Top Data Science Jobs in Dallas, TX

The Technology Engagement Intern will coordinate stakeholder requirements, analyze data sources, define business use cases, and assist in standardizing processes and best practices while learning about data science and analytics.

The Data Science Manager at Garner will develop care navigation algorithms and analytics while managing a team of 4-6 data scientists and analysts. This role will involve leading data science initiatives and ensuring the success of the company’s healthcare mission.

As a Data Scientist at Capital One, you will be part of a team focused on leveraging data analytics and machine learning to improve customer experiences in financial services. Your responsibilities include designing and implementing advanced machine learning models, collaborating with cross-functional teams, and utilizing a range of technologies for data analysis.

Lead the Enablement team at Jellyfish, guiding data scientists and engineers in producing analytics, insights, and tools to inform product and business strategies. Deliver self-serve analytics capabilities, support executive reporting with bespoke analyses, and maintain analytics infrastructure while fostering a culture of data-driven decision-making.

As a Data Scientist at Capital One, you will collaborate with data scientists, software engineers, and product managers to develop machine learning models, analyze large datasets, and translate complex data insights into business strategies. Your focus will be on applications zoals customer lifetime valuation and fraud detection, employing technologies like Python and SQL while fostering cross-functional teamwork.

As a Data Science Manager, you will lead the development of machine learning solutions for customer management valuation within the US Card division, ensuring high code quality and translating data science outcomes into business impacts. Close collaboration with cross-functional teams is key to managing existing models and proposing new data-driven strategies.

The Principal Field Solution Architect focuses on pre-sales solution design and engages with sales teams to strategize and understand customer environments. They develop scopes of work and build relationships with clients to grow business by understanding and addressing their data needs with a variety of modern data technologies.

The Engineering Director will lead the Data Integration and Platforms team, focusing on scaling and improving data integration systems with electronic health records. Responsibilities include building a skilled engineering team, establishing a technical vision, enhancing data governance, and preparing for AI/ML adoption. The role requires overseeing projects to ensure high-quality results and effective collaboration across the organization.