Top Data & Analytics Jobs

As a Data Scientist, you will leverage data to improve client experiences, design metrics, build data pipelines, and collaborate with teams on data-informed decision-making.

Lead the development of autonomous AI systems, focusing on agentic AI, LLMs, knowledge graphs, and RAG pipelines while collaborating with cross-functional teams.

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 projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

Lead a team of data scientists, improve experimentation in marketing, streamline workflows, and collaborate across departments to enhance campaign effectiveness.

The Director of Data Science leads analytics projects, turning complex data into actionable marketing strategies, and mentors junior staff. They oversee client analytics and measurement frameworks while ensuring high-quality standards across analytics initiatives.

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.

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 a team of data scientists to develop AI-driven products, focusing on data collection, processing, and integration to enhance Visa's data understanding and technology use.

Lead a data science team to build predictive models and simulations for football products, manage projects, and improve data processes.

The Senior Manager, Data Science designs dashboards, implements AI models, analyzes customer behavior, and develops data movement strategies to enhance business operations and customer experience.

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.

Lead Data Science Analyst responsible for designing, building, and implementing data science solutions to improve customer experiences and financial performance.

Lead fraud analytics and data science team, overseeing POCs and collaborating with cross-functional teams to reduce fraud while mentoring staff.

Assist in developing machine learning models for time series forecasting and enhance data ingestion processes, analyzing market data insights.

The internship involves conducting research, enhancing machine learning models, analyzing energy market data, and collaborating with data scientists and traders.

The Sr. Director will oversee revenue analytics, lead FP&A processes, develop advanced analytics capabilities, and manage a team to drive data-driven decision-making.

Lead the development of machine learning models to improve mental well-being and manage healthcare costs, collaborating with teams.

As a Data Scientist in Trading Operations, you will analyze complex datasets, develop data pipelines, and communicate insights to enhance trading strategies.

Lead analytics projects in healthcare, leveraging SQL and Python to develop impactful data-driven solutions, mentor teams, and communicate insights effectively.

As a Data Scientist, you will analyze data, conduct A/B experiments, and influence product decisions to improve financial tools. Requirements include expertise in data analysis and machine learning.

Manage growth data science and analytics by leading marketing campaign analysis, developing statistical models, and optimizing marketing investments.