Top Hybrid Data Science Jobs

The RevOps Data Scientist will enhance data operations, improve analytical frameworks, and scale machine learning models to support business growth while collaborating across teams.

As an Applied Data Scientist, you'll analyze CRE market trends using statistical and machine learning models, optimize data pipelines, and communicate insights effectively.

As a Data Scientist, you will analyze and model data to optimize machine learning systems, such as dynamic pricing and trip dispatching. Your role includes conducting exploratory data analysis, deploying ML applications, and collaborating across teams to improve solutions.

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.

The Data Scientist will design scalable data models, support data transformation, provide business insights, maintain data quality, and drive evidence-based decisions.

The Lead Data Scientist will drive advanced data science solutions, lead projects, mentor teams, and shape data strategies for clients in the financial sector.

The Staff Data Scientist will design and build scalable machine learning systems, lead complex modeling projects, and synthesize diverse datasets to deliver predictive models for clients.

As VP, Head of Analytics, Data Science & Pricing, you will lead data-driven strategies to drive growth and inform business decisions, promoting Human+AI collaboration.

As a Data Engineer Intern at Zoox, you'll build data pipelines and infrastructure, develop ETL processes, and support analytics to leverage large datasets in autonomy and content areas.