Top Machine Learning Jobs in Detroit, MI

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.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

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.

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

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.

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

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 Digital Senior Director leads AI product management, developing go-to-market strategies, driving revenue, and managing client relationships within the Education and Research sectors.

The Assistant Modeling Manager develops and enhances auto insurance rating plans, applying advanced modeling techniques and collaborating with data scientists to provide insights and ensure compliance with regulations.

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 Data Analyst will analyze and transform complex datasets into actionable insights, supporting federal healthcare decision-making and ensuring data quality.

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.

Lead IT data management for G&A, developing and implementing data solutions, managing relationships, and aligning data strategies with business objectives.

The VP of Data & Analytics is responsible for shaping data vision, driving analytics and AI integration, ensuring data governance, and leading a high-performing team to enhance educational outcomes.