Top Hybrid Data Science Jobs in New York City, NY

Lead data strategy and analytics for a product group at Hinge, collaborating with teams to define success metrics and drive product innovation through data insights.

As an intern, you will lead research projects in cheminformatics and machine learning, developing new tools for drug discovery programs and working closely with experienced scientists.

The Data Scientist will analyze customer data, build performance metrics, drive product improvements, and partner with diverse teams to ensure reliable fraud detection systems.

As a Senior Data Scientist, you'll build scalable models to improve logistics and enhance user experiences, collaborating with product managers on high-value problems.

As a Data Scientist, you will own analytical projects that influence product decisions and marketing campaigns. You'll apply statistical methods and predictive modeling to enhance customer value and drive business outcomes, collaborating cross-functionally to integrate insights into strategies.

Lead the Product Data Science function at Moloco Ads, delivering insights and analyses that drive product strategy and operational metrics, while managing a team of data scientists.

Lead media science strategy and measurement for client campaigns, manage and mentor data scientists, develop experimentation and optimization approaches, collaborate with media strategists and engineers to productionalize solutions, and communicate insights that drive business outcomes.

Data Scientist needed to analyze customer interactions, optimize product analytics infrastructure, ensure data quality, and generate insights using classical and LLM methods.

The Senior Data Scientist will lead analytical projects, develop bespoke solutions for clients, manage teams, and present findings to drive client satisfaction and retention.

Lead design and delivery of advanced measurement, predictive and causal analytics for marketing. Build and deploy cloud-based ML solutions (Vertex AI, BigQuery ML), integrate marketing and CRM data, implement MLOps best practices, mentor teams, and translate model outputs into dashboards and actionable insights to improve media performance and ROI.