Senior Research Data Scientist Jobs in Hyderabad

Job Title: Regional Manager Core Diagnostics Locations: Hyderabad Experience Required: 2 4 Years Industry: In Vitro Diagnostics (IVD) / Healthcare / Medical Devices Employment Type: Full-Time Job Overview We are looking for an ambitious and results-driven Regional Manager to lead sales and business development efforts for our Core Diagnostics division across Hyderabad and Ahmedabad regions. The ideal candidate will have a strong background in IVD sales, relationship management, and regional business expansion, with the ability to drive growth in a competitive diagnostics market. Key Responsibilities Drive sales growth and achieve revenue targets for the Core Diagnostics product line in the assigned region. Build and maintain strong relationships with hospitals, diagnostic labs, and channel partners. Identify new business opportunities and expand market presence in the IVD and healthcare diagnostics sector. Develop and implement territory-specific sales strategies and account plans. Conduct regular product presentations, demos, and training for clients and internal stakeholders. Collaborate with the marketing, technical, and operations teams to ensure smooth execution of regional strategies. Monitor competitor activities and market trends to identify challenges and areas for improvement. Maintain accurate and timely sales data in CRM tools and provide regular reports to senior management. Qualifications & Skills Education: Degree in Medical Laboratory Technology (MLT), Biomedical Engineering, or Pharmacy. Experience: Minimum 2 years of proven experience in IVD sales, preferably in a regional or field role. Strong knowledge of diagnostic instruments and reagents. Excellent communication, negotiation, and interpersonal skills. Ability to work independently and manage a regional territory effectively. Willingness to travel extensively within the assigned geography. Key Competencies Strategic account management Field sales and territory development Product knowledge in clinical diagnostics/IVD Goal orientation and performance-driven mindset Customer relationship and stakeholder engagement Work with a leading name in the IVD and diagnostic industry Opportunity to make a significant impact in a growth-focused environment Competitive compensation and performance-based incentives Collaborative culture with training and development support Apply now and help shape the future of diagnostic healthcare in India. Qualification : Degree in Medical Laboratory Technology (MLT), Biomedical Engineering, or Pharmacy.

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.

Job Summary: Senior Operations Specialist Location: Hyderabad, India Grade Level: 09 Department: Operations Group Division: S&P Global Ratings Role Overview: As a Senior Operations Specialist, you will act as the central point of coordination for office operations, employee engagement, and executive support in S&P Global s Hyderabad Orion office. Reporting to the site leader, you will ensure operational efficiency through calendar, travel, and logistics management while also driving site-level initiatives in collaboration with global teams. Key Responsibilities: Support senior leadership by managing calendars, travel, logistics, and expenses. Lead site-level initiatives including employee engagement programs, large-scale meetings, town halls, and office communication efforts. Coordinate cross-functional projects with HR, Finance, Facilities, Security, and Procurement. Manage vendor relations, procurement workflows, seating/headcount data, and office supplies. Oversee project and operations documentation, newsletters, and internal communication. Provide a point of continuity for visiting leaders and remote team members. Identify process improvements to enhance operational efficiency and compliance. Who You Are: Education: Bachelor s degree or higher. Experience: 4+ years in administrative, operations, or office management roles preferably in IT or financial services. Skills: Strong project coordination, stakeholder management, and multitasking abilities. Excellent written and verbal communication. Proficient in Microsoft Office Suite, with experience in Excel, PowerPoint, and tools like Tableau. Familiar with project management methodologies such as Agile or SCRUM. Soft Skills: High emotional intelligence, initiative, and ability to work independently and under pressure. Comfortable working with diverse, global teams and senior stakeholders. What You ll Gain: Exposure to executive operations and high-impact initiatives within a global organization. Career development through interaction with cross-functional teams and senior leaders. A role that blends strategic thinking, operational oversight, and employee engagement. Access to best-in-class benefits and professional growth tools. About S&P Global Ratings: S&P Global Ratings is the leading provider of credit ratings, research, and sustainable finance opinions. We deliver independent insights that help businesses, governments, and institutions make decisions with clarity and confidence. As part of S&P Global, we empower global markets with data-driven intelligence. Qualification : Bachelors degree or higher.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

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.

