Data Scientist / ML Engineer

• Design and maintain real-time data pipelines across health, product, and commerce domains.
• Develop knowledge graphs integrating biological, demographic, and behavioral data.
• Leverage Bayesian models, causal inference, and predictive techniques to drive insights.
• Translate research into scalable APIs, dashboards, and services.
• Collaborate across multidisciplinary teams to advance projects in health tech, agriculture, and packaging.
• Optimize supply chain and agricultural data for sustainability impact.
• Automate research workflows and contribute to publishable data science output.

• Proven experience delivering large-scale ML or data systems end-to-end.
• Proficiency in Python, SQL, PyTorch/TensorFlow, stream processing, orchestration tools, and graph databases.
• Deep understanding of Bayesian statistics, causal modeling, and probabilistic programming.
• Strong engineering practices: version control, testing, CI/CD, etc.
• Excellent communication and ability to simplify complex concepts for stakeholders., * Familiarity with health, biomedical, or consumer data.
• Experience in Graph ML, contextual bandits, or RL-based personalization.
• Exposure to mobile analytics or App Store/Play Store optimization.
• Background in hardware, IoT, or field deployments.
• Skills in literature mining, marketing science, or uplift modeling.

What You'll Gain

• Purpose-Driven Work: Contribute to health, environmental, and wellness initiatives with real-world impact.
• Cutting-Edge Environment: Work at the intersection of AI, health science, and product development.
• End-to-End Ownership: Influence the entire product lifecycle-from research to deployment.
• Global Reach: Collaborate with teams across India, the U.S., and international programs serving millions.

This is a remote position.