Top Data Science Jobs

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.

This role involves developing analytic solutions through consulting for clients, leading projects, and delivering insights using statistical analysis on large datasets.

This role involves developing analytic solutions and predictive models for TransUnion's clients, managing client engagements, and conducting complex data analysis.

The Data Scientist role involves developing analytic solutions, leading client engagements, designing predictive models, and delivering insights across industries served by TransUnion, particularly in financial services.

The Data Scientist II will lead end-to-end ML projects, deploy production-grade models, and collaborate with stakeholders and data engineers to optimize analytics solutions.

The Data Scientist II role involves building and deploying production AI/ML solutions, collaborating with stakeholders and data engineers, and translating technical insights into business value.

As a Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

As a Growth Data Scientist at Notion, you'll analyze product changes to enhance user experience, identify growth opportunities, and work closely with cross-functional teams to drive data-driven strategies.

As a Data Scientist, you'll leverage machine learning and advanced technologies to develop and implement models for credit line optimization, collaborating with cross-functional teams.

The Data Scientist will analyze Tempus's clinical and genomic data to facilitate academic research by developing databases and improving data models.

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 Geospatial Data Scientist will automate data ingestion, analyze geospatial data, create visualizations, and ensure high-quality data workflows.

The Data Scientist II transforms data into insights, designs data modeling processes, uses AI and ML techniques, and collaborates with teams to solve business challenges.

The Forecasting Data Scientist will lead statistical forecasting processes, manage data modeling, analyze patterns, and improve planning accuracy through predictive analysis and collaboration with stakeholders.

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 Staff Data Scientist, you'll provide insights using causal inference, lead forecasting efforts, and mentor team members while collaborating with executives.

Develop actionable insights from people data to influence business decisions; collaborate with stakeholders and assess metrics success using advanced analytics.

This role involves leveraging data insights to influence product strategy and enhance user experiences, with significant collaboration across teams.

The Senior/Staff Data Scientist will analyze healthcare data to derive insights, support internal teams with analytics, and lead data function standards and processes.

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 Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.

As a Data Scientist, you will partner with teams to build machine learning models and deliver AI solutions leveraging large datasets and various technologies.

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