Data Science Jobs in Hyderabad

Position Title: Research Analyst Inside Sales Location: Hyderabad (On-site) Department: Inside Sales Experience Required: 1 3 Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is hiring a Research Analyst to support our Inside Sales team with high-impact lead research and data analysis. This role is ideal for analytical professionals who enjoy identifying market trends, building quality prospect lists, and enabling data-driven sales decisions using modern research tools and CRM systems. Roles and Responsibilities: Design and execute research methodologies to support sales prospecting and lead generation strategies. Conduct company and contact research using platforms like LinkedIn Sales Navigator and ZoomInfo. Use CRM tools (such as HubSpot or Salesforce) to manage and track leads, campaigns, and pipeline data. Analyze large datasets in Microsoft Excel, using VLOOKUP, pivot tables, and filters to extract actionable insights. Prepare and deliver clear and engaging research reports and dashboards for internal stakeholders. Collaborate with inside sales, marketing, and business development teams to support outreach and campaign planning. Monitor industry trends, key business signals, and decision-makers across target accounts. Ensure adherence to data privacy regulations (e.g., GDPR) and maintain high standards of confidentiality. Skills and Experience: 1 3 years of experience in a research, sales support, or data analysis role, preferably in a B2B or IT services environment. Hands-on experience with LinkedIn Sales Navigator and ZoomInfo for lead generation. Working knowledge of CRM systems such as HubSpot, Salesforce, or similar platforms. Strong Excel skills must be comfortable with pivot tables, VLOOKUP, conditional formatting, and large dataset handling. Excellent written and verbal communication skills, with the ability to convey analytical findings clearly. A curious mindset with strong attention to detail and a commitment to data accuracy. Ability to work independently and as part of a cross-functional team. Preferred Qualifications: Bachelor s degree in Business, Marketing, Data Science, or a related field. Familiarity with sales performance metrics and lead scoring techniques. Basic understanding of email marketing or sales outreach automation tools is a plus. Be part of a fast-growing organization at the intersection of data, technology, and strategy. Learn from and collaborate with seasoned sales, marketing, and analytics professionals. Work in a culture that values curiosity, ownership, and continuous learning. Gain exposure to the latest tools and techniques in sales enablement and data-driven decision-making.

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.

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.

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.

Snowflake Architect Location: Hyderabad, Telangana Work Type: On-site, Full-time Company: Blend About Blend: Blend is a premier AI services provider dedicated to driving innovation and value through data science, AI, and technology. Our mission is to co-create meaningful impact by combining human expertise with advanced AI-driven strategies. Job Summary: We are seeking an experienced Snowflake Architect to lead our data engineering efforts by designing scalable Snowflake architectures, optimizing data pipelines, and managing a high-performing team. This role requires a strategic thinker and hands-on leader to deliver secure, reliable, and efficient data solutions. Key Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines supporting business intelligence and advanced analytics. Lead and mentor a team of data engineers, ensuring timely delivery of high-quality projects. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance tuning, and ETL workflows. Optimize Snowflake environments for low latency, high availability, and cost efficiency. Drive continuous process improvements and evaluate emerging tools and technologies. Ensure data accuracy, completeness, and security, complying with data privacy regulations like GDPR and CCPA. Partner with cloud engineering and DevOps teams to integrate Snowflake solutions within AWS infrastructure. Participate in capacity planning, budgeting, and resource allocation for data engineering functions. Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (Master s preferred). 9+ years of cloud-based data engineering experience, with at least 4 years of hands-on Snowflake expertise. Proven track record in designing, deploying, and managing large-scale Snowflake data platforms. Expertise with AWS services including S3, Redshift, Lambda, Glue, etc. Strong proficiency in SQL, Python, and other data manipulation languages. Experience managing and mentoring engineering teams and leading cross-functional projects. Solid understanding of data governance, security, and compliance frameworks (GDPR, CCPA). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Snowflake certification(s). Experience with other cloud data warehouses such as AWS Redshift or Google BigQuery. Familiarity with Agile methodologies, CI/CD pipelines, Git, Jira, and modern development practices. Apply now to join Blend and help shape the future of data-driven innovation! Qualification : Bachelors degree in Computer Science, Information Technology, or related field (Masters preferred).

