The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects. The Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.

The Data Analyst will develop and manage the requirements, design, and development of handling data coming from our partners in specific market channels. The analyst will work closely with business users to understand the customer data for the specific channel and develop approaches and plans to deliver on the requirements.

The Senior Data Scientist develops models and runs analyses to enhance business operations and support Oscar's goals. You will report to the Lead Data Scientist. The role involves researching, developing, and maintaining data pipelines, statistical/ML models, and/or advanced analyses.

Work in an interdisciplinary team to study clinical and molecular profiles in cancer to learn new insights into our data. The successful candidate will carry out data analysis, and apply best-in-class cBio and AI algorithms - or develop new algorithms that directly address important biological and clinical questions.

Make a significant impact by supporting Flex for Good with cutting-edge data science and machine learning solutions. Design and deploy advanced statistical and machine learning models to identify renters at risk of eviction, optimize resource allocation, and measure program outcomes. Collaborate with cross-functional teams to solve high-impact challenges.

Analyze large and complex data sets using advanced statistical methods and machine learning techniques to uncover actionable insights to guide business strategies. Build and deploy machine learning models to predict customer behavior, optimize marketing campaigns, and improve product offerings. Collaborate with cross-functional teams to ensure that data insights are integrated across the organization.

As a Product Analyst, you'll ensure teams have insights to build the next generation of browsers, focusing on user needs and rapid learning. You'll partner with Product and Marketing to optimize the user funnel and team up with Engineering and Design to instrument new features. Champion data across the company, define strategic metrics, and build data infrastructure.

Seeking an experienced and passionate data scientist to work in the Insights team, you will work alongside Data Analysts and Data Engineers to deliver insights to a variety of stakeholders and lead experimentation efforts as well as deep dives, user’s behavior modeling, KPIs forecasting and insights democratization.

Lead the development of modeling complex, real-world problems; complex data pipelines to support production systems; and efforts to bring machine learning algorithms into production. Monitor and maintain production machine learning data pipelines. Need 2+ years experience in machine learning model development.

As a People Data and Insights Analyst, you'll build a robust data foundation, collaborate with technology owners and the Enterprise Data Office, and design data models. This role requires an understanding of data warehousing principles and the ability to translate data into actionable insights for strategic people decisions.