Top Hybrid Data Science Jobs

As a Senior Scientist in R&D at Clif Bar, you will lead and coordinate new product development and maintain existing portfolios. You will manage technical projects, conduct pilot plant trials, and utilize consumer insights for product innovations, while also handling stakeholder communications and ensuring compliance with quality standards.

The Data Science Manager will lead the development of analytical frameworks, build decision support tools, and analyze audience behavior. Responsibilities include creating statistical models, applying advanced analytics, and collaborating with technology teams to enhance data projects, driving insights to inform business strategies across different domains of the Disney Music Group.

The Senior Business Intelligence Analyst role at Klaviyo involves analyzing data to drive business decisions, building models, and presenting findings to key stakeholders. Responsibilities include maintaining data environments, performing hypothesis testing, creating analysis frameworks, and contributing to predictive models. The ideal candidate should possess a quantitative background and strong analytical skills.

The Senior Business Intelligence Analyst at Klaviyo will analyze data to drive business impact and build models while maintaining data environments. They will conduct hypothesis testing, create analysis frameworks, and interact with various departments to present findings and recommendations. The role requires a quantitative background and experience with analytical tools.

You will lead growth data science efforts to enhance user growth, collaborate with marketing and product teams, analyze customer behavior, design experiments, and create reporting dashboards to track marketing effectiveness.

The Analyst, Revenue Strategy will support the Enterprise Sales team through reporting, forecasting, RFP analysis, and strategy planning. This role involves analyzing revenue trends, maintaining data tracking methodologies, building reporting templates and dashboards, and conducting marketplace analysis to identify revenue opportunities.

As a Research Scientist at Kensho, you will develop state-of-the-art NLP models, contribute to collaborative research projects, and share your findings. You'll work with techniques for large data processing and evaluate new directions in machine learning. Your role focuses on innovative problem-solving and iterative collaboration with a team.

As a Lead Data Scientist, you'll build and optimize models to assess credit risk, predict customer churn, and enhance marketing spend efficiency. You'll work with structured data, collaborate with cross-functional teams, and monitor model performance for ongoing improvements.