Data Scientist

Role: Data Scientist Location: Remote What You’ll Do: • Analyze large datasets to uncover trends and guide modeling direction • Build predictive models and ML pipelines across tabular, time-series, NLP, or multimodal data • Design validation strategies, experiments, and rigorous analytical workflows • Develop automated feature pipelines and reproducible research environments • Perform EDA, hypothesis testing, and model investigations • Translate findings into actionable recommendations for cross-functional teams • Partner with ML engineers to productionize models and scale data workflows • Deliver insights through clear reports and documentation What Makes You a Great Fit: • Kaggle Competitions Grandmaster or equivalent elite competition performance • 3–5+ years in data science or applied analytics • Strong Python expertise (Pandas, NumPy, Polars, scikit-learn, etc.) • Proven experience with end-to-end ML modeling • Solid grounding in statistics, experiment design, and causal analysis • Familiarity with SQL, dashboards, distributed datasets, and experiment tracking • Excellent communication and storytelling with data Bonus Skills: • Contributions across Kaggle tracks • Experience in AI labs, fintech, or ML-focused teams • Knowledge of LLMs, multimodal models, embeddings • Experience with big data tools (Spark, Ray, Snowflake, BigQuery) • Familiarity with Bayesian or probabilistic modeling Why This Role Stands Out: • Work on frontier AI research problems • Apply competition-level modeling skills to high-impact real-world challenges • Collaborate with world-class research and ML engineering teams • Flexible 30–40 hrs/week (or full-time) • Fully remote, async-friendly environment Apply Now!