Top Remote Machine Learning Jobs in Phoenix, AZ

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

Lead the development of audit practices, enhance methodologies, integrate data analytics, ensure compliance, mentor teams, and communicate effectively with leadership.

Lead Circle's global fraud risk management program, overseeing analytics, compliance with regulations, and investigations into fraud. Collaborate with stakeholders to assess and mitigate fraud risks.

The AI Business Risk and Controls Advisor Senior manages risk advisory for AI initiatives, ensuring compliance with governance, controls, and regulation. Responsibilities include risk data analysis, improving control environments, and advising management on control weaknesses.

Lead enterprise-wide data and AI governance by creating and enforcing policies, controls, and frameworks for responsible data use, AI model oversight, risk mitigation, regulatory compliance, and stakeholder engagement across the organization.

Support cross-functional teams by driving data-driven decisions: design and analyze A/B tests, leverage ML models for insights, define growth levers, and automate operational processes to scale customer acquisition and partnerships.

Senior domain expert responsible for translating payment integrity domain knowledge (CR, COB, DM) into scalable rule logic, workflows, automation, and AI-enabled solutions. Partners with product, engineering, analytics, and operations to design, govern, and continuously improve rules, orchestration, and automation to reduce false positives and prevent improper payments.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The Sr. Director of Digital Optimization will lead strategies for CRO and personalization, driving user engagement and business growth across Risepoint's multi-brand ecosystem. Responsibilities include building scalable testing programs, leveraging analytics for insights, and leading cross-functional collaborations.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

The Associate Director leads the Global Records and Information Management team, optimizing governance practices, managing projects, and developing relationships across various stakeholders, while ensuring regulatory compliance and strategic implementation.

The Senior Director of Data Insight will lead global data capabilities, focusing on analytics, AI integration, and operational efficiency to support business decisions.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The Staff Advanced Analyst will drive data analytics to improve CS Safety experiences, influence product decisions, and build measurement tools using data-driven insights.

The Business Analyst 2 analyzes AI-powered data solutions, optimizes customer experience automation, and collaborates with teams to drive business insights and value.

The Director will develop and enhance credit strategies using ML and data analytics, oversee credit quality, and ensure compliance while guiding a team.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.