Top Data Science Jobs in Phoenix, AZ

The VP of Product Management will lead the vision, strategy, and execution for Dropbox's core product to drive user growth and retention. Responsibilities include aligning product initiatives with company strategy, optimizing monetization, mentoring product teams, and enhancing customer experiences through data-driven insights. This role requires collaboration with C-level executives and cross-functional leaders to enhance business impact and engage users effectively.

The Product Marketing Director at Domino Data Lab will refine messaging, lead campaigns, develop thought leadership content, and drive product launches for data science and AI products. The role requires deep expertise in data science and marketing to executive personas and involves managing cross-functional teams and creating compelling narratives for market engagement.

As an Associate Product Manager at Instacart, you will engage in an 18-month program working across various teams to gain product management experience. Responsibilities include overseeing product development from discovery to launch, collaborating with multiple departments, conducting quantitative research, and identifying growth opportunities, all while leading cross-functional teams to address user needs and improve experiences.

The Senior Manager of Coding Services will lead and manage a coding team to ensure compliance with coding regulations, drive client success, improve coding processes, and develop team members through education and mentorship. This role will involve monitoring client data, advocating for product enhancements, and collaborating with internal teams for product development.

The Director of Product Management will lead the strategy for NG-SIEM and Cloud Security Detection within the Falcon platform, collaborate with engineering and data science teams, and define product roadmaps. Responsibilities include engaging with sales and marketing to guide product direction and conduct competitive analyses.

The Senior Data Scientist will lead independent analyses of real-world evidence (RWE) studies, communicate findings to pharma partners, and enhance data quality through collaboration with various teams, focusing on oncology and epidemiological methodologies.

As a Coding Specialist, you will provide coding expertise, conduct audits, research industry updates, and collaborate with teams to enhance coding accuracy and compliance. Your role involves evaluating coding processes, optimizing product performance, and preparing related reports to support product development.

The Senior Machine Learning Engineer will enhance security and user trust by developing ML models and algorithms to detect threats and analyze behavioral patterns. Responsibilities include building real-time detection systems and collaborating with cross-functional teams to integrate ML solutions into workflows.