Role overview
We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile.
What you'll work on
- Analyze large, complex datasets to uncover patterns and generate actionable insights
Build predictive models and ML pipelines across:
- Tabular data
- Time-series data
- NLP
- Multimodal datasets
Design and implement validation strategies, experimental frameworks, and analytical methodologies
Develop automated data workflows, feature pipelines, and reproducible research environments
Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations
Translate analytical results into clear recommendations for engineering, product, and leadership teams
Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale
Present findings via dashboards, structured reports, and documentation
What we're looking for
- Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code)
- Experience in AI labs, fintech, product analytics, or ML-driven organizations
- Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data
- Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.)
- Familiarity with Bayesian methods or probabilistic programming frameworks
Tags & focus areas
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