Predictive Analytics Jobs in Hyderabad
220 Jobs Found
EAM Domain Expert
Innovapptive
Position: EAM Domain Expert Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Medical Benefits About Innovapptive: At Innovapptive, we are transforming industrial operations by connecting front-line workers, back-office teams, and assets through our patented, code-free platform integrated with SAP and IBM Maximo. Our mobile-first connected worker solution digitizes maintenance, operations, and supply chain processes, empowering some of the world s largest brands including Shell, UNICEF, and Newmont Mining to improve asset uptime, productivity, safety, and workforce engagement. Backed by Tiger Global Management and Vista Equity Partners, Innovapptive is recognized as one of the most innovative tech platforms by Nasscom and is Great Place to Work (GPTW) certified for three consecutive years. Role Overview: We are seeking an experienced Maintenance and Reliability Domain Expert to join our team. You will play a key role collaborating with product management and professional services to align our Industrial SaaS offerings with the real-world needs of maintenance and reliability professionals. Your deep domain expertise will help shape product strategy, optimize workflows, and enhance the connected worker experience. Key Responsibilities: Serve as the subject matter expert on maintenance and reliability best practices, including Work Identification, Planning & Scheduling, Execution, and Closure. Collaborate with product management on feature prioritization, roadmap planning, and product enhancements. Analyze user personas maintenance professionals and technicians to deeply understand their pain points and workflow challenges. Optimize maintenance workflows to enhance technician productivity and reduce backlogs. Identify opportunities to minimize downtime via preventive and predictive maintenance strategies. Design and conceptualize user-centric solutions aligned with our mobile-first connected worker philosophy. Gather and prioritize requirements from customers and internal stakeholders into actionable product features. Develop training materials and documentation tailored to maintenance professionals. Stay abreast of emerging trends, technologies, and competitive offerings in maintenance and reliability. Champion rapid product iteration, driving efficiency, quality, and speed-to-market. Collaborate cross-functionally with engineering, design, marketing, professional services, and sales teams. Advocate for customers throughout the product lifecycle using data-driven decision making, user research, and usability studies. Thrive in a fast-paced, startup-like environment demonstrating adaptability, innovation, and results orientation. What You Bring: Required Qualifications: Bachelor s degree in a relevant field; advanced degree or certifications a plus. 8+ years of experience in industrial software focusing on maintenance and reliability processes. Strong expertise in Work Identification, Planning & Scheduling, Execution, and Closure. Excellent analytical, problem-solving, communication, and presentation skills. Ability and willingness to travel as needed. Preferred: Proven collaboration with cross-functional teams (product, engineering, professional services). Experience with mobile-first and connected worker technologies. What We Offer: Competitive compensation including stock options. Exceptional health, vision, and dental coverage for you and your family. Positive, innovative, and entrepreneurial work environment. Opportunity to work with global industry leaders. Generous vacation and paid time off. Paid maternity and paternity leave. Bi-annual performance reviews in an OKR-driven culture. Access to extensive learning & development resources. Participation in diverse interest groups and employee clubs (sports, music, Toastmasters, etc.). Innovapptive does not accept unsolicited resumes from search firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to legally protected characteristics. Qualification : Bachelors degree in a relevant field; advanced degree or certifications a plus.
Senior Data Scientist
Salesforce
Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.
Lead Data Scientist - Media Mix Modelling (mmm)
Blend360 India
Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.
