Data Scientist - Remote

Overview 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.

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.

Required Skills and Experience 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.

Preferred Qualifications 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.

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