Top Senior Data Science Jobs

The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.

Design and implement advanced data science models, lead projects, analyze datasets for insights, ensuring data quality, and mentor junior scientists.

The Senior Data Scientist will lead experimentation processes, define metrics, conduct analyses, and collaborate with teams to drive data-driven decision-making in Grubhub’s Diner & Fulfillment area.

This role involves leading data science projects, developing machine learning solutions, and collaborating with cross-functional teams to improve clinical trials and business operations through advanced statistical analysis and data engineering.

The Senior Data Scientist will drive business growth by analyzing data, optimizing marketing strategies, and presenting insights to stakeholders. This role requires collaboration with teams and expertise in analytics, statistical methods, and advanced modeling techniques.

Seeking a seasoned Data Scientist for predictive modeling, personalization, and AI-driven recommendations. Responsibilities include model building, data analysis, and collaboration across teams.

The Staff Data Scientist will enhance Pinterest's Shopping experience through machine learning, causal inference, and robust methodologies, impacting product strategy and mentoring junior data scientists.

The Data Scientist, Integrity will design and implement fraud detection systems, collaborate across teams, and stay ahead of misuse trends using advanced models.

Lead data science initiatives to enhance product listing quality using ML and AI. Mentor junior data scientists and drive team strategy.

This Data Scientist role involves collecting and analyzing cybersecurity data, building machine learning models, creating visualizations, and supporting automation initiatives.

Lead advanced data science initiatives, mentoring teams to deliver AI/ML solutions supporting national security. Oversee predictive modeling and data analytics efforts.

The Senior Data Scientist will develop machine learning models, monitor their performance, present findings to executives, and collaborate with engineering teams.

The Lead Data Scientist oversees data science projects, applying ML and DL algorithms, mentoring junior scientists, and collaborating with cross-functional teams to develop scalable solutions for the retail sector.

The Staff Data Scientist will leverage data-driven insights to optimize customer engagement and retention through machine learning and analytics, communicate findings, and collaborate with cross-functional teams.

Design and implement data pipelines, perform root cause analysis, ensure data accuracy, conduct exploratory analysis, develop predictive models, and create visualizations to optimize risk segmentation and support decision-making.

The Senior Scientist will lead research projects for biopharma partners, integrating data analysis and providing insights to support drug development decisions.

As a Lead Data Scientist, manage a global team, build and train ML models, and enhance finance processes using AI/ML techniques.

As a Data Scientist for marketing at Anthropic, you will analyze marketing performance, define metrics, improve marketing effectiveness, and promote a data-driven culture.

The Data Scientist will analyze data, support the implementation of LogiCole, manage supplier data, and improve logistics application workflows.

The Data Scientist Level 3 role involves analyzing large datasets, developing models, and communicating findings to non-technical audiences, requiring significant experience in data science and related fields.

As a Staff Data Scientist on the Pricing team, you'll optimize models and drive analysis to enhance Lyft's pricing strategies, collaborating with cross-functional teams.

Weeghman & Briggs seeks Data Scientist Level 3 to analyze large datasets for the Federal Government. Responsibilities include statistical analysis, data modeling, and effective communication of findings.

The Data Scientist will analyze large datasets, design machine learning models, collaborate on data management, and present findings to stakeholders.

The Senior Data Scientist in Risk & Fraud will analyze data, build models to evaluate customer behavior, and develop metrics to drive business strategy.

The Applied Data Scientist develops, implements, and deploys machine learning applications to provide actionable insights for clients and collaborates with a talented data science team.