Top Hybrid Data Science Jobs

The Senior Implementation Data Scientist will integrate Altana's platforms with customers, create analytical workflows, build value chains, and ensure positive client experiences while leveraging data science expertise.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

As a Data Science Software Engineer, you will design systems for data ingestion, develop reusable software components, and provide technical leadership for initiatives, contributing to AI solutions across MassMutual.

Embed with Product and Engineering to define success metrics, design measurement and experimentation frameworks, instrument and monitor launches, translate model-driven signals into decisions, and build repeatable decision loops to convert analysis into shipped changes.

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.

The Data Scientist will design experimentation frameworks, analyze ad performance, build data pipelines, and develop data science models to influence marketing strategies.

Conduct deep-dive analyses on large ad datasets to inform R&D, improve ML and bidding systems, detect/mitigate ad fraud, and define campaign health metrics and monitoring frameworks.

The Lead Data Scientist at FanDuel will develop and implement recommendation models for personalized user experiences, analyzing data to enhance customer engagement, leading projects, and mentoring team members.