Top Data & Analytics Jobs

As a Staff, Advanced Analytics, New Business, you'll analyze data for new business extensions, collaborate with teams, define metrics, and conduct A/B tests to drive strategic decisions.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

As a Data Science intern, you will gain hands-on experience in various business areas, complete projects, and participate in professional networking, applying your academic knowledge to real-world scenarios.

The Manager, Data Science will lead marketing analytics efforts, analyze marketing effectiveness, build models for investment strategies, and collaborate across teams to provide actionable insights.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

The Director of Data & Analytics will lead the analytics function, align data strategy with growth objectives, ensure data quality, and develop talent in the data team.

As a Data Science Intern, you will perform exploratory analysis, develop models, and collaborate with experts in data analytics and software development.

Lead design and delivery of Microsoft Fabric-based data pipelines, Lakehouse data models, and ETL in Python. Partner with Finance to translate requirements, ensure data quality, enforce engineering standards, mentor engineers, and produce analytics and reporting (Power BI/Databricks) to support forecasting and profitability analysis.

Lead analytics and data science for underwriting transformation, focusing on forecasting, insights, and metrics for pricing and risk management.

Build scalable, production-ready data solutions and automations. Perform ad-hoc and deep-dive analyses using Python, PySpark, and SQL. Collaborate cross-functionally, use Databricks and Tableau to generate insights and optimize client marketing performance.

Build scalable, automated data solutions and perform ad-hoc quantitative analyses to identify and forecast trends. Collaborate cross-functionally to optimize client marketing performance using Python, PySpark, and SQL, and produce insights and dashboards with Databricks and Tableau.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

The role involves leading the analytics strategy for procurement, overseeing a team, developing AI/ML models, and collaborating with cross-functional teams to improve operational performance and data governance.

As a Customer Experience Data Science Intern, you will analyze data using SAS and Python to solve business problems, develop propensity models, and support AI projects while communicating findings effectively.

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

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

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

Lead end-to-end delivery of prioritized data science use cases: define use cases, build POCs on Microsoft cloud, analyze and interpret model outputs, create business-facing visualizations and recommendations, and partner with enterprise teams to scale proven models across the organization.

Lead the Global Analytics team at Hitachi Vantara, driving data-driven decision making by managing data analysis projects and mentoring analysts.

The role involves mentoring junior analysts, driving business performance through data analytics, collaborating with various teams, and ensuring analytical strategies align with business goals.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.

Lead data initiatives, develop machine learning models, conduct analysis to improve programs, and collaborate with cross-functional teams to drive results for health insurance enrollment.