Senior Product Designer About Celigo: Celigo is a modern integration and automation platform (iPaaS) focused on simplifying how companies integrate, automate, and optimize processes. Purpose-built for mission-critical processes, Celigo provides tools like runtime AI and pre-built integrations designed to tackle the biggest integration challenges, making it incomparably easier to maintain. We are seeking a Senior Product Designer who is proactive, unafraid to own and advocate for an iterative design process, and driven towards finding simple, easy-to-use, intuitive, and elegant solutions to complex design problems. You will play a key role in shaping the overall user experience, from conducting discovery user research through to designing micro-interactions for our product UIs. Key Responsibilities: Create design assets such as user journey flows, wireframes, visual designs, service blueprints, prototypes, and detailed specs to capture and convey design behaviors and implementation details. Use user research data (usability studies, surveys, interviews, etc.) and metrics to inform design decisions. Expert in conducting and synthesizing user research with proficiency in qualitative and quantitative methods such as user interviews, surveys, usability testing, and analytics. Lead user research activities (with or without the support of a dedicated researcher), ensuring early validation of product ideas and concepts. Champion good user experiences and share best practices, demonstrating curiosity about customer needs and behaviors. Collaborate closely with product managers, engineers, content strategists, and other designers in an iterative design process. Maintain high standards for usability, accessibility (WCAG), quality, beauty, and consistency using best design practices. Engage in feedback sessions, ensuring alignment with larger product goals, and challenge peers productively. Advocate for user-centered design, ensuring design decisions are rooted in user needs and behaviors. Think big while considering the larger system, sweating the small details that enhance the product. Be a team player with humility, hard work, and a willingness to help others succeed. Informally mentor and provide feedback to other designers. Contribute to shaping the design team s culture through collaboration, feedback, and process iteration. Qualifications: 5-8 years of experience designing delightful user experiences with a portfolio showcasing processes and deliverables. Proven ability to clarify, present, justify, and defend design decisions to stakeholders. Experience contributing to and consuming component-based design systems. Expertise in Figma/FigJam and other relevant UX design, research, and prototyping tools. Strong attention to detail, problem-solving skills, and excellent presentation skills. Significant experience in designing B2B applications or SaaS products, particularly in agile, iterative environments. Demonstrated experience in responsive design patterns and design systems. Strong focus on usability and efficiency, with a drive to simplify complex problems. Strong information design skills with a solid foundation in UX design heuristics. Ability to build strong relationships with cross-functional teams. Ability to thrive in a collaborative, ego-free, cross-functional team environment. Confidence in design leadership and effective communication across teams. Excitement for solving real customer problems with smart, delightful solutions aligned with company goals. Preferred Qualifications: Bachelor's/University degree, Master's degree in HCI or design-related field with an emphasis on user experience, interaction design, or visual design. Experience with motion design, HTML, CSS, JS, and other front-end technologies. Strong understanding of how AI and machine learning can inform design decisions, enhance interactions, and personalize experiences. Visionary in the 2024 Gartner Magic Quadrant for iPaaS and a recognized leader in AI. Remote-first culture and competitive compensation. Generous benefits package including wellness days, vacation, and holidays. Diversity, Equity, Inclusion, and Accessibility: Committed to fostering a collaborative and inclusive work environment through initiatives like the Taking a Stand Committee. Celigo is proud to be an equal-opportunity employer. We value diversity and welcome applicants from all backgrounds to join us in creating a safe and welcoming work environment. Qualification : Bachelor's/University degree, Master's degree in HCI or design-related field with an emphasis on user experience, interaction design, or visual design.

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.

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!

