Top Data Science Jobs

The Data Scientist will improve organizational performance by applying innovative analytic methods to business problems. They will work with stakeholders to identify opportunities for analytics models, design and develop solutions, and collaborate with Data Engineers on data sourcing and infrastructure needs. The role also involves fostering data science capabilities within business functions and requires strong team-building and creative thinking skills.

The Senior Data Science Engineer will develop data solutions, collaborate with teams, oversee algorithms for data analysis, and support junior engineers. Responsibilities include managing scalable data processing platforms and making informed decisions while contributing to business goals.

The Data Science Manager will lead a team of data scientists to provide insights that drive growth and enhance the user experience. Responsibilities include managing team performance, developing actionable plans from business challenges, and communicating analytical findings to stakeholders. Emphasis on collaboration and innovation is key.

The Sr. Data Science Solution Architect leads the vision and solution delivery for healthcare data projects, providing technical leadership in machine learning and AI. Responsibilities include architecture design, model development, and collaboration with cross-functional teams to ensure successful implementation of AI-driven solutions in healthcare workflows.

The Sr. Data Science Consultant provides analytics consultation, utilizing advanced statistical analyses and machine learning. Responsibilities include mentoring team members, working with current technologies, and communicating complex concepts to non-technical audiences.

Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and developing predictive models. The role involves analyzing data to reduce drug spend, increase medication safety, and maximize staff productivity in hospital pharmacies.

Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and creating predictive models to enhance medication management for healthcare providers. The role involves hands-on work with algorithms, data quality, automating reporting, and coaching the data science team. The candidate should have experience in data science, machine learning, visualization, SQL, AWS ML technologies, and data lakehouse architecture.

Oscar is hiring a Senior Manager, Data Science to lead a team of data scientists in leveraging data for enhancing healthcare services. Responsibilities include translating business goals into plans, managing a team, and collaborating with cross-functional teams. The role offers a salary range of $174,400 - $228,900 per year and is based in New York City, Tempe, or Los Angeles with remote options available for residents of specific states.

Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.

Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

The Senior Data Science Engineer will develop, test, and productionize machine learning models, optimize data delivery processes, and build infrastructure for data extraction and analysis. Responsibilities include model performance testing, algorithm improvements, and collaboration with cross-functional teams.

The Lead Data Scientist at CoinFlip will develop the vision and strategy for data science initiatives, lead a high-performing team, and collaborate across functions to apply data science for business growth and efficiency. Responsibilities include overseeing the full ML/AI development cycle and mentoring team members.

The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

The Data Scientist will identify valuable data sources, automate collection processes, analyze complex datasets to identify trends, develop databases that optimize statistical efficiency, and help improve team collaboration. Responsibilities include maintaining knowledge of tech trends, assisting teammates, and evaluating new tools.