Top 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 Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

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, 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.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

Manage and optimize GPU capacity and compute resources, develop data models and reporting systems, collaborate across teams to improve efficiency and meet business needs.

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.

The Director of Digital Business Innovation will lead digital transformation initiatives, emphasizing data, AI, and ML to enhance operational efficiency and business innovation. Collaborate with various teams to execute strategies and drive business results.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

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

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.

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

The role involves leading analytics initiatives to support community support, driving data-informed decisions, building insights platforms, and using statistical models for product improvement.

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 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.

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

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

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

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

The role involves data-related tasks like data collection, evaluation, annotation, and object tagging across various content types.

SirenOpt is looking for individuals interested in potential future opportunities. Interested candidates can submit their resumes for consideration.