Senior Data Scientist
Microsoft
Senior Data Scientist Location: Hyderabad, Telangana, India Employment Type: Full-Time Overview Microsoft Search powers delightful and relevant experiences for enterprise users, and AI-driven Copilots have turned futuristic visions into current-day reality. We are seeking candidates who can help build the next-generation machine learning systems to drive innovation in search ranking, clustering, recommendation systems, and much more. As a Senior Data Scientist in the team, you will work independently on complex problems, define success metrics, and contribute to design and review processes for machine learning/data pipelines across the team. If you're ready to tackle challenging data science problems and help shape the future of search, we want you on our team! Key Responsibilities End-to-End Ranking: Oversee the ranking of search results and contribute to enhancing search relevance. Large Language Models (LLMs): Work on developing and deploying large language models to improve search experience and AI-powered copilots. AI-powered Copilot Scenarios: Drive innovations in AI systems that enhance user productivity and engagement through Copilot capabilities. Compliance & Privacy: Develop machine learning training pipelines at scale that are privacy and compliance-aware. Personalization: Customize search results and recommend relevant content based on user preferences. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 2+ years of data science experience OR Master s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 5+ years of data science experience OR Bachelor s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience. Experience working with both structured and unstructured data, applying statistical techniques, and reporting results. Hands-on experience with implementing and shipping production-quality machine learning models or data pipelines. 2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience. Strong programming skills in Python, R, or similar languages, and familiarity with machine learning libraries. Preferred Qualifications: Prior work or research experience in the Search domain is highly preferred. Familiarity with large-scale distributed systems, cloud platforms (such as Azure), and real-time machine learning applications. Experience with deep learning and large language models (LLMs). Familiarity with compliance and privacy in machine learning pipelines. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft Search, you will be part of a team solving impactful problems for millions globally. Join us to drive cutting-edge advancements in AI and contribute to shaping the future of search and user experiences. Employee Benefits Industry-leading healthcare coverage Generous time off and family leave policies Access to educational resources and professional development Employee discounts on Microsoft products and services Opportunities for networking and global collaborations Inclusive and supportive work environment with a focus on work-life balance Microsoft is an equal opportunity employer. We are committed to creating a diverse and inclusive environment where every individual is treated with respect and can thrive. Join us to make a global impact through innovation, collaboration, and diversity.
Data Analyst/bi Developer
Milestone Technologies
Data Analyst/BI Developer Location: Hyderabad, India Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure, and services to drive specific business outcomes, including digital transformation, innovation, and operational agility. With a culture focused on building an employee-first, performance-based environment, Milestone has a history of supporting category-defining enterprise clients. We provide solutions in Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. For over 25 years, Milestone has been at the forefront of transforming the IT industry, applying best practices to deliver both short-term and long-term value to clients. By utilizing Intelligent Automation, we help businesses accelerate their IT transformation while improving operational efficiency. With a team of over 3,000 employees serving 200+ companies worldwide, we are committed to delivering innovation and improving productivity in business operations. Job Overview Milestone is seeking a talented and dynamic Data Analyst/BI Developer to join our team. This role involves developing and maintaining interactive dashboards and reports, optimizing SQL queries, and designing data models to support business needs. The ideal candidate will have a strong background in Tableau, SQL, and Power Apps, and will be responsible for transforming business requirements into technical solutions while ensuring data quality and integrity. Responsibilities: Develop and maintain interactive dashboards and reports using Tableau (strong experience required). Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources. Design and implement data models and databases to support business needs. Work with cross-functional teams to understand business requirements and translate them into technical solutions. Create and manage Power Apps to automate workflows and improve business processes. Perform data validation to ensure data quality and integrity. Provide training and support to end-users on data tools and applications. Stay updated with the latest trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 7+ years of proven experience with Tableau for data visualization. 5+ years of strong proficiency in MS SQL Server and experience with relational databases. 2+ years of experience with Power Apps for creating business applications. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Experience with other data tools and technologies is a plus. At Milestone, we empower our employees to achieve their full potential in a collaborative and inclusive environment. As a Data Analyst/BI Developer, you will have the opportunity to work on innovative data solutions, enhance business decision-making, and drive meaningful change. Join us and be part of a dynamic team that is revolutionizing the way IT is deployed worldwide. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Solutions Architect
Kore.ai
