Data Scientist - India

### You’re a great fit if you : - Have a strong background in

• data science, machine learning, or applied statistics
• . - Are proficient in
• Python, SQL
• , and familiar with libraries such as
• Pandas, NumPy, Scikit-learn, and PyTorch / TensorFlow
• . - Understand
• probabilistic modeling, statistical inference, and experimentation frameworks (A / B testing, causal inference)
• . - Can
• collect, clean, and transform complex datasets
• into structured formats ready for modeling and analysis. - Have experience designing and evaluating
• predictive models
• , using metrics like precision, recall, F1-score, and ROC-AUC. - Are comfortable working with
• large-scale data systems
• (Snowflake, BigQuery, or similar). - Are curious about
• AI agents
• , and how data can shape the reasoning, adaptability, and behavior of intelligent systems. - Enjoy
• collaborating with cross-functional teams
• — from engineers to research scientists — to define meaningful KPIs and experiment setups. ### Primary Goal of This Role To design and implement robust data models, pipelines, and metrics that support experimentation, benchmarking, and continuous learning for agentic AI systems. The role focuses on building data-driven insights into how agents reason, perform, and improve over time across algorithmic and real-world tasks. ### What You’ll Do - Develop
• data collection and preprocessing pipelines
• for structured and unstructured data from multiple agent simulations. - Build and iterate on
• machine learning models
• for performance prediction, behavior clustering, and outcome optimization. - Design and maintain
• dashboards and visualization tools
• for monitoring agent performance, benchmarks, and trends. - Conduct
• statistical analyses
• to evaluate the efficacy of AI systems under various environments and constraints. - Collaborate with engineers to design
• evaluation frameworks
• that measure reasoning quality, adaptability, and efficiency. - Prototype
• data-driven tools and feedback loops
• to automatically improve model accuracy and agent behavior over time. - Work closely with AI research teams to
• translate experimental results
• into scalable, production-grade insights. ### Why This Role Is Exciting - Work at the forefront of
• AI agent intelligence
• and help define how data shapes their evolution. - Blend
• machine learning, experimentation, and data engineering
• in one role. - Collaborate with top-tier AI engineers on
• new agent benchmarks and feedback mechanisms
• . - Contribute to a mission that merges
• algorithmic reasoning, real-world performance, and human-like decision-making
• . ### Pay & Work Structure - You’ll be classified as an
• hourly contractor
• to Mercor. -
• Paid weekly
• via Stripe Connect, based on hours logged. -
• Part-time (20 hrs - 40 hrs / week)
• with fully remote, async flexibility — work from anywhere, on your own schedule. - Weekly bonus of $500 - $1000 USD per 5 task created.