Top Data & Analytics Jobs

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The SVP of Analytics Solutions will lead a global team to define, build, and commercialize analytics capabilities, drive client impact, and support business growth through innovative data solutions.

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

Lead a global team to deliver economic and industry analytics, support strategy development, and present insights to business leadership.

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.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

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.

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.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

As Director of Data and Science, lead healthcare analytics strategies using epidemiology and biostatistics to enhance patient care and innovation. Manage a team and collaborate with life science partners to design studies that reveal insights for improved health outcomes.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.

The Data Science Manager will oversee data science solutions, manage a data scientist, implement predictive models, and ensure data security.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

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

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.

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.

The Senior Data Scientist will analyze large-scale data, develop statistical analyses, build machine learning models, and optimize user engagement and product performance.