Description Johnson & Johnson Innovative Medicine is recruiting a Data Science Solutions Manager. The primary location for this position is in India (Hyderabad/Bangalore). Innovative Medicine develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Cardiovascular, Immunology, Neuroscience, and Infectious diseases. Our ultimate goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market from patients to practitioners and from clinics to hospitals. In this role, you will: Partner closely with members of the Innovative Medicine R&D data science organization and other business stakeholders to lead a team to implement data science solutions and business intelligence products. You will be responsible for the delivery of engaging and innovative data products, intuitive solutions, analysis ready datasets, dashboards & insights, to make data more accessible and useful As the Data Science Solutions team, we are responsible for partnering directly with stakeholders to understand business needs and deliver products & education to increase data driven insights and decision making. Responsibilities: Recruit, develop and retain talent Provide direction, mentorship, and coaching to a team of data analysts and visualization specialists, fostering an environment of collaboration, innovation, and professional growth Build and maintain relationships with key stakeholders, ensuring that data products and solutions meet their needs while also advancing organizational goals. Apply the knowledge of pharmaceutical R&D processes to develop innovative solutions and products Ability to lead the team to develop and implement high quality data products, analysis ready data sets and apply human centered design to turn data into insights Collaborate with stakeholders to gather user requirements and understand the business needs. Design wireframes taking a user-centric approach to build intuitive products and iterate quickly to land on an efficient design. Review data products with stakeholders to ensure accuracy and alignment with the desired outcomes Incorporate feedback and suggest improvements to enhance the usability and effectiveness of visualizations. Manage multiple priorities simultaneously and consistently deliver high-quality work within established timelines. Set clear expectations with stakeholders regarding deliverables and project timelines. Stay up-to-date with the latest data management and analysis techniques and industry trends. Proactively identify opportunities to leverage data visualizations for improved decision-making. Qualifications A minimum of a Bachelor s degree is required, preferably with a major data science, bioinformatics, technology with 5 years of experience working in pharmaceutical or relevant industry Requirements: Knowledge and experience with pharmaceutical R&D, clinical development and operations Prior experience in working with clinical trial data: biomarker or clinical trial operations / clinical trial feasibility data Strong proficiency in Tableau and SQL: A portfolio of previously built data visualization is mandatory for interview. Expertise in data visualization principles and best practices. Add ability to query relational databases and work with ad-hoc files. Experience working with large and complex data sets. Experience leading teams Comfortable working with stakeholders to gather user requirements and incorporate feedback. Ability to manage multiple priorities and work effectively in a fast-paced environment. Excellent communication and presentation skills. Attention to detail and ability to ensure accuracy in data visualizations. Qualification : A minimum of a Bachelors degree is required

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

The Opportunity We're seeking an experienced Director or Senior Product Marketing Manager (depending on experience) to drive our product marketing initiatives for Adaptive MDR. This role offers a unique opportunity to make a significant impact in the cybersecurity landscape, with the potential for leadership growth. Your Impact As a key player in our marketing team, you'll shape our product marketing direction, create compelling content, and drive our products' success in the competitive cybersecurity market. Key Responsibilities Strategic Leadership & Messaging Develop and execute comprehensive product marketing strategies for our Adaptive MDR solution. Craft compelling product positioning, messaging, and narratives that resonate with our US target audience and illustrate our unique value proposition. Lead go-to-market strategies for new product launches, ensuring successful adoption and market penetration. Collaborate with cross-functional teams to align marketing efforts with business objectives. Content Creation & Campaign Management Create engaging content across various formats, including thought leadership assets, landing pages, solution decks, reports, blogs, and demos. Design and execute strategic marketing campaigns with clear goals, targeted messaging, and precise segmentation strategies. Ensure all content and campaigns align with our brand voice and communicate our product benefits effectively Industry Presence and Thought Leadership Lead Netenrich's presence at key industry events and deliver compelling presentations to customers, influencers, and conference audiences. Build and maintain relationships with industry analysts and influencers to enhance our market position. Market Intelligence and Analysis - Conduct thorough market research to gain insights into customer needs, market trends, and competitive landscape. Analyze campaign effectiveness and provide data-driven recommendations to improve marketing performance and product positioning. Your Qualifications 10+ years of product marketing experience, with at least three years in a leadership role in the cybersecurity industry. Deep understanding of MDR solutions and related technologies (SIEM, SOAR, security operations). Proven track record in developing and executing successful marketing strategies for complex technical solutions, preferably involving advanced technologies (Data Lake, AI/ML, Big Data, SaaS, and Cloud). Exceptional storytelling abilities and strong public speaking skills, with experience presenting to diverse audiences. Demonstrated ability to work effectively with cross-functional teams, including product management, sales, and technical teams, and drive data-driven decisionmaking. Experience in competitive analysis, market positioning, and using marketing analytics tools. Experience working in a global company with distributed teams is a plus. Ability to adapt quickly in a fast-paced, evolving industry. Future Growth Opportunity While initially an individual contributor role, this position has strong potential to evolve into a key leadership role as our team expands. The ideal candidate will demonstrate the ability to mentor and guide team members, shaping our product marketing organization. Competitive salary and comprehensive benefits package. Opportunity to work with innovative technologies in a rapidly growing industry. A collaborative and inclusive work environment that values diversity of thought. Significant professional development and career growth opportunities. Chance to make a real impact in the cybersecurity space. At Netenrich, you'll shape the future of cybersecurity marketing and grow into a leadership role. If you're a strategic thinker with a passion for technology, a track record of marketing success, and the ambition to lead and innovate in cybersecurity, we want to hear from you! Qualification : 10+ years of product marketing experience, with at least three years in a leadership role in the cybersecurity industry.

Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

About the Role: The Data Quality Measurement Team plays a pivotal role in ensuring the integrity, timeliness, and reliability of data used by various business units. The primary goal is to uphold high standards for data quality, ensuring that data is sufficiently accurate, reliable, and timely, in alignment with business or regulatory standards. The team is composed of highly skilled professionals who possess an in-depth understanding of business operations and strive to provide exceptional client experiences, while mitigating legal and regulatory risks for the organization. Key Responsibilities & Impact: Stakeholder Engagement: Collaborate with stakeholders to define requirements and usage needs for measuring data quality in a specific region or business unit. Data Quality Ownership: Take ownership of ongoing data quality measurement activities, focusing on specific regions or business areas to ensure high-quality data standards. Issue Identification & Remediation: Detect data quality issues, perform root cause analysis, and escalate issues for remediation to ensure data meets high-quality standards. Testing & Data Audits: Conduct testing on defined use cases for new technology and vendors. Deliver results and identify sources of errors in the data. Root Cause Analysis: Perform root cause analysis on smaller, self-contained data analysis tasks, often related to assigned or unfamiliar projects. Regulatory Compliance: Ensure compliance with regulatory requirements through data quality processes, particularly within the S&P Ratings division. Data Querying & Correction: Utilize data queries to identify and correct data inconsistencies, ensuring the accuracy and reliability of data. Functional and Business Knowledge: Data Development Lifecycle: Apply foundational knowledge of the data development lifecycle, tools, and theories to complete assignments efficiently. Business Understanding: Possess a basic understanding of business operations and data quality objectives within the team. Problem Solving: Data Issue Resolution: Identify and solve problems within the data domain, using analytical skills to propose clean, objective solutions. Technical Requirements Translation: Ability to analyze complex business problems and translate them into objective technical requirements with minimal business interaction. Passion for Innovation: Demonstrate a passion for problem-solving and the exploration of new technologies to improve data quality processes. Interactions: Internal Collaboration: Primarily work within the team but may also engage with related teams and stakeholders in the data domain to understand processes and procedures. Communication: Regularly communicate data quality updates within the team and to other relevant stakeholders. Typical Scope & Impact: Team Contribution: Contribute to the achievement of personal and team objectives, ensuring that data quality standards are met across the organization. Education & Experience Requirements: Minimum Qualifications: Bachelor s degree or equivalent experience required. 3-4 years of experience in a data operations role. Experience in data quality roles is a plus. Preferred Qualifications: Technical Skills: Experience with data visualization and analysis tools such as Advanced Excel, SQL, Oracle databases, Power BI, ETL, Python. Industry Knowledge: General understanding of financial and market data flows. Skills & Capabilities: Strong attention to detail and the ability to meet deadlines. Ability to effectively collaborate within a large, global team. Strong written and verbal communication skills. Analytical problem-solving skills with a willingness to ask questions and escalate unresolved concerns. Capable of holding others accountable for delivering key actions. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that offer clarity and critical insights. Our high-quality credit assessments enable market participants to make confident decisions, uncover opportunities, and navigate complex economic landscapes. As part of S&P Global, we help organizations worldwide manage risk, plan for the future, and make data-driven decisions in the capital, commodity, and automotive markets. Qualification : Bachelors degree or equivalent experience required.

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)

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.

