Top Data Science Jobs in San Antonio, TX

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.

Drive revenue growth by managing a team of Sales & Value Engineers, developing technical strategies, and establishing partnerships with large enterprises. Shape solutions, accelerate customer success, and mentor team members in delivering impactful demos and presentations.

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

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 Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

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.

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.

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.

This role involves leading a technical support team, managing incident processes, collaborating cross-functionally, and driving operational improvements in healthcare tech.

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.

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

This role involves managing the product roadmap for energy SaaS solutions, collaborating with teams to define user stories, and supporting marketing efforts.

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

Lead and mentor a data science team delivering AI-driven insights and predictive analytics for enterprise-level business applications, ensuring strategies align with operational excellence.

The role involves managing data analysts and data scientists, overseeing data analytics in payments, influencing product strategy, and fostering team growth.

Manage a team of data analysts and data scientists for Circle's payments products and compliance, ensuring impactful data use and communication, while fostering team growth and cross-functional partnership.

The Sr. Manager will lead a team of data analysts and scientists in improving Circle's payments products and compliance efforts, ensuring impactful data analytics.

The role involves managing a team of data analysts and scientists focused on payments products and compliance efforts, ensuring impactful data-driven decisions, and fostering team development.

The role involves managing a team that focuses on data analytics and data science for payments and compliance, guiding them to produce impactful results and ensure organizational decisions are data-driven.

Manage a data science and analytics team focused on payments and compliance, guiding data analysts and scientists to drive business decisions and impact.

The role involves managing data analysts and scientists to enhance payments and compliance products, ensuring impactful deliverables and cross-functional collaboration.

The Sr. Manager of Data Science and Analytics will oversee a team, guiding efforts in data analysis for payments and compliance, ensuring impactful outputs, and fostering team growth.

Manage a team of analysts and scientists focused on data for payments and compliance, ensuring impactful results and effective communication.

The Sr. Manager of Data Science and Analytics will lead a team of analysts and data scientists to enhance payments products and compliance efforts, focusing on impactful data-driven decisions and cross-functional collaboration.