Top Senior Level Data Science Jobs

The Credit Analyst will perform fundamental credit research to identify investment opportunities in the High Yield market. Responsibilities include analyzing capital structures, developing trade ideas, monitoring positions, and maintaining external relationships to form issuer views.

As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.

The role involves developing and executing biomarker strategies for early clinical development, utilizing advanced bioanalytical methods and collaborating with interdisciplinary teams. Responsibilities include analyzing clinical samples, optimizing assays, and maintaining thorough documentation to support clinical trials.

The Bioengineer or Scientist will research and develop embryo maturation and gestation support systems, using scientific methods to conduct experiments, analyze data, and design biomedical devices in a collaborative environment. This role supports conservation efforts through innovative advancements in technology.

Lead the integration of human genetics data with phenotypic and omic data for target discovery in therapeutic areas. Collaborate with multidisciplinary teams and contribute to insitro's long-term therapeutic strategy. Apply cutting-edge machine learning and statistical genetics techniques to advance therapeutic programs.

The AVP Data Science Digital Analytics role involves leading modeling and analytic strategies for digital marketing, developing campaign strategies, and using data to optimize communication outcomes. Responsibilities include working with SQL and Python for data analysis and modeling, collaborating with teams, and improving the customer journey through advanced analytics.

As the Manager of Data Science, you will lead a team of data scientists, manage data-driven projects from inception to deployment, and collaborate with cross-functional partners to address business challenges through advanced analytics and optimization techniques. You will oversee experiment design and ensure alignment with business goals while staying updated on industry trends.