Top Data Science Jobs in Phoenix, AZ

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.

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.

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

Lead data science and AI initiatives, drive operational excellence, build teams, and translate data insights into business strategy for growth.

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

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

The Senior Data Scientist will lead advanced analytics for care gaps and customer segmentation, mentor team members, and manage complex datasets to drive strategic insights in the healthcare sector.

The Principal Product Manager will lead endpoint product initiatives, define strategy and roadmap, and collaborate with teams to enhance detection technologies.

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 Lead Product Manager will strategize and oversee the Managed Billing offering, focusing on feature development, customer engagement, and operational efficiency in insurance processing.

Lead Upstart's Auto Analytics team, managing analytics for Auto Refinance and Retail Lending, enhancing decision-making and growth strategies through data insights.

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

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

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

As a Strategic Account Executive, you'll manage the full sales cycle for various industries, focusing on selling AI and data analytics solutions, and collaborate cross-functionally within the company.

The Account Executive will engage with enterprise customers, managing the sales cycle to promote Dataiku's analytics platform, requiring 10+ years in software sales.

The Principal Product Manager will oversee product backlogs, define requirements, and lead product development, while building stakeholder relationships and driving market innovations.

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

As a Data Scientist, you'll build data pipelines, develop deep learning models for complex audio, and collaborate with teams to enhance voice AI systems.

The role involves managing operational practices within the Data Science team at Sprout Social, refining workflows, and ensuring alignment with stakeholders.

The Senior Customer Success Manager will advocate for customers, drive their success with Bloomreach's platform, optimize engagement, and identify growth opportunities.

As a Technical Recruiter, you will source and recruit top technical talent for AI/ML and Data Science roles while managing candidate experience and the hiring process.

The VP of Risk Data Science & AI at PayPal will modernize fraud risk decisioning using leading technologies, build strong teams, and influence key stakeholders.

The Enterprise Account Executive drives the entire sales cycle, focusing on engaging enterprise customers in various sectors to leverage Dataiku's AI platform, ensuring customer satisfaction and collaboration across departments.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.