Top Senior Machine Learning Jobs in Phoenix, AZ

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

The Senior Data Analyst leads complex analytical projects, manages data quality standards, performs advanced analyses, and mentors analysts while developing visualization techniques for actionable insights.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead the fraud strategy to protect customers and card portfolios, develop real-time models with Data Science, and manage fraud performance metrics. Collaborate across teams to implement effective fraud controls and optimize processes.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

The Senior Data Analyst leads complex analytical projects, collaborates with internal partners to translate business needs into analytical solutions, and develops data quality standards. They mentor analysts, create visualizations, and present insights to senior stakeholders.

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

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

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 a Senior Data Scientist, you will leverage machine learning and statistical techniques to solve complex business problems and drive product innovations. You will collaborate with cross-functional teams and analyze data to help shape product strategies and decisions.

The Revenue Operations Data Visualization Specialist will modernize sales reporting and streamline data pipelines, utilizing AI/ML to provide actionable insights and support sales strategies.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

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.

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.

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

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

The Machine Learning Engineer develops AI solutions for cancer care using expertise in ML algorithms and genomic data, collaborating across teams.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.