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!