Job Opening: Solutions Architect Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we enable over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences, and employee productivity. Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation. Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, the UK, Germany, Korea, and Japan. About the Role The Solutions Architect will play a key role in translating business requirements into technical specifications and designing cutting-edge solutions to meet customer needs. The role involves creating detailed design documents, defining implementation strategies, and collaborating with teams to develop high-quality, scalable applications. As a leader, you will work closely with clients to propose technical solutions that resolve business issues while driving the overall architecture and technical direction. What You'll Do Design & Architecture: Prepare detailed design documents and approaches using various tools. Define implementation approaches, algorithms, and code structure to meet requirements. Technical Leadership: Lead the analysis, design, and implementation planning of technical/business solutions. Take a cross-team leadership role to ensure the solution aligns with business objectives. Customer Interaction: Interface with customers to understand their technical environments and propose technical solutions to resolve business challenges. Technology Selection: Stay up to date with the latest technologies and tools, evaluating and selecting appropriate technologies as per project requirements. System Integration: Identify interfaces with other products and ensure seamless integration. Work on scaling and optimizing the performance of large systems and web applications. Development & Implementation: Define and create SOAP & RESTful web services. Work on reporting & analytics, and consumer/employee-facing business applications. Qualifications & Experience Experience: 10+ years of overall technical experience with a minimum of 3 years as a Technical Solution Architect. Technical Skills: Experience in OOPS, Multi-threading, JavaScript, jQuery, Node.js, HTML5, CSS3, and user authentication/authorization models. System Design & Architecture: Experience in defining technical solutions, creating technical specifications, and working on large-scale systems and web applications. Experience in API Development: Expertise in SOAP & RESTful web services, along with experience in system integration and reporting & analytics. Nice to Have: Experience in Smartbot development and integrating with NLP engines, and familiarity with AI frameworks and technologies. Education Qualification Graduate in Engineering or Master's in Computer Applications (MCA) preferred. Be a part of a global leader in AI technology, driving transformation in enterprise operations and customer experiences. Work in an innovative environment with cutting-edge technologies, where you ll lead technical solutions that impact global businesses. Collaborate with a talented team and contribute to building scalable, impactful AI applications that are transforming industries. Kore.ai, founded in 2014 by serial entrepreneur Raj Koneru, is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. Our diverse and talented team of professionals is committed to driving the future of enterprise AI solutions. We ve earned recognition from top analysts like Gartner, Forrester, and IDC, making us a leader in the AI space. Qualification : Graduate in Engineering or Master's in Computer Applications (MCA) preferred.
Ai/ml Developer
Infor
Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.
Senior Data Analyst
Iq Eq Regcom Limited
Job Description Responsibilities We have a fantastic opportunity for an experienced Data Analyst join our global Data Transformation team. This role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to deliver outcomes in a host of key areas to maximise business value and growth delivering improvements for internal and external stakeholders and clients. In this role, you will drive requirements gathering and deliver appropriate solutions aligned with project goals. You will document functional designs, implement proper controls around business requests, and collaborate globally on Data Platform Data Services design initiatives. The role involves identifying and documenting system gaps and enhancements, working cross-functionally with IT teams to deliver high-quality solutions, and continuously seeking process improvements. Success requires quick adaptation to understand both client and internal stakeholder needs, ensuring efficient delivery of business requirements. Experience (what does the role do on a day-to-day basis) Experience of coding in programming languages such SQL (required), Python (required), Java and Excel VBA. Data analysis experience, database administration knowledge, data mining and manipulation. Proficient in MS Excel with a working knowledge of Excel VBA. Comfortable using APIs, SQL query writing, report development / BI tools (Crystal, SSRS, SSIS, Tableau). Experience of writing technical documentation and presenting information clearly to senior stakeholders. Knowledge of the funds industry and accounting knowledge beneficial. Working in global environment. Key behaviours we expect to see In addition to demonstrating our Group Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Communicates Effectively Adjusting communication style to fit the audience & message. Providing timely information to help others across the organisation. Encourages the open expression of diverse ideas and opinions Action Orientated Readily taking action on challenges without unnecessary planning and identifies new opportunities, taking ownership of them Interpersonal Savvy Relating comfortably with people across all levels, functions, cultures & geographies. Builds rapport in an open, friendly & accepting way An analytical mind, excellent problem-solving & diagnostic skills, attention to detail Qualifications Required Experience Education / professional qualifications Bachelor's degree in computer science or another technical field 8-10 years of experience in a Data Analyst capacity Background in Financial Industry preferable in the Alternative Asset management domain Experience with Investment management accounting system such as Investran, Paxus, Efront etc preferrable Background & Technical experience Knowledge of BI, Data and Analytics Knowledge of programming languages, SQL, Python, Knowledge of Excel Formulas Excellent analytical and numerical skills. Strong problem solving and conceptual thinking. Other company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Possess the skills and the personality to operate effectively in a very fast-paced complex global business with an in-depth knowledge of program management Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary Strong analytical and troubleshooting skills. Ability to investigate and analyse information, and to draw conclusions. Ability to meet and adhere to internal and external deliverables whilst maintaining an exceptionally high standard. Languages Must be fully proficient in spoken and written English, additional European languages will be an asset Qualification : Bachelor's degree in computer science or another technical field
AI/ML Developer
Infor
Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.
