Top Remote Senior Level Data Science Jobs

As a Senior Data Scientist, you will leverage organizational data for insights that enhance user experiences and boost business efficiency. Key responsibilities include developing predictive models, deploying advanced analytics solutions, and collaborating with cross-functional teams to solve complex transportation challenges. The role emphasizes creativity, problem-solving, and a deep understanding of business needs.

The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.

The Senior Data Scientist at Cohere Health is responsible for conducting data analysis to support product and leadership decisions, exploring healthcare and product usage data, and developing models to evaluate the impact of health outcomes. They will collaborate with teams to develop project requirements, present data-driven insights, and propose strategies to enhance healthcare services.

The Senior Credit Manager/Senior Staff Data Scientist will analyze data to propose credit risk strategies for lending products, specifically focusing on Personal Loans. Responsibilities include developing underwriting strategies, monitoring risk trends, collaborating with cross-functional teams, and driving value through data-driven decision-making.

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 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.

The Senior Technical Curriculum Developer will create engaging technical learning content for customers, including hands-on labs and certification programs. They will collaborate with engineering and product teams, evaluate training needs, improve existing courses, mentor junior members, and utilize SQL and scripting for reports and data handling.