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 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.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Lead UI Developer | ThoughtWorks | Hyderabad, India Location: Hyderabad, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we are a leading global technology consultancy committed to transforming the world with digital innovation. For over 30 years, we have delivered extraordinary impact to our clients by tackling complex business challenges and creating cutting-edge technology solutions. Our diverse, inclusive teams continuously push boundaries and innovate across industries. Join us to work on impactful projects, learn from brilliant minds, and accelerate your career in a culture that values curiosity, growth, and collaboration. Job Overview Key Responsibilities Champion Best Practices: Advocate for best practices like TDD (Test-Driven Development), pair programming, design patterns, and continuous delivery to ensure high-quality software delivery and early value realization for end customers. End-to-End Software Delivery: Oversee or participate in the complete cycle of software consulting and delivery from ideation through to post-production evolution ensuring that business goals are met with technical excellence. Solution Design & Technology Selection: Design solutions that address clients unique challenges, balancing technical constraints and strategic goals. Choose the best technologies to create scalable, modular UI systems. UI System Development: Build user interfaces that are not only functional but also delightful, accessible, and mobile-first. Develop using the latest HTML, CSS, and JavaScript standards. Collaboration & Innovation: Work closely with teams to create features, design concepts, and interactive prototypes. Incorporate UX specifications and ensure best practices are embedded at every stage. Hands-On Development: Continue coding alongside developers to maintain technical depth. Lead by example and contribute directly to building high-quality solutions. DevSecOps & Continuous Delivery: Champion the use of DevSecOps practices, advocating for security and integrating continuous delivery pipelines to ensure rapid and secure software deployment. Client & Team Leadership: Own and drive client relationships, translating their vision into actionable technical solutions. Mentor team members, fostering a culture of growth, feedback, and accountability. Stay on Top of New Technologies: Continuously evaluate emerging technologies and incorporate the latest Technology Radar trends into your solutions. Job Qualifications Technical Skills: Experience: 9-15 years of hands-on experience in UI development, with expertise in JavaScript, Typescript, and Angular (latest version). Frontend Architecture Expertise: Deep understanding of modern UI concepts such as design systems, atomic design, micro frontends, progressive web apps, and backend for frontends (BFF). Responsive & Mobile-First Development: Proven ability to build responsive, mobile-first experiences with complex CSS layouts and best practices. Microfrontend Architecture: Extensive experience designing and implementing microfrontend architecture, with a strong understanding of its principles and benefits. Cross-Browser Compatibility: Skilled in resolving cross-browser and cross-platform compatibility issues and using appropriate workarounds. Development Tools: Proficient in TypeScript, familiar with JavaScript build tools, and comfortable using CI/CD tools and TDD approaches. Web Standards & Accessibility: Strong knowledge of web accessibility standards and the latest web technologies (HTTP, multi-tiered web architectures). Professional Skills: Leadership & Mentorship: Act as a mentor to junior team members, fostering growth through technical expertise and a commitment to delivering extraordinary results. Client-Facing: Ability to develop and execute a technical vision aligned with business value, and serve as a trusted partner to clients. Resilience in Ambiguity: Comfortable with ambiguity and able to approach challenges from multiple perspectives, finding innovative solutions. Influence & Advocacy: Advocate for technical excellence and champion best practices while being open to change and evolving client needs. Learning & Development: ThoughtWorks is committed to supporting your growth. You ll have access to interactive tools, a variety of development programs, and teammates eager to help you grow professionally. Career Growth: There s no one-size-fits-all career path at ThoughtWorks. We balance autonomy with support, ensuring your career evolves as per your personal ambitions. Onsite Work Expectation: You will be expected to work out of ThoughtWorks' office or at client locations for all five working days, depending on the project or business requirements. At ThoughtWorks, we are dedicated to delivering innovative solutions and transforming the way businesses engage with technology. By joining our team, you ll have the opportunity to learn, grow, and make an impact through your work. If you are passionate about building exceptional user experiences and working with cutting-edge technologies, we want you on our team!

Job Title: Senior Data Engineer Company Name: Zessta Job Type: Full-time Responsibilities: Analyze customer data to enhance customer experience and provide actionable insights. Build and maintain integrations to support advanced data science workflows, ensuring seamless interaction with the Product API. Actively participate in onboarding and training clients on how to use the product effectively. Provide insights into client-to-business interactions, ensuring that the data can be leveraged for strategic decisions. Act as a liaison between the client and the organization, ensuring both parties' needs and expectations are met. Identify opportunities for clients to expand their usage of the product, driving engagement and long-term value. Address customer complaints and requests, offering product support to improve overall satisfaction and experience. Skills and Experience: Excellent communication and interpersonal skills to work effectively with clients and internal teams. Strong understanding of data modeling and architecture. Hands-on experience with data integrations and data pipelining tools to connect systems and enable smooth data flow. Proficiency in programming languages, preferably Python or R, to process and analyze data. Experience with container orchestration platforms like Docker and Kubernetes. Familiarity with distributed computing frameworks such as Spark, Hadoop, and Dask to handle large-scale data processing. Experience with version control software such as Git to manage code and collaborate with teams. Knowledge of project management tools such as JIRA to track and manage project progress and tasks. Familiarity with tools like Figma and Mixpanel is a plus. Education and Experience: Bachelor s or Master s degree from premier institutes (preferred). 4-12 years of relevant experience in data engineering, data science, or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. The chance to work on cutting-edge technologies and impactful projects. If you have a passion for data engineering and improving customer experience, and you're ready to take on new challenges, we'd love to hear from you. Apply now to join our team at Zessta and contribute to driving innovation and business success! Qualification : Bachelors or Masters degree from premier institutes (preferred).