Manager - Data Scientist
Blend360 India
Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.
BI Senior Analyst (Tableau Developer)
Blend360 India
Job Title: BI (Tableau) Developer Location: Hyderabad Department: Business Intelligence Employment Type: Full-Time, Permanent Role Overview: As a BI (Tableau) Developer, you'll turn raw data into compelling visual stories that help drive decision-making. You will collaborate closely with clients, create stunning dashboards, and lead end-to-end BI projects. If you're passionate about transforming data insights into actionable strategies and thrive in a dynamic, consulting-driven environment, this role is for you. Key Responsibilities: End-to-End BI Implementation: Manage the full BI lifecycle, including data modelling, report building, delivery, and post-implementation support. Create visually stunning Tableau dashboards and reports that provide business insights. Write efficient SQL queries to extract, transform, and analyze data for visualizations. Tableau Development: Design, develop, and maintain interactive Tableau dashboards that are both engaging and functional. Ensure data visualization best practices are followed, ensuring dashboards are intuitive and actionable. Business Knowledge & Collaboration: Work directly with clients to understand their business needs and translate them into impactful BI solutions. Provide data-driven insights that enable clients to make informed decisions. Cross-Tool Integration: Experience with other BI tools like Power BI or Qlik Sense is a plus, allowing for versatile solutions across platforms. Qualifications: Experience: 5+ years in Business Intelligence, specifically focusing on Tableau development and SQL. Strong understanding of data visualization best practices and BI architecture to ensure high-quality, actionable reports. Proven ability to implement BI solutions for complex business scenarios, driving real-world impact with data-driven insights. Ability to tackle challenges with a proactive, solutions-oriented mindset. A track record of delivering projects with enthusiasm and drive, even in fast-paced environments. Ability to mentor and collaborate, contributing to a positive and innovative team dynamic. Creative thinker: Always looking for new ways to leverage data to drive business strategies. Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise. Dynamic Career Growth: A vibrant environment that offers opportunities for rapid growth, mentorship, and development. Idea Tanks: A platform for you to pitch, experiment, and collaborate on ideas that shape the future. Growth Chats: Casual, insightful discussions with peers to foster learning and skill development. Snack Zone: A variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Regular shoutouts and rewards for your great work, making your contributions celebrated. Fuel Your Growth Journey with Certifications: Blend supports your personal and professional growth by covering the cost of certifications. If you are passionate about Tableau, data visualization, and transforming data into insights, apply today to join an innovative, collaborative team at Blend!
Senior Data Scientist
Technovert
Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!
Engineering Manager, Machine Learning
Google Careers
About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.
Salesforce Is Business Analyst
Amgen Inc
What you will do Let s do this. Let s change the world. In this vital role you will enhance our Salesforce ecosystem by facilitating seamless communication between stakeholders, developers, and administrators, and delivering solutions aligned with our business objectives. Roles & Responsibilities: Requirements Gathering and Analysis: Collaborate with stakeholders to document business requirements assist in translating them into technical specifications. Responsible for forecasting, procuring, and managing Salesforce licenses to support the needs of Product Teams. This role ensures optimal license utilization, compliance, and alignment with organizational requirements. Solution Design Support: Work with Salesforce teams to design scalable solutions that align with best practices. Stakeholder Engagement: Act as a liaison between Product Teams and Salesforce Platform, conducting workshops and training sessions where required. Data Analysis and Reporting: Analyze Salesforce data to uncover insights and maintain performance dashboards. Testing and Quality Assurance: Create and execute test plans to ensure system functionality. AI and Advanced Technologies: Leverage AI technologies like Salesforce Einstein for predictive insights and automation. Continuous Improvement: Stay updated on Salesforce