Job title: Data Scientist Location : IN / Hyderabad About the job An exciting opportunity to join our risk-based monitoring team. Risk-based monitoring (RBM) is an adaptive approach to clinical trial monitoring that directs focus and activities to critical data and processes that have the most potential to impact patient safety and data quality. In this context, the RBM team is responsible for designing, executing, and optimizing the Sanofi RBM approach to align with regulatory requirements and Sanofi's objective to drive quality, efficiency, and speed of clinical trials. The D ata Scientist (DS) is responsible for setting up and refreshing the RBM application for assigned studies, ensuring a seamless data flow, and configuring the system to meet RBM specifications and industry standards. You will work closely with Central Monitors and study Lead DS together to delivery RBM activities. If you are passionate about leveraging data to drive excellence in clinical trials, this is the opportunity for you. Main responsibilities: Data Extraction and Processing:Extract data from various systems and ensure it is preprocessed correctly, supporting the accuracy and reliability of our monitoring processes.. Dashboard Management:You will be in charge of setting up and updating KRI, DQA, QTL, and SPOT dashboards with precision and within the set timelines, adhering to established processes and standards. Script Execution and Updates:Execute SAS or Python scripts, updating parameters as required to meet the specific needs of each study. Collaborative Problem Solving:Provide a clear explanation of results and signals, working closely with Central Monitors and Lead Data Scientists to deliver effective RBM activities. About you Experience: Experience in a Clinical Research environment (CRO or Pharma). Experience in clinical data programming (SAS, Python, R, ) Soft and technical skills: Learns and adapts quickly when facing new problems. Think critically and use rigorous, objective, and pragmatic methods to solve multidimensional problems with effective and timely solutions. Good at SAS programming skills, it s better be able to develop from scratch. Execute Python script with updating parameters based on studies. Understand clinical trial-related documents with basic clinical knowledge, e.g., Protocol, SDS, CRF. Good interpersonal, communication, and negotiation skills (verbal and written). Able to acquire and apply new technical skills. Education: Bachelor s degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences) Languages: Strong English skills (verbal and written), ability to exchange fluently in a global environment. Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks gender-neutral parental leave. An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team A team that drives the innovation of the monitoring activities that align with future need W e believe that a Data Scientist is not just a job title; it's a role that embodies innovation, curiosity, and the power to transform data into actionable insights. You are the architects of our data-driven future, equipped with the latest technologies and a supportive environment that fosters growth and collaboration. Qualification : Bachelors degree or above, preferably in a life science or mathematics-related area (e.g., computer sciences)

Director UI/UX Design (User Experience Leadership) | Salesforce Hyderabad, India Full-Time | Design & User Experience | India Hyderabad Lead the Future of Enterprise Design at Salesforce We re looking for a seasoned design executive and product strategist to lead high-impact design teams focused on building intuitive, intelligent, and engaging user experiences. You will drive the evolution of our next-generation AI-driven CRM and experience platform, redefining how users engage with data, automation, and digital workflows. What You ll Be Doing Lead and inspire a team of top-tier designers across multiple products and platforms Recruit, mentor, and retain world-class UI/UX talent Drive the strategic vision for user-centered design across the Salesforce digital experience platform Partner with cross-functional stakeholders in Product, Engineering, and Research to build high-impact user experiences Deliver cutting-edge AI-powered, agentic interfaces that use contextual data, smart assistance, and natural interactions to simplify workflows Champion design thinking and a systems-level approach to solving complex enterprise UX challenges Own the design execution from ideation to launch ensuring consistency, usability, and excellence at every touchpoint Utilize analytics, user research, and feedback to continually iterate and enhance product design Promote and enforce Salesforce Lightning Design System (SLDS) standards and reusable design patterns Key Qualifications 10+ years of experience designing innovative, user-focused digital products in high-performance environments 3+ years in a senior leadership or people management role within UI/UX or product design teams Proven success leading the full product lifecycle from concept and prototyping to final delivery Deep expertise in user-centered design methodologies, UX research, and interaction design Experience leading large-scale digital transformations in enterprise or SaaS environments Strong communication and influencing skills to align design vision across global stakeholders Comfortable working in agile, fast-paced, and collaborative environments Mastery of industry-standard tools like Sketch, Figma, Photoshop, Illustrator A passion for simple, elegant solutions to complex user problems Degree in Design, HCI, or a related field (or equivalent practical experience) Preferred Experience (Nice to Have) Expertise in design systems and UI frameworks Background in CRM, enterprise software, or complex data-driven platforms Familiarity with accessibility standards, responsive design, and mobile-first design principles At Salesforce, design is at the heart of everything we do. From shaping intelligent interfaces to creating cohesive multi-platform experiences, we empower designers to lead innovation. You ll be part of a global team working on products that help millions of users work smarter, connect deeper, and transform industries. We re proud to be consistently ranked among the Best Places to Work, offering a diverse, inclusive, and purpose-driven culture where designers thrive and grow. Apply now to join a team shaping the next era of enterprise user experience. Let s build what s next together. Qualification : Degree in Design, HCI, or a related field (or equivalent practical experience)

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.