Top Data Science Jobs

The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.

As a Lead Data Scientist, you'll oversee project execution, collaborate with teams, and design complex machine learning models. You will ensure the delivery of scalable data science solutions and mentor the team while aligning initiatives with business goals.

As a Staff Data Scientist at Coinbase, you will lead pricing experimentation, develop pricing models, initiate data pipelines, and provide insights for the pricing strategy while collaborating with stakeholders and communicating findings to leadership.

The Senior Data Scientist will analyze complex data sets, deliver actionable insights, and develop strategic plans. Responsibilities include managing databases, applying statistical analyses, and collaborating with teams to address data-related challenges.

The Principal Scientist in Bioinformatics Data Science leads data analytics and engineering projects aimed at accelerating R&D. They apply computational methods, AI, and machine learning to integrate and analyze diverse datasets for therapeutic development, collaborating with biology and platform teams. Responsibilities include developing computational workflows and contributing to scientific presentations.

The Data Science Developer analyzes large datasets, develops machine learning algorithms, collaborates with medical professionals and software engineers, designs software tools for medical image processing, implements deep learning architectures, and ensures compliance with regulatory standards.

As a Data Scientist at Figma, you will work closely with product teams to utilize data science methodologies to influence product strategy, enhance user experience, and optimize product development. Responsibilities include leveraging machine learning, designing experiments, and collaborating with cross-functional teams to analyze user behavior and inform decision-making.

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.