Top Data Science Jobs in Boston, MA

Lead a data science team at Courtyard.io to drive data-driven decisions, build predictive models, and enhance marketing strategies. Manage analytics workflows and collaborate with cross-functional teams.

Support data processing, model maintenance, and analytics reporting. Use SQL/BigQuery, R or Python, and BI tools to prepare datasets, run analyses (including media-mix and incrementality), create visualizations, and support cross-functional presentations and automation efforts.

Design, test, and deploy time‑series and econometric forecasting models; own end‑to‑end model lifecycle (feature engineering, deployment, monitoring); analyze large datasets to surface drivers; translate results into clear insights for leadership; partner cross‑functionally to scale forecasting capabilities and improve shared tools and pipelines.

The Senior Data Scientist will leverage data and AI for financial insights, build data pipelines, predictive models, and dashboards, partnering with Finance teams to improve forecasting and fiscal strategy.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

As Senior Data Science Manager, you'll lead the LTV team, driving strategic modeling of customer value, delivering insights to impact business decisions, and enhancing automation and reproducibility in data science workflows.

Lead the data science and data engineering team at Sword Predict, focusing on machine learning model design and team management while acting as a technical expert in client engagements.

As a Senior Data Scientist, you will analyze complex data sets, collaborate with cross-functional teams, develop strategies, and deploy ML models to drive product improvements.