Top Data Science Jobs in Dallas, TX

The role involves managing product features, collaborating with cross-functional teams, and prioritizing roadmap in an agile environment to drive customer value.

The Recruiting Data Analyst will optimize recruitment analytics, support data integrity, develop reports and dashboards, and enhance recruitment strategies through data-driven insights.

As a Data Scientist, you will develop analytical solutions, engage stakeholders, and deploy machine learning applications, influencing business processes.

The Senior AI Product Manager will lead the development and launch of AI/ML features, collaborating with engineering and sales teams to deliver impactful products and achieve business goals.

As a Product Manager, you will contribute to product strategy, gather market insights, and collaborate with stakeholders to build innovative healthcare solutions.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

As a Staff Product Manager, you will own strategy for the Benefits Platform, enhance insurance accuracy, and collaborate with engineering and data teams to improve automated decision-making using ML.

As a Senior Data Scientist, you'll leverage advanced computing and machine learning to drive impactful analytics and model development for Capital One's Auto Finance business, partnering across teams to enhance customer outcomes.

Lead CMC activities for biologic product development, oversee teams, ensure regulatory compliance, and collaborate across functional areas to enhance drug development.

As a Principal Associate, Data Scientist, you'll use machine learning and analytics to deliver insights and drive impactful business decisions in financial services.

Lead the AI governance framework development, integrating compliance, risk management, and mentoring junior staff while influencing AI governance practices.

Lead product marketing efforts for Domino's Data Science platform. Develop messaging, drive go-to-market strategies, and create thought leadership content while engaging with data science executives.

Lead Value Consultant responsible for executing value management strategy, enhancing customer value initiatives, and driving cross-functional collaboration for impactful outcomes.

The Senior Data Scientist will develop and maintain machine learning models while collaborating with various teams to drive business growth and operational efficiencies.

The Senior Manager, Data Science will lead a team to develop machine learning models and insights from large data sets, focusing on financial services.

The Senior Actuarial Assistant analyzes data using actuarial techniques, collaborates on product strategies, and communicates insights to inform business decisions.

The Software Engineer III will lead projects to enhance patient communication, collaborating across teams to deliver high-quality, maintainable systems and improving healthcare accessibility.

As a Senior Applied Scientist, you will build machine learning models, mentor teams, and optimize business processes across various teams at Coinbase.

Manage Trade Promotion Management projects, translating business needs into technical solutions, and leading cross-functional teams to achieve deployment goals.

Manage the product lifecycle for healthcare EHR data products, leading strategy, collaboration, market research, and stakeholder engagement.

Lead technical storytelling and marketing strategies for Domino's AI/ML products, engaging with customers and fostering market understanding through compelling content and education.

The AI Adoption & Engagement Lead will develop AI strategy, build internal networks, measure AI success, and engage stakeholders to drive AI adoption.

The Manager, Data Science role focuses on leveraging machine learning and analytics in a financial services environment, partnering with cross-functional teams to impact customer-centric product development.

Lead large data projects, design analytics roadmaps, implement quality controls, and foster relationships with clients and teams to drive success.

The Senior Product Manager will lead AI product strategy, collaborate with cross-functional teams, and drive product vision and metrics, ensuring ethical AI practices.