Top Senior Level Data Science Jobs

The Principal Scientist in Manufacturing Analytical leads R&D and Quality cross-functional collaborations to develop rapid analytical testing solutions for food products. This role involves designing and implementing complex analytical instrumentation methods and data analysis to improve factory processes. Leadership and communication skills are essential for managing projects and influencing teams.

As a Senior Data Scientist, you will analyze complex data sets related to private markets and alternative investments, develop models, create visualizations, and collaborate with teams to build data-driven products. You will also leverage advanced SQL and work with unstructured data to extract insights.

The Senior Consultant/Engineer will deliver complex solutions in areas like analytics and data strategy, manage client engagements, and oversee project budgets. The role requires strong technical skills in SQL and data modeling, along with business acumen in managing client expectations and relationships.

As a Senior Data Scientist, you will develop and enhance software solutions for short-term rental hosts using machine learning and data analysis to improve decision making, optimize pricing, and enhance guest experiences. You'll collaborate with cross-functional teams to define product requirements and ensure effective delivery of insights-driven tools.

The Senior Scientist in Life Science and Research Analytics will leverage a multimodal database for conducting complex computational analyses to provide actionable insights affecting patient care and drug development. Responsibilities include managing projects, leading teams, communicating scientific findings to stakeholders, and enhancing research methodologies.

The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.