- Title:
Data Scientist (Remote)
- Rate:
USD $14 /hour
- Engagement:
Hourly contract (independent contractor)
- Location:
Remote – candidates based in the United States, United Kingdom, Canada, Europe, Singapore, Dubai, or Australia who are legally able to work as independent contractors in their jurisdiction.
Role Overview
One of our clients is hiring a Data Scientist to support an advanced AI research partner focused on building intelligent, agent-based systems. In this role, you will design and maintain data pipelines, analytical models, and evaluation frameworks that power experimentation, benchmarking, and continuous learning for autonomous AI agents. This is an excellent opportunity for analytical professionals who thrive at the intersection of machine learning, data engineering, and real-world AI applications.
Primary Objective
To build data-driven infrastructure, models, and metrics that enable AI agents to be measured, optimized, and improved across simulated and real-world environments.
Key Responsibilities
- Develop and maintain data pipelines for structured and unstructured data from AI agent simulations
- Build and refine machine learning models for performance prediction, behavior clustering, and outcome optimization
- Design dashboards and visualization tools to monitor benchmarks, trends, and agent performance
- Conduct statistical and experimental analyses to evaluate AI system effectiveness
- Define and implement performance metrics such as precision, recall, F1-score, and ROC-AUC
- Collaborate with engineering and research teams to design KPIs, experiments, and evaluation frameworks
- Create feedback loops that use data to improve agent accuracy, adaptability, and efficiency
- Translate experimental results into scalable, production-ready insights
Required Qualifications
- Strong background in data science, machine learning, or applied statistics
- Proficiency in
Python
and
SQL
- Experience with
Pandas, NumPy, Scikit-learn
, and
PyTorch or TensorFlow
- Solid understanding of probabilistic modeling, statistical inference, and experimentation methods (A/B testing, causal inference)
- Experience collecting, cleaning, and transforming large, complex datasets
- Familiarity with large-scale data platforms such as
Snowflake
,
BigQuery
, or similar systems
- Ability to collaborate effectively with cross-functional teams
Why This Role Is Exciting
- Work at the forefront of AI agent intelligence and data-driven decision-making
- Combine machine learning, experimentation, and data engineering in one impactful role
- Collaborate with top-tier AI researchers on advanced benchmarking and feedback systems
- Help shape how intelligent systems learn, adapt, and improve over time
Contract & Payment Terms
- Independent contractor role
- Fully remote with a flexible schedule
- Weekly payments via Stripe or Wise
- Projects may be extended or adjusted based on performance and project needs
- Open only to candidates residing in India
APPLY NOW !