Senior Data Scientist

We’re hiring a Research Data Scientist to join us at an exciting early stage. You’ll play a central role in helping us turn messy, real-world industry data into AI-driven insights and products. The role is a mix of data exploration, applied ML, and experimentation with LLMs. You’ll be designing and running experiments, proving what works, and collaborating closely with engineers to turn research into production-ready systems.

What you will do:

• Wrangle large, messy datasets from legacy systems and real-world processes into structured, usable formats
• Design, run, and evaluate experiments with rigorous statistical methods to validate hypotheses and measure business impact
• Build and prototype ML models for forecasting, optimization, and recommendation across domains like sales, inventory, and operations
• Explore and fine-tune large language models (LLMs) for practical use cases in industry workflows
• Collaborate with engineers to take promising research into production
• Contribute to a culture of experimentation

What we look for:

• Scientific mindset (Master/PhD in math/science)
• Rigorous about experimentation and statistical reasoning
• 4+ years of hands-on experience in data science/ML/applied research or a PhD plus 2+ years
• Comfortable designing and running experiments with proper baselines, controls, and statistical evaluation
• Excited to explore and apply LLMs
• Thrive in a dynamic, iterative environment
• No industry knowledge required

Technical skillset – Must:

• Python
• common data science/ML libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch, Hugging Face)
• experiment design
• evaluation metrics

Nice to have:

• LLM fine-tuning
• prompt engineering
• SQL/PostgreSQL

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