Data Scientist - LLM

YO HR Consultancy; India; Remote; INR 1,742,000 - 3,483,000; Part time

Benefits offered by this job

Weekly payments

Flexible working hours

Remote work

Job summary

A leading consultancy firm is looking for a Data Scientist specializing in LLM to develop data pipelines, build machine learning models, and evaluate AI systems. The role combines data science with machine learning and experimentation, perfect for those who enjoy collaboration and creating data-driven insights. This part-time position offers flexible working hours and competitive weekly bonuses based on task completion. Ideal candidates have a solid technical background in data science and a passion for AI.

Qualifications

• Strong background in data science, machine learning, or applied statistics.
• Proficient in Python, SQL, and familiar with libraries such as Pandas, NumPy, and Scikit-learn.
• Understanding of probabilistic modeling, statistical inference, and experimentation frameworks.
• Able to collect, clean, and transform complex datasets.
• Experience designing and evaluating predictive models with metrics like precision and recall.
• Comfortable working with large-scale data systems like Snowflake or BigQuery.
• Curiosity about AI agents and how data shapes them.
• Enjoy collaborating with cross-functional teams.

Responsibilities

• Develop data collection and preprocessing pipelines for multiple agent simulations.
• Build machine learning models for performance prediction and behavior clustering.
• Design dashboards for monitoring agent performance and trends.
• Conduct statistical analyses to evaluate AI systems' efficacy.
• Collaborate with engineers on evaluation frameworks.
• Prototype data-driven tools and feedback loops.
• Work with AI research teams to translate experimental results into insights.

Skills

Data science

Machine learning

Applied statistics

Python

SQL

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Probabilistic modeling

Statistical inference

Experimentation frameworks

Large-scale data systems

AI agents

Tools

Pandas

NumPy

Scikit-learn

PyTorch/TensorFlow

Job description

Data Scientist – LLM

Join to apply for the Data Scientist - LLM role at YO HR Consultancy. This role is ideal for analytical thinkers who excel at turning large-scale data into actionable insights and enjoy working at the intersection of machine learning, experimentation, and real-world applications. You’ll be designing data pipelines, statistical models, and performance metrics that drive the next generation of autonomous systems.

Qualifications

• 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, 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
• 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.

Seniority level

Mid-Senior level

Employment type

Part-time

Job function

Information Technology

Industries

Software Development

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