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 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.
Featured Jobs
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 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.
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to drive insights from large datasets, develop AI solutions, and collaborate with clients on their business challenges. Your responsibilities will include building analytical models, document business processes for AI opportunities, and managing data interpretation to inform decisions.
Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Sr. Data Scientist, you will utilize interdisciplinary approaches to extract meaning from large datasets, develop data models, and communicate findings while collaborating with teams to address complex analytic questions. You will also be responsible for translating technical requirements and making informed recommendations regarding technical solutions.
The Data Science Manager - Procurement leads advanced analytics initiatives to improve procurement efficiency and decision-making. Responsibilities include developing analytics programs, aligning risk management strategies with business objectives, integrating AI technologies, and fostering a culture of innovation and collaboration within the team.
The Data Science and AI Manager will lead the development of advanced analytics solutions utilizing NLP and AI to enhance healthcare operations and patient care. This role includes mentoring a team, delivering complex data science projects, and collaborating with various departments to drive data-driven solutions. Responsibilities also involve predictive modeling, data analysis, and ensuring compliance with data regulations.
The Data Scientist will develop and manage dashboards to provide insights into Cargomatic's financial performance, conduct financial data analyses, and collaborate with different teams to support decision-making. Responsibilities include dashboard development, data analysis, cross-functional collaboration, and predictive modeling.
Join Glean's world-class Data Organization as a Data Scientist based in Palo Alto. Collaborate with cross-functional teams to define data assets, improve KPIs, and maintain quantitative frameworks. Address business domains related to product-led user growth strategies and generative AI products.
The Senior Associate will drive data-driven transformation strategies, function as part of a data science team on AI and machine learning initiatives, and solve complex business challenges through data manipulation, modeling, and predictive analysis. The role also involves building scalable data pipelines, documenting work, and mentoring talent.
The Director, Data Science leads a data science team to leverage customer and campaign data for actionable insights, algorithms, and solutions in marketing. Responsibilities include applying machine learning techniques, data engineering, managing client projects, and building a team of data scientists.
As a Data Scientist at HUMAN, you will partner with various teams to enhance bot detection, develop statistical detection techniques, lead projects, and contribute to the Data Science culture and standards within the company.
The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.
Lead a team of data scientists in delivering advanced statistical techniques and machine learning solutions for underwriting and operations. Collaborate with partners to drive analytics into products, enhancing decision-making and improving business outcomes. Present insights to executives and influence strategic decisions, while also guiding team development and recruitment efforts.
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