Top Data Science Jobs in Houston, TX

Lead AI initiatives at GM, developing comprehensive strategies aligned with business objectives and promoting best practices in a cross-functional environment.

Lead and scale the global AI Center of Excellence, overseeing the development and execution of AI solutions for cybersecurity challenges.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

The Partner Marketing Manager will develop and execute marketing programs with strategic partners, enhance partner relationships, and drive pipeline growth in the data and AI sectors.

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

The Senior Product Manager will build and manage the Incentives Engine to drive user engagement, retention, and overall growth at Coinbase, emphasizing strategic incentives and cross-functional collaboration.

As an Associate Product Manager, you will gain hands-on experience managing products, launching features, and collaborating across teams. You'll be trained in product management, focus on customer needs, and help deliver innovative solutions that drive business impact.

Lead the AI Evaluations product framework at Dropbox, focusing on metrics, model performance, and user satisfaction for AI features. Collaborate with AI, data, and research teams to define success metrics and operationalize evaluation tools.

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

Lead product strategy for Merchant Performance Growth, build intelligence capabilities, and drive attribution efforts while collaborating across teams to enhance merchant relationship and revenue.

The Sales Engineer Intern will engage with the sales team, learn products, assist in technical demonstrations, and use analytical skills to present solutions to potential customers.

Earth Science Interns will participate in projects contributing to Chevron and will develop skills in geoscience and geophysics. Interns receive mentorship and guidance.

The Earth Science Intern will assist in geoscience projects, gaining experience in geophysics, geochemistry, and subsurface characterization while supporting Chevron's energy initiatives.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Sr. Data Scientist will analyze language-based clinical data to generate insights, support operations, and drive product innovations using AI technology in mental health care.

Define and drive vision for AI-powered tax products, collaborating with experts and engineers to translate needs into scalable solutions.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

As an intern in Research and Development at Dow, you'll assist in projects, partnering with scientists to solve chemical and material-related problems.

The internship involves solving diverse problems in digital innovation related to R&D and Operations, requiring strong technical and analytical skills.

Seeking PhD interns for R&D roles at Dow. Responsibilities include solving complex problems and collaborating to drive innovations.

Lead data partnerships by executing data acquisition strategies, negotiating agreements, and evaluating data quality in clinical and observational studies.

The VP of Product will define the strategy for Tala's lending ecosystem, enhance customer experiences, and lead product teams while achieving sustainable growth and financial inclusion.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.

The Director, Technical Data Product Owner, collaborates on product requirements, ensures data product delivery, and manages technical documentation and stakeholder communication, focusing on data management solutions in healthcare.

The Practice Manager leads Data Science, AI, and ML projects, managing teams, fostering growth, and ensuring customer success through technical guidance and strategic business planning.