Top Data Science Jobs

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.

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

The Data Scientist will analyze complex datasets, build predictive models, collaborate with stakeholders, and present insights for business decisions.

The Staff Data Scientist will identify AI opportunities, develop machine learning models, and provide mentorship while delivering business solutions using data analytics and AI technologies.

The Data Scientist 2 will design and deploy machine learning solutions, drive model lifecycles, ensure compliance, and communicate insights. Requires extensive experience in healthcare data, modeling, and cross-functional collaboration.

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 Manager in AI Data Science, you'll lead innovative solutions, manage project execution, mentor teams, and engage with clients to drive strategic initiatives.

As a Senior Data Scientist in Fraud Risk, you'll develop metrics, real-time monitoring systems, and implement predictive machine learning models to mitigate fraud while balancing customer experience.

The Senior Staff Data Scientist will lead causal inference and experimentation standards, mentor teams, and enhance data-driven decision-making across the organization, focusing on mental health impact.

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 role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

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 evaluate data sources, build model monitoring infrastructure, and create analytical tools for cross-functional collaboration, enhancing decision-making processes.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Staff Data Scientist leads advanced analytics and machine learning initiatives in motorsports, mentoring staff, driving project delivery, and collaborating with engineering and IT teams to enhance race strategies and performance.

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.

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.

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 Principal Associate, Data Scientist, you will develop machine learning models and analytics to combat money laundering, collaborating with a cross-functional team and modernizing risk management practices.

The Data Scientist will collaborate with teams to develop AI features, build ML models, and translate complex data insights into business goals, leveraging technologies like Python and AWS.

As a Senior Associate, Data Scientist, you will develop valuations models, collaborate with a team, and utilize various technologies to analyze data and support credit programs.

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.

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.

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