4,265 data research jobs in India.

... planning and forecasting Deep expertise in data science technologies, including statistical programming languages (Python, R), advanced statistical techniques, and data manipulation tools. Proven experience in yield or pricing optimization within large online marketplaces, such as research, insurance, online travel, programmatic ...

... & Experience Bachelor's, Master's, or Ph.D. in a highly quantitative field (Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research). Experience: 4 to 6 years of industry experience working as a Data Scientist or Machine Learning Engineer with a portfolio of complex multimodal projects. ...

... our project delivery process so that your learning never ends with us. Data Center Analyst responsibilities: • Develop and maintain deep expertise across the data center, power, and electrical infrastructure ecosystem. • Conduct primary research: expert interviews, vendor and customer diligence, ecosystem mapping, and synthesis ...

Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...

Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...

... branches Update hours of operation across local campaigns Refresh seasonal messaging (quarterly service pushes, peak season adjustments) Conversion Tracking & Data QA (30-45 minutes/week) Upload offline conversions (phone call outcomes, completed jobs) Flag any discrepancies between Google Ads and CRM data Prepare weekly ...

... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...

... Good knowledge of synthetic organic chemistry techniques. Basic understanding of analytical techniques (TLC, HPLC, GC, NMR, IR). Strong attention to detail and data integrity. Opportunity to work in an innovative and fast-paced R&D environment. Exposure to diverse chemistry projects in the pharmaceutical domain. Mentorship ...

... Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach. As a Data Scientist at Avahi, you'll work very closely with a senior member of our research team on cutting-edge Applied AI, infrastructure, and tooling towards the goal ...

... You’ll Do - Develop complex, authentic research evaluation tasks within the life sciences, including experimental design critique, protocol analysis, and primary data interpretation. - Source and synthesize research materials such as raw experimental data, laboratory protocols, technical literature, and supplementary documents. ...

... You’ll Do - Develop complex, authentic research evaluation tasks within the life sciences, including experimental design critique, protocol analysis, and primary data interpretation. - Source and synthesize research materials such as raw experimental data, laboratory protocols, technical literature, and supplementary documents. ...

... Experience/Education Requires a Bachelor's degree in computer science or other related field plus 10+ years of hands-on experience in configuring and managing AWS/tableau and databricks solutions Experience with Databricks and tableau environment is desired research of various sources such as databricks/AWS/tableau documentation that may ...

... workflows using AWS data services and distributed-computing technologies. Create fit-for-purpose analytical tools, prototypes and visualizations that help product, research and data-science stakeholders make informed decisions. AI Workflow Automation Identify high-value opportunities to automate repetitive data and research workflows ...

Detail-oriented Clinical Research Coordinator (CRC) with 3+ years of experience supporting Phase I-IV clinical trials across Oncology, Cardiovascular, Infectious Disease, and Pharmaceutical therapeutic areas. Proficient in ICH-GCP E6(R2/R3) guidelines, IRB submissions, eConsent, and regulatory document management. Skilled ...

... continuity plans for critical components and finished lubricants About You Skills and Qualifications Bachelor's degree in Engineering, Supply Chain, or Operations Research (or related fields such as Applied Mathematics/Statistics) • 5+ years relevant work experience in supply chain network or supplier management • Experience supporting ...

Looking someone who can join us Immediate - 60 days. Provide investment research support to investment banks, hedge funds, and other financial institutions. Conduct in-depth secondary research and offer deep insights on the sector or companies under coverage Prepare detailed research reports, investment summaries, and presentations ...

... insights. Proficiency in statistical programming languages. · Data Visualization: Create advanced data visualizations to communicate findings effectively. Big Data Technologies: Utilize Big Data technologies and platforms such as to handle and analyze large volumes of data. · Conduct research to develop and refine data science ...

... the GDS Data Protection program. Your key responsibilities The Supervising Associate within GDS Data Protection team will assist in driving aspects of the GDS Data Protection program in collaboration with GDS Global Data Privacy Leader. Responsibilities include assisting with: providing advice and interpretation of data ...

... quality and reliability.- Reinforcement Learning : Develop and implement RL/RLHF and preference-optimization approaches such as PPO, DPO, or similar techniques.- Research & Experimentation : Conduct structured experiments across models, datasets, architectures, and training approaches while maintaining reproducible experiment ...

... a direct line of sight from your work to operational impact. If you want your research to leave the lab and genuinely matter, we'd love to meet you. As our Research Engineer, you will sit at the boundary between frontier machine-learning research and shipped product. You will take ideas from the research edge, reinforcement ...