Top Senior Level Data Science Jobs

As a Senior Data Scientist at Tovala, you will develop demand models, design causal models, and use simulation techniques to support strategic decisions. You'll collaborate with analysts to create actionable solutions, optimize models for efficiency, and contribute to data governance and strategy, while managing multiple simultaneous projects.

Seeking a Senior Scientist to lead feasibility efforts with novel concepts and chemistries, drive wet-lab research projects, mentor junior scientists, and contribute to the development of new products in the field of single-cell genomics and bioinformatics.

The Senior Business Intelligence Analyst will drive strategic decision-making by working with stakeholders to identify trends, generate insights, develop reporting suites, create forecasting models, and perform ad hoc analyses. They will collaborate with data analysts and engineers to ensure accurate data is available and lead cross-functional projects.

Seeking an experienced Senior Data Scientist to lead client-facing project delivery, develop advanced machine learning models, and drive data-driven decision making. Responsibilities include identifying AI-ready use cases, designing and implementing ML models, collaborating with teams, leading projects, and educating stakeholders. Qualifications include a Bachelor's or Master's degree in a related field, 5 years of data science experience, proficiency in Python and relevant libraries, and experience with cloud platforms and ML algorithms.

As a Lead Data Scientist, you will extract insights from large datasets and develop predictive models. You will drive data-driven decisions, collaborate with teams to identify opportunities, and solve complex problems by applying statistical techniques and machine learning algorithms.

The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.

The Data Scientist III will process and analyze healthcare data, maintain and optimize data pipelines, and improve the team's codebase while collaborating with experts in causal inference to evaluate product impacts and perform business analytics.