Top Data Science Jobs

The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.

The Data Science Analyst Program involves collaborating with teams to deliver innovative data science solutions that address business challenges. Interns will gain hands-on experience in machine learning and analytics within a data-driven environment for JPMorgan Chase.

As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.

As a Data Science Analyst Intern, you will use your technical skills to create innovative solutions and work on projects involving machine learning, data engineering, and visualization. The role emphasizes collaboration and delivering impactful solutions for clients, with mentorship opportunities throughout the 10-week program.

As a Summer Associate in the AI & Data Science program, you will work on cutting-edge research in machine learning, collaborating with traders to drive data-led transformations. Your role will involve applying deep learning and other advanced techniques, supported by mentorship and project work.

The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.

The Strategic Data Science Lead drives data-driven initiatives and strategic planning through data collection, analysis, model development, and stakeholder engagement. This role includes developing AI/ML models, conducting feasibility analyses, and collaborating with cross-functional teams to align on strategic objectives.

As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.

The Data Science Manager at DMG leads the development of analytical frameworks and decision support tools to enhance understanding of content performance. Responsibilities include building statistical models, analyzing data trends, partnering with technology teams, and mentoring junior members. The focus is on leveraging advanced analytics to inform business strategies and improve overall performance.

As a Data Science Engineer at PrizePicks, you will develop and maintain streaming data and MLOps infrastructures, ensuring data reliability and quality for pricing models. Collaborate with data science, engineering, and product teams to operationalize data science assets and deliver real-time market offerings.

The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.

Join JP Morgan Asset Management's Data Science team to enhance investment processes using cutting-edge machine learning in a collaborative environment.

As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage analytical techniques to extract insights from data, build AI/GenAI solutions, and collaborate with clients to understand and address their business challenges. Responsibilities include model development, data processing, and managing client engagements to deliver high-quality results.

The role involves leading AI and GenAI data science projects, mentoring team members, and engaging with clients to deliver data-driven solutions. You will analyze business processes, develop AI solutions, and manage both structured and unstructured data for AI applications, focusing on quality and effective collaboration.

The Data Science Manager at Garner will develop care navigation algorithms and analytics, while leading a team of 4-6 data scientists and analysts. Responsibilities include managing projects within the Data Science Guild and contributing to the healthcare mission by driving data-driven insights.

As a Senior Associate in the AI & GenAI Data Scientist role at PwC, you will leverage advanced analytics and data manipulation techniques to solve complex business problems for clients. You will collaborate with teams to build AI solutions, document business processes, and design AI architectures, while supporting daily operations and delivering quality insights.

As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to extract insights from large datasets, collaborate with clients to solve complex business problems, and develop AI solutions. Responsibilities include model development, data processing, and managing client relationships while guiding the data analytics team.