About the job
Position : Data Scientist — India Type : Hourly Contract Compensation : $14 / hour Location : India (In ... dia-based applicants only) Commitment : Part-time (20–40 hrs / week) Primary Objective Design and implement data models, pipelines, and metrics that support experimentation, benchmarking, and continuous learning for agentic AI systems. The role focuses on generating data-driven insights into how agents reason, adapt, and improve across algorithmic and real-world tasks. Role Responsibilities • Develop data collection and preprocessing pipelines for structured and unstructured data arising from agent simulations • Build and iterate predictive and behavioral ML models to assess agent performance, clustering, and optimization outcomes • Conduct statistical analyses (A / B testing, causal inference, regression modeling) to evaluate model behavior under varied constraints • Design dashboards, visualizations, and monitoring tools to track benchmarks and trends • Define evaluation frameworks for agent reasoning, adaptability, and efficiency • Partner with engineers and research scientists to align KPIs, experiment design, and performance measurement • Prototype tools and feedback loops to automatically refine model accuracy and agent behavior over time Qualifications Must-Have • Strong background in data science, machine learning, or applied statistics • Proficiency in Python and SQL • Experience with data and ML libraries (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow) • Understanding of probabilistic modeling, statistical inference, and experimentation frameworks • Ability to collect, clean, and transform complex datasets • Experience evaluating predictive models using metrics such as precision, recall, F1-score, and ROC-AUC • Familiarity with large-scale data systems (Snowflake, BigQuery, etc.) • Strong written and verbal communication skills • Residency in India (required) Why This Role Stands Out • Work directly with next-generation intelligent agent systems • Blend machine learning, experimentation, and data engineering in a single role • Contribute to new agent benchmarks, performance evaluation, and feedback mechanisms • Influence how data shapes agent behavior, reasoning, and adaptability Compensation & Work Structure • Part-time contract ( 20–40 hours / week ) • Weekly performance bonus : $500–$1000 USD per 5 tasks created • Hourly rate : $14 / hour Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form
Requirements
- data science
- machine learning
- applied statistics
- Python
- SQL
- Pandas
- NumPy
- Scikit-learn
- PyTorch
- TensorFlow
- probabilistic modeling
- statistical inference
- A / B testing
- causal inference
- regression modeling
Qualifications
- Strong background in data science
- Proficiency in Python and SQL
- Experience with data and ML libraries
- Understanding of probabilistic modeling
- Strong written and verbal communication skills
- Residency in India
Preferred Technologies
- data science
- machine learning
- applied statistics
- Python
- SQL
- Pandas
- NumPy
- Scikit-learn
- PyTorch
- TensorFlow
- probabilistic modeling
- statistical inference
- A / B testing
- causal inference
- regression modeling
Benefits
- Weekly performance bonus
- Part-time contract availability
About the company
An AI-focused talent platform partners with leading research labs to match specialized technical talent with cutting-edge autonomous systems projects. The organization supports work building intelligent agent-based systems designed for real-world adaptability, reasoning, and experimentation.
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