Top Data Science Jobs

Lead the Business Cards & Payments data science team to build and deploy ML solutions across the customer lifecycle. Partner with engineers and product managers, use Python, Spark, H2O, AWS and relational data to design, train, validate, and implement models that drive business outcomes and improve customer experience.

The Data Scientist will analyze data to provide insights, partner with teams for metrics, develop models, and create accessible visualizations to influence product and program strategies.

The Data Scientist will develop analytic solutions and predictive models for TransUnion's clients in financial services and insurance. They will engage with clients, lead projects, and deliver insights using advanced programming and statistical techniques.

As an AI Data Scientist, you will develop, validate, and test AI models, mentor juniors, and support project delivery in quantitative analytics.

As a Senior Associate Data Scientist, you'll partner with teams to analyze model risks, develop machine learning models, and enhance loss forecasting processes at Capital One.

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.

Partner with Digital Assets, Finance, Treasury, and Risk to design measurement frameworks, perform strategic analysis and modeling, build scalable SQL-driven automation and dashboards, analyze on-chain and finance data, create visualizations, and drive data-informed product decisions for USDC and related digital asset offerings.

Perform data cleaning, preprocessing, integration, and quality assurance; create complex visualizations and dashboards (Tableau/Power BI); run routine data quality checks; and apply AI/ML models to analyze unstructured data to support mission-critical decision making.

Develop and refine credit models, collaborate on new initiatives, conduct A/B testing, and communicate insights to management. Essential for improving lending decisions.

As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management.

The Data Scientist will analyze data to develop machine learning models and analytical solutions for business problems in Corporate and Institutional Banking.

Lead analytical projects using structured and unstructured data to derive business insights. Develop algorithms utilizing advanced statistical techniques and present findings to management. Collaborate with cross-functional teams for data-driven solutions.

Lead GTM data science initiatives to build revenue forecasting, causal inference analyses, and AI-enabled solutions that improve sales, retention, and expansion. Partner with Product, Growth, and Commercial teams to operationalize insights, communicate findings to stakeholders, and mentor junior data scientists.

As a Data Scientist, you'll leverage data to drive corporate strategy by building machine learning models and collaborating with cross-functional teams.

This role involves leading data science projects, developing machine learning models, collaborating with stakeholders, and mentoring other data scientists.

Lead development, maintenance, and monitoring of credit risk models for lending portfolios. Use SQL and Python to build pipelines, perform EDA, forecast losses, automate dashboards, produce audit-ready documentation, support model governance/validation, and communicate insights to stakeholders.

The Lead Data Scientist will manage projects on credit risk and business intelligence analytics, leveraging statistical models to provide insights for financial services clients. Responsibilities include developing solutions, leading client engagements, and mentoring junior staff.

As a Senior Data Scientist, you will develop machine learning models, automate data pipelines, and implement AI solutions while collaborating with engineers and stakeholders to meet customer needs.

The role involves analyzing complex data related to private markets, developing data models, creating visualizations, and collaborating on data-driven products.

Lead payments-focused data science work: build foundational datasets, metrics, and scalable analytics; analyze customer and transaction behavior (including onchain data); conduct strategic analyses to identify product and revenue opportunities; build reporting, dashboards, and automation; and influence product and business strategy through data storytelling to senior stakeholders.

Lead Data Scientist responsible for developing and implementing AI and ML solutions to support marketing and business engagement. The role involves technical leadership, model development, data analysis, stakeholder collaboration, and ensuring compliance with governance standards.

The Data Scientist Manager leads a team in assessing model risks, developing machine learning models, and presenting insights, while leveraging various technologies.

The Senior Data Scientist will implement and test ML models for international products, collaborating with cross-functional teams to drive insights and deploy solutions.

Senior analytics partner for consumer product experiences focused on visual content and media quality. Own experimentation, business analytics, and measurement; design multivariate tests; define success metrics; build self-service AI-enabled reporting; improve data quality and ETL pipelines; and translate analyses into product recommendations that drive engagement and lead generation.

Lead product-focused data science and analytics work: define success metrics, design and analyze A/B tests, investigate product and customer performance, build anomaly detection frameworks, and translate insights into product and roadmap recommendations while partnering with cross-functional teams.