Top Data & Analytics Jobs

The Head of Data Science will lead and develop strategic AI/ML initiatives, mentoring teams, managing budgets, and collaborating with C-suite executives to drive business outcomes and innovation in data science.

The VP, Data Science and Campaign Analytics will lead data-driven initiatives, develop predictive models, support campaign execution and analysis, and ensure compliance with analytics governance.

As a Data Science Intern, you will collaborate with teams to analyze data, build models, and provide insights that guide decisions at Figma.

Lead the data function at Charlie Health, oversee analytics engineering, and embed data science across departments to enhance decision-making and operational insights.

The VP of Advanced Analytics & Data Strategy will lead advanced analytics functions, develop AI-driven solutions, oversee a talented team, and drive client and internal innovation.

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

Lead and manage a team of data professionals in delivering analytics solutions, improving business insights, and fostering partnerships with various stakeholders.

Lead a diverse team in data science and analytics, optimizing the Netflix streaming product by scaling analytics and applying methodologies for business impact.

Lead the Promotional Media Data Science team, overseeing causal inference, experimentation, and analytics to optimize promotional strategies and enhance member experience at Netflix.

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

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

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 Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

Conduct research using data mining and statistical modeling to derive insights from large unstructured data sets for investment decisions.

The Data Scientist will identify new datasets, build tools for data ingestion and cleaning, analyze data, and support trading operations.

Lead machine learning and data science strategy at LendingClub, managing teams and driving innovation in predictive modeling and analytics across various domains.

Lead a team in developing AI solutions, drive advancements in AI within the mortgage industry, and oversee data science techniques implementation.

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

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 Director of Data Science will lead AI/ML and GenAI initiatives, oversee project delivery, and mentor a data science team, focusing on life sciences.

Lead AI/ML and GenAI initiatives across life sciences clients, focusing on scaling offerings, driving growth, and delivering innovative solutions.

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.