advancements and recommend innovative solutions. Functional Skills: Must-Have Skills (Not more than 3 to 4): Experience as a Salesforce Business Analyst or in a similar role. Strong knowledge of Salesforce Sales Cloud, Service Cloud, and other core platform functionalities such as Salesforce Marketing Cloud. Experience with MS Office tools including Excel/Word/PowerPoint What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Master s degree and 1 to 3 years of Business Administration, Information Technology, or a related field experience OR Bachelor s degree and 3 to 5 years of Business Administration, Information Technology, or a related field experience OR Diploma and 7 to 9 years of Business Administration, Information Technology, or a related field experience Preferred Qualifications: Good-to-Have Skills: Experience with AI technologies, including Salesforce Einstein, AgentForce and OpenAI (e.g., ChatGPT) Proficiency with tools like JIRA, Tableau, or equivalent data visualization tools. Exceptional analytical, problem-solving, and communication skills. Experience with collaboration tools like MS Teams/QUIP/Confluence Professional Certifications Salesforce Administrator (mandatory) Salesforce Business Analyst (mandatory) Salesforce AI Associate (mandatory) SAFe Certification (preferred) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com
Consultant Specialist
Hsbc
If you're looking for a career that will help you stand out, join HSBC and fulfill your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support, and rewards that will take you further. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive, economies to prosper, and ultimately helping people fulfill their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. Role: Consultant Specialist Key Responsibilities: Collaboration & Delivery: Collaborate with the Qualtrics Product Owner (HR Employee Listening), HR Technology, Agile Lead, and/or Scrum Master to deliver the Qualtrics product backlog. Capture, analyze, and document business processes to ensure alignment with business needs. Participate in the design of solutions to address business requirements and configure solutions using the Qualtrics platform. End-to-End Solution Delivery: Work with wider HR Tech teams to deliver end-to-end technical solutions, including integration and embedded surveys. Develop excellent platform knowledge through self-learning, training courses, and collaboration with professional services teams. Actively participate in the Qualtrics Pod, addressing system defects, delivering service requests, managing development changes, performing upgrades/patching, and proactively monitoring system health and performance. Testing & Compliance: Test configurations to ensure they meet requirements and quality standards. Align with HSBC development standards and best practices, including Agile delivery and Release Management controls. Write appropriate functional and technical documentation for all deliveries. Continuous Improvement: Identify opportunities for continuous improvement, focusing on user experience, security, quality, error detection, and performance enhancements. Requirements: To be successful in this role, you should meet the following criteria: Experience: Experience working with the Qualtrics platform or similar SaaS survey/employee experience technology. Background in data or statistical analysis. Proven success within a DevOps and Agile team environment. Experience in software development and/or application configuration. Experience working in a multi-cultural environment with the ability to adapt to different cultures. Experience of working in virtual, geographically dispersed locations and timezones. Technical Skills: Experience with core IT Service Management processes, including Incident Management, Problem Management, and Release Management. Experience of producing technical specifications and documentation. Knowledge of SaaS technology, APIs, and integration technology. Familiarity with the Qualtrics platform functionality, configuration, support resources, and roadmaps. Additional Skills: Strong analytical and problem-solving skills. Strong interpersonal and communication (oral and written) skills. Skilled in creative and lateral thinking. Excellent influencing, persuasion, and negotiation skills in workshops and presentations. Advanced skills in MS Excel, PowerPoint, Word, and Visio (or similar tools). At HSBC, you'll be part of a dynamic environment that fosters continuous professional development, offers flexible working options, and promotes a collaborative culture. Join us to be part of a global organization where your contributions will make a meaningful impact.
