Top Data Science Jobs

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

The Data Scientist will develop automated risk monitoring capabilities and key risk indicators, collaborating with teams to enhance decision-making and risk management. Responsibilities include analytics, metric development, and communicating findings to stakeholders to improve risk controls.

Join the Garner Health Intelligence team as a Data Scientist to enhance provider performance metrics, develop algorithms, design data pipelines, and collaborate cross-functionally to drive data-driven solutions for healthcare insights.

The Data Scientist will extract insights from datasets, develop machine learning models, and deploy AI solutions, collaborating with stakeholders to drive business outcomes.

As a Senior Forward-Deployed Data Scientist, you'll collaborate with customer teams on analytics, improve product architecture, and refine ML algorithms.

The Director of Data Science role at Capital One involves leading a team to build data pipelines and machine learning models, leveraging technologies like Python and AWS to derive insights for improving customer financial decisions.

As a Data Scientist, collaborate with teams to build machine learning models using large datasets, translating complex analyses into actionable insights for customer-centric products.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

The role involves leveraging AI and machine learning to develop advanced analytical methodologies, supporting intelligence programs, and collaborating with teams to automate analytic processes and improve tradecraft.

Build and deploy predictive models and analytics to optimize lending decisions, design A/B tests, create automated dashboards, support model implementation and monitoring, and deliver actionable insights to cross-functional teams and senior management.

As a Staff Data Scientist, you'll build data assets and analytics solutions, create machine learning models, and collaborate with stakeholders to drive business value.

The Data Scientist collaborates with leaders to develop predictive models, apply machine learning techniques, and provide insights for decision-making.

The Data Scientist will automate data workflows, analyze datasets using big data frameworks, develop predictive models, and collaborate with other data professionals to deliver insights supporting national security objectives.

The Data Scientist Intern will support analytics by applying machine learning techniques, developing predictive models, and translating data insights into actionable recommendations during the internship period.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

The Data Scientist will develop predictive models, conduct exploratory analysis, collaborate with teams, build data pipelines, and create visualizations to drive decision-making.

As a Data Scientist Co-op, you'll support analytics and decision-making, develop predictive models, and collaborate on data-driven solutions while learning about machine learning applications.

The Data Scientist at Snap Inc. applies quantitative analysis, data mining, and statistical modeling to deliver actionable insights, driving informed decision-making and optimizing product performance.

The role involves developing analytic solutions for credit risk management and business intelligence in the financial services sector, while mentoring juniors and collaborating with teams.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

As a Data Scientist/Technical Analyst, you will develop predictive models, evaluate technologies, provide digital support, and communicate with stakeholders.

The Data Scientist Intern will analyze large datasets, optimize processes, and develop models and algorithms to support decision-making within the organization.

As a Data Scientist I, you will support ML development, conduct analyses, partner with teams, and contribute to MLOps workflows for ad performance.