Top Data Science Jobs in Austin, TX

The Director of Data Science - Marketing will lead a team of data scientists to drive business growth through data-driven insights and strategic analytics. Responsibilities include developing quantitative models, optimizing marketing campaigns, and guiding strategic business decisions through data analysis. This role is highly strategic and impactful in shaping the future of the company's core products.

Join an enterprise AI company as a Revenue Operations Analyst to support sales and marketing teams in selling better, faster, and more efficiently. Responsibilities include refining lead qualification processes, supporting sales team with analytics, maintaining CRM data, and enhancing sales productivity.

As a Data Verification Specialist at CertifID, you will maintain and enhance the product database, ensuring accuracy and upholding database integrity to protect customers from fraud. Responsibilities include examining data for accuracy, identifying errors, conducting outreach calls, and maintaining confidentiality. Starting salary is $50,000 - $60,000 with benefits such as health insurance, 401k with matching, equity, parental leave, and a hybrid work environment.

The Senior Applied Research Scientist at ServiceNow will be responsible for building next-generation Large Language Models for Enterprise Language Generation. They will use their AI/ML expertise to solve real-world challenges, collaborate with a team of developers and product managers, and contribute to the design and implementation of AI-first platform offerings.

Lead and mentor the B2B Marketing and Sales Data Science & Analytics functions, develop data science and analytics strategy, collaborate with executive stakeholders, and drive key decisions to optimize customer acquisition and retention.

The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.

The Senior Data Scientist at Bonterra is responsible for developing analytics and predictive models to support the capabilities in the platform. They will work closely with the team to optimize user experience and outcomes for enterprise-level software.