CSG Strategy & Analytics Senior Manager
Salesforce
Description The CSG Strategy & Analytics Senior Manager professional will play a crucial role in supporting the explosive growth of Salesforce. This role is a hybrid of traditional jobs in strategic planning, renewals strategy, business operations, reporting, and analysis requiring a mix of market analysis, renewals analytics, and business operational support. This role is part of a high-performance team comprised of professionals from a diverse set of backgrounds and skills. Success in this role means assisting the Renewals team to drive the continued success of Salesforce by supporting our customer success strategy and will play a pivotal role in driving the growth of Salesforce's Renewals. Sample projects range from the strategic to the very operational including evaluating growth opportunities, business planning, customer segmentation, dashboard creation, automation of processes, and regular review of key performance metrics. As a people manager, this role will lead a team of versatile analysts and senior analysts, fostering a collaborative and high-performing environment. The deliverables include detailed analytic models, custom performance analysis, building scalable reporting, ensuring robust data governance, and packaging findings into presentation-ready content for Salesforce executives. The role requires interaction with various areas of the organization and provides exposure to senior executives. Additionally, this role will serve as a key partner to the data engineering contacts based in India to ensure a comprehensive data strategy for the evolving business. We are seeking a strategic thinker who can effectively balance detailed analysis with a comprehensive understanding of broader business objectives. The ideal candidate will possess the ability to synthesize complex data and insights into clear, actionable strategies that align with our overarching goals. Responsibilities: Lead and manage a group of Analysts, Senior Analysts and Managers in their growth and understanding of the business. This includes offering guidance on complex projects, sharing industry insights, and supporting their development of critical skills necessary for success in their roles Deliver recommendations and insights that support senior stakeholders (VPs and SVPs) in managing their KPIs Act as the primary point of contact for data engineering teams based in India, ensuring a robust data strategy roadmap that aligns with the evolving needs of the business. Collaborate closely with engineering contacts to implement best practices in data management, governance, and integration. Understand the underlying data architecture supporting the Renewals business, and how to use it to report on business performance and forecast results. Assist in developing and delivering presentations for senior executives to engage with their leaders or counterparts Identify and optimize the true drivers of financial performance, productivity, customer engagement, and other metrics Lead the development of Business Intelligence (BI) dashboards for use by global leaders and field teams in the CSG Renewals group and broader Customer Success Group Spearhead initiatives to automate reporting processes, enhancing efficiency and accuracy. Develop and implement automated reporting solutions that provide timely and actionable insights, reducing manual effort and enabling the team to focus on strategic analysis. Desired Skills/Experience: 7+ years of experience in renewals/sales analytics, business intelligence, or a related field. 4+ years of experience in managing and leading teams, with a proven track record of fostering a collaborative and high-performing environment. Demonstrated experience in dealing with data governance, including the implementation of best practices for data quality, security, and compliance. Self-starter and a high degree of motivation to go above and beyond the task at hand Bachelor s degree in the quantitative field from an accredited university. MBA or Masters in a technical field a plus Proficiency with SQL and Tableau (or a similar data visualization tool). Python and/or R a plus Valuable work experience focused on quantitative analysis, Excel, and logical reasoning Experience creating BI dashboards and assets end-to-end; from initial scoping, data wrangling, asset creation, deployment and enablement Familiarity with CRM and data management Strong communication skills; both written and verbal Team player able to lead and work effectively at all levels of an organization with the ability to influence others to move toward consensus Strong situational analysis, negotiation, and decision-making abilities. Detail and quality-oriented with the desire to quickly learn new concepts, business models, and technologies Qualification : Bachelors degree in the quantitative field from an accredited university. MBA or Masters in a technical field a plus
Software Developer _ Ai/ml
Ibm India
Introduction At IBM, work is more than a job it s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world s most challenging problems? If so, lets talk. Your Role and Responsibilities We re looking for software development candidates that want to turn ideas into reality, focus on innovation and development in our modernization journey. Our Strategic Product Development team creates and delivers exciting product features that impact the business to be successful. You ll work alongside global and local multidisciplinary teams of Developers, Architects and Analysts focused on the next generation of solutions. Do you enjoy working and thrive in a Challenging yet collaborative team environment? Passionate about technology and software? You have extremely strong analytical, problem-solving and troubleshooting skills? If so, you ll fit right in with our team. You employ creative thinking and collaboration as the foundation of your daily approach towards our Product development team. At IBM, job is more than work! It offers you thrive on career as well as on skills to be latest with a perfect work-life balance. Required Technical and Professional Expertise 2 10 years of relevant industry experience in Artificial Intelligence and Machine Learning Platforms with specialization in Generative AI. Solid experience of Python Programming Language. Experience with Large Language Models and Natural Language Processing Familiarity with the Pytorch framework Experience with software development lifecycle Excellent problem determination skills Excellent written and oral communication skills Excellent organizational skills Preferred Technical and Professional Expertise Design experience for supporting new requirements. Willingness to learn new skills and technologies. Experience using git and github Familiarity with Node.js and creating VS Code extensions Flexible to work between development/test/support roles. Knowledge on other programming languages (C/C++, Java, Open-Source Programming Languages) is added advantage.