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.

About Us: Infor is a global leader in business cloud software, providing industry-specific solutions to customers worldwide. We help organizations manage digital transformation, leveraging cutting-edge technology to improve their operations. With a focus on industry suites, data science, and integration, Infor is trusted by over 60,000 organizations globally. We are seeking a Senior Database Administrator to join our dynamic team, where you will be responsible for the management and optimization of our database infrastructure, as well as implementing automation solutions on AWS. A Day in the Life of a Senior Database Administrator: Database Management and Maintenance: Oversee and maintain multiple databases, including PostgreSQL, Cassandra, MSSQL Server, and OpenEdge, ensuring their optimal performance, security, and reliability. Automation Strategy Implementation: Design and implement automation strategies to streamline database processes using AWS CLI, scripting languages (e.g., Shell, Python, PowerShell), and other tools, minimizing manual errors. Cloud Database Management (AWS): Deploy, manage, and monitor databases on Amazon Web Services (AWS), including services like Amazon RDS, Amazon Aurora, EC2, and S3 storage. Backup, Recovery, and High Availability: Develop and implement comprehensive data backup and recovery strategies, disaster recovery plans, and high availability solutions using AWS services. Performance Tuning & Optimization: Conduct performance tuning and optimization of database systems to ensure they can handle large datasets and support high-traffic applications. Security Implementation: Design and enforce security protocols to protect sensitive data, including firewalls, encryption, role-based access control, and ensure compliance with security standards on AWS and Azure. Collaboration & Guidance: Collaborate with development teams to integrate database systems into applications, and offer best practices on database design and implementation. Database Schema Management: Manage and implement database schema updates and version control. Monitoring & Reporting: Monitor database performance metrics and create reports to identify trends, potential issues, and suggest improvements. Mentorship: Mentor junior database administrators and provide guidance on day-to-day database operations. Technical Documentation: Write and document technical runbooks, processes, and procedures for consistent database administration. Database Maintenance & Patching: Perform monthly consolidated maintenance during office and after-office hours, including patching, updates, and upgrades on database resources. Required Skills: PostgreSQL Expertise: In-depth experience in managing and administering PostgreSQL databases, including performance tuning, backup and recovery, and security. MSSQL Server: Hands-on experience with MSSQL Server for daily database activities and performance management. AWS Cloud Services: Strong experience with AWS services like RDS, EC2, S3, IAM, and the AWS CLI for deploying, managing, and scaling databases in the cloud. Automation & Scripting: Proficiency with automation tools and scripting languages like Shell, PowerShell, and Python to automate tasks and processes. SQL Proficiency: Strong knowledge of SQL and the ability to write complex queries for performance tuning and debugging. Database Migration & Replication: Experience with database migration and replication processes. Database Architecture: Excellent understanding of database architecture and design principles for high-performance systems. Educational Requirements: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Communication & Collaboration: Strong communication skills to collaborate with cross-functional teams and guide junior staff. Preferred Qualifications: Automation Tools: Experience with Ansible, Puppet, or Chef for database automation. Other Databases: Familiarity with MSSQL Server, Cassandra, OpenEdge, and other database technologies. Compliance Knowledge: Understanding of government compliances like GDPR and HIPAA. Monitoring Tools: Knowledge of monitoring tools such as Monocle, Sumologic, Splunk, and CloudWatch. Industry-Leading Solutions: Work with a team that builds cutting-edge cloud solutions for diverse industries. Collaborative Environment: Join a team that encourages knowledge-sharing, innovation, and growth. Career Development: Continuous learning and career growth through mentorship and training. Competitive Compensation: Enjoy a comprehensive benefits package and competitive salary. If you are an experienced Database Administrator with a passion for AWS, PostgreSQL, and automation, apply today to be a part of Infor s global team driving digital transformation! Qualification : A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Job Description We are looking for a passionate engineer interested in working at an early-stage startup building innovative cloud-native data protection solutions. The ideal candidate must be comfortable learning and scoping business requirements to develop effective solutions. This is a great opportunity for engineers who are eager to step out of their comfort zone and solve impactful modern data security concerns. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience building products using Java and/or Python. Prior experience in startups is a huge plus. Comfortable with rapid prototyping and implementation of products in an agile team environment. Data engineering experience with implementation of data ingestion, ETL, data pipeline/workflows. Experience implementing database views and UDFs to control access to data using row and column filters. Working experience in databases and data warehouses. Proficient in one or more of the following: AWS RDS, AWS Data Lake, Redshift, Athena, Databricks, and Snowflake. Experience implementing data solutions using Spark. Ability to write and tune complex SQL queries.

