Role overview
As a Senior Data Scientist, you will work at the intersection of experimentation, advanced modeling, and production analytics. You will analyze complex datasets, design robust validation frameworks, and build scalable machine learning pipelines across a range of modalities.
This is an ideal opportunity for data scientists who thrive on competition-grade rigor and want to apply that mindset to real-world AI systems.
What you'll work on
- Analyze large and complex datasets to uncover patterns and modeling opportunities
- Develop predictive models across tabular, time-series, NLP, and multimodal datasets
- Design robust validation strategies and experimental frameworks
- Build reproducible data workflows and automated feature pipelines
- Conduct exploratory data analysis (EDA), hypothesis testing, and statistical investigations
- Collaborate with ML engineers to productionize models and ensure scalability
- Translate analytical findings into clear, structured recommendations
- Document methodologies and present insights through dashboards and reports
What we're looking for
- Contributions across multiple competitive ML tracks (notebooks, datasets, discussions, etc.)
- Experience in AI research labs, fintech, or ML-first product environments
- Knowledge of LLMs, embeddings, and multimodal modeling techniques
- Experience with distributed systems (Spark, Ray) or cloud data warehouses (BigQuery, Snowflake)
- Familiarity with Bayesian modeling or probabilistic programming
Tags & focus areas
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