AI Data Scientist - Machine Learning & Agent-Based Systems

Nova Kore

You will shape the future of intelligent agent systems through advanced data science and machine learning.

Compensation:

USD 14/hour

Location:

Remote: India

Mission of Nova Kore:

"Connecting people and companies to create meaningful, transformative career and business opportunities."

What makes you a strong candidate:

• You are proficient in Statistical modeling, SQL, Python, Machine learning, Data science.
• English - Conversational

Responsibilities and more:

Data scientist - India

The company is hiring a data scientist to support the development of advanced analytics and data-driven infrastructure for an AI lab partner focused on intelligent agent-based systems. This role is suited for analytical professionals who excel at transforming large-scale data into actionable insights and enjoy working at the intersection of machine learning, experimentation, and real-world applications. The position involves designing data pipelines, statistical models, and performance metrics that contribute to the evolution of autonomous systems.

The ideal candidate has a strong background in data science, machine learning, or applied statistics, and is proficient in Python and SQL, with experience using libraries such as Pandas, NumPy, Scikit-learn, and PyTorch or TensorFlow. The role requires an understanding of probabilistic modeling, statistical inference, and experimentation frameworks, including A/B testing and causal inference. Experience in collecting, cleaning, and transforming complex datasets into structured formats for modeling and analysis is essential.

Primary goal of the role

* Design and implement robust data models, pipelines, and metrics that support experimentation, benchmarking, and continuous learning for agentic AI systems.

Key responsibilities

* 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 to monitor agent performance, benchmarks, and trends.

* Conduct statistical analyses to evaluate AI system performance across different environments and constraints.

* Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency.

* Prototype data-driven feedback loops to improve model accuracy and agent behavior over time.

* Work closely with AI research teams to translate experimental results into scalable, production-grade insights.

Work structure and compensation

* Hourly contractor role.

* Weekly payment via Stripe Connect based on hours logged.

* Part-time commitment of 20 to 40 hours per week.

* Fully remote and asynchronous schedule with flexible working hours.

* Weekly bonus ranging from $500 to $1,000 USD per five tasks created.