Top Remote Senior Level Data Science Jobs

The Senior Data Scientist will analyze large datasets to provide insights for the product team, design and evaluate A/B experiments, collaborate with engineers for data logging, and create data visualizations while effectively communicating findings to stakeholders.

As a Senior Data Scientist, you will collaborate with business leads to strategize and measure data-driven initiatives, develop data visualizations, and solve performance bottlenecks in a dynamic environment. You will support leadership decisions through actionable insights and improve analytic capabilities across teams.

The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.

As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.

As a Staff Data Scientist at Upstart, you will analyze model performance, identify improvement opportunities, and collaborate with scientists to develop predictive models. Your role involves presenting findings to stakeholders, conducting ad hoc analyses, and writing well-documented code.

As a Senior Data Scientist at Cash App, you'll analyze large datasets using SQL and scripting languages, design A/B experiments, collaborate with engineers, and build data visualizations. Your work will enhance the peer-to-peer transfers product by deriving insights to inform product strategies and decisions.

As a Senior Data Scientist, you'll apply data science techniques to enhance sales and account management, develop predictive models, analyze experiments, and mentor junior team members while collaborating with cross-functional teams to drive data-informed decision-making.