Job Details

Data Scientist

We're hiring a Data Scientist to turn data into decisions and ML products that drive impact. You'll own problem framing, EDA, feature engineering, model development/validation, experimentation, and clear storytelling-partnering with product and engineering to ship measurable outcomes.
Key Responsibilities

• Translate business needs into data/science problems with clear success metrics.
• Explore, clean, and join complex datasets; engineer high-signal features.
• Build, validate, and iterate predictive/classification/ranking/NLP/time-series models.
• Design and analyze experiments (A/B, multi-arm) and causal studies for trustworthy inference.
• Communicate insights via narratives, visuals, and actionable recommendations.
• Partner with product/engineering to productionize models and monitor performance.

• 6-8+ years of applied data science experience in production or equivalent.
• Strong foundations in statistics, probability, and experimental design.
• Advanced SQL and proficiency in at least one general-purpose programming language, with hands-on experience using ML libraries and tooling.
• Experience working with large datasets and familiarity with distributed data processing frameworks.
• Proficiency in model evaluation, validation, and monitoring (offline/online metrics).
• Fluency in data visualization and executive-ready communication.
• Familiarity with MLOps practices and collaboration with data/platform engineering.
• BS/MS in a quantitative field (or equivalent experience) and strong communication skills.

• Experience in specialized areas like NLP, forecasting, recommendations, or anomaly detection.
• Knowledge of causal inference and A/B testing methods.
• Hands-on work with feature stores, real-time data, or online ML systems.
• Familiarity with cloud data platforms and modern warehouses.
• Experience mentoring peers and contributing to cross-team projects.
• Extra plus: publications, open-source contributions, or conference talks.