Data & Applied Scientist Ii
Microsoft
Overview The Web Experiences Team (WebXT) at Microsoft is accelerating innovation to enable engaging web experience products for every person. Our team uses latest NLP deep learnt models to prepare Grounding data for our Copilot efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team. We are looking for a Data & Applied Scientist IIwho is excited to work on ML/DL models capable to work at internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works. As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office. We would like you to get a peek into our culture on Instagram (@lifeatstci) and below is more about this job and what we are looking for. Happy applying! Visit us at https://aka.ms/STCI Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Additional or Preferred Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electricalor Computer Engineering, or related field 3+years of professional experience applying Deep learning, Machine Learning concepts in real world applications. Research and/or development experience with machine learning, NLP and data mining. Experience in architecting, developing, and delivering advanced NLP projects. Responsibilities Your responsibilities include: Developing novel machine learning and data mining algorithms. Designing and developing solutions that respond in real time. Build data quality checks and re-usable modules for the training. Host ML models with production-ready code. Designing and executing offline/online experiments. Advancing the state of the art of NLP technologies for real world scenarios. Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages. Qualification : Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
Senior Biostatistician
Parexel
Job Description : As an experienced Biostatistician, you will lead research design and analytical strategies, provide input into protocols, develop and review statistical analysis plans and author/co-author reports, abstracts and manuscripts. You will use your knowledge to advise, provide guidance and to oversee the quality control of statistical deliverables. As the functional lead within a study team, you will direct the Biostatistical activities on a study and be accountable for the deliverables. Senior, Principal, and Senior Principle level Biostatisticians at Parexel are client-facing and play an integral part in the study team. Leverage your expertise. Develop complex analysis strategies and execute them using efficient programming techniques (software: SAS, R). Foster teamwork. Perform intricate statistical analyses and provide input to statistical reports. Share knowledge. Provide input to analysis plans, statistical reports, statistical sections of integrated clinical reports. Impact the process. Be a proactive advisor for all types of analysis from the proposal process through the project life cycle. Take quality seriously. Review analysis data sets and quality control all types of statistical analysis deliverables. Coach and mentor. Train and uplift junior members of the department. Job Qualifications: Experience: A minimum of 5 years industry (or directly relevant) experience ,A thorough understanding of the statistical aspects of either clinical trials and/or observational studies. Experience in statistical analysis in a clinically related subject, either within clinical trials or in Epidemiology. SAS programming or R programming skills (desired) Education: A Masters or Ph.D. level education in biostatistics, statistics, mathematics, or another relevant discipline. Skills: Confidence be self-reliant and a quick learner who enjoys working in a matrixed team. Good leadership skills. Strong oral and written English communication skills. The ability to travel as required, although this is not frequent. A strong work ethic to promote the development of life changing treatments for patients Qualification : A Masters or Ph.D. level education in biostatistics, statistics, mathematics, or another relevant discipline.
Principal Statistical Modeler - Big Data
Sanofi
Role:Principal Statistical Modeler - Big Data Location: Hyderabad About the job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a Clinical Moder - Big Data Machine Learning within our Clinical Modeling and Evidence Integration team / Hyderabad, you will develop and implement data cohort creation, data insights and predictive or machine learning models with Big Data (such as large observational study results, electronic health records, Real World Evidence studies) to generate clinical development relevant insights and decision supports. Main responsibilities: Create the cohorts of interest from the big data sources (i.e. electronic health records). Provides data visualization and summaries reports. Develop or implement clinical machine learning models to bridge RWE and clinical inference. Collaborate with cross-functional teams to address scientific questions with integrated RWE and clinical insights. Assist and may work under the direction of clinical modelers. About you Experience: 3 Years of experience in Machine Learning if no PhD Machine learning skills. Experience/Knowledge in Causal inference methods is a plus. Excellent Python and/or R programming skills are required. Experience in tidymodels framework is a plus. Experience using version control systems (eg, Git, GitHub). Soft and technical skills: Good interpersonal and communication skills Good understanding of statistical concepts. Some knowledge about clinical development is a plus. Education: PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines Languages: R, Python, Julia. SAS is a plus Qualification : PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines
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