Job Description Location: Hyderabad, Telangana, India Job Type: Permanent (full-time) Experience: 6+ years No. of Openings: 2 Key Responsibilities: Tech Stack Expertise: Proficiency in Python, Pyspark, and Databricks, utilizing these tools to develop robust data pipelines, perform data transformations, and optimize data workflows within the Supply Chain realm. Innovative Problem-Solving: Demonstrate technical expertise by thinking creatively and providing innovative solutions to complex data-related challenges, pushing boundaries in Supply Chain data analytics. Communication Skills: Exceptional communication abilities to effectively convey technical concepts, collaborate with cross-functional teams, and articulate solutions to non-technical stakeholders. Autonomous Work: Ability to work independently and proactively, taking ownership of projects, and delivering high-quality solutions with minimal supervision. Guidance and Best Practices: Lead the team by setting coding standards, advocating for reusable and modularized code, implementing design patterns, and guiding on best practices in data engineering. Perks and Benefits: Strong expertise in Python, Pyspark, and Databricks, with hands-on experience in developing and optimizing data pipelines for complex data transformations. Exceptional problem-solving skills, with a demonstrated ability to think creatively and develop innovative solutions for data-related issues. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Self-driven and autonomous work style, capable of taking ownership of projects and delivering high-quality results independently. Experience in guiding and mentoring teams on coding standards, design patterns, and best practices in data engineering.

Job Title: Senior Software Engineer Location: Hyderabad Experience: 4-7 Years Skills: Strong C#, VB.NET, RPA (UiPath, Automation Anywhere, or Blue Prism) Description & Requirements: Infor LN is an advanced Enterprise Resource Planning (ERP) software designed to meet the business needs of manufacturers, enabling quick and cost-effective integration across various supply chains. Position Overview: We are seeking a Senior Software Engineer with proficiency in .NET programming languages (C#, VB.NET) and experience with Robotic Process Automation (RPA) tools such as UiPath, Automation Anywhere, or Blue Prism. This position will be responsible for implementing, configuring, and deploying Infor's automation solutions while collaborating with various stakeholders to resolve technical challenges. Essential Duties: Implement, configure, and deploy Infor s automation solutions. Ensure best practices are followed to deliver high-quality solutions to customers. Design and develop customizations, integrations, and workflows using Infor OS platform. Collaborate with customers, stakeholders, and development teams to resolve technical issues. Provide timely specifications, estimates, and development for integration support. Offer technical guidance to Business Consultants and System Architects. Mentor less experienced colleagues and provide support to the Infor support team. Stay updated with new Infor technologies, automation, and cloud innovations. Contribute to the development of innovative automation use cases and POCs. Carry out coding in line with Infor standards. Basic Qualifications: Minimum of 4 years of experience in ERP solutions. Proven experience in leading technical or functional workstreams on complex projects. Experience working with global customers on large RPA projects. Strong understanding of ERP applications, business processes, and automation. Excellent communication and problem-solving skills. Ability to work independently and in collaboration with teams. Bachelor s or Master s degree in Computer Science or a related field. Preferred Qualifications: Prior experience in Infor Cloud Suites, Infor OS, RPA, or AI technologies. About Infor: Infor is a global leader in business cloud software products, offering complete industry suites that prioritize user experience, leverage data science, and integrate seamlessly into existing systems. Over 60,000 organizations worldwide rely on Infor to overcome market disruptions and drive business-wide digital transformation. For more information, visit www.infor.com. Our Values: At Infor, we focus on a business philosophy called Principle Based Management (PBM ), built on principles like integrity, transformation, respect, and self-actualization. We aim to reflect diversity in our workforce to represent the markets, customers, partners, and communities we serve. Equal Opportunity Employer: Infor is committed to creating a diverse and inclusive work environment. We do not discriminate against candidates or employees based on sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. Qualification : Bachelors or Masters degree in Computer Science or a related field.

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.

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!

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.

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