Top Data Science Jobs

As a Manager Data Science, you'll lead teams to build machine learning models and leverage data insights for customer-focused solutions while driving innovation and talent development.

As a Data Science Manager at Capital One, you will lead a team to deliver machine learning solutions, partner with cross-functional teams, and transform complex data insights into actionable business goals.

The Manager of Data Science will lead the development of analytics products and drive insights using machine learning and statistical techniques to impact business outcomes, collaborating with various teams.

The Sr. Data Scientist will analyze complex datasets, develop predictive models, and communicate insights to inform decision-making, while requiring extensive experience in data science methodologies and relevant programming languages.

Lead a team of data scientists, collaborate on data-driven solutions for credit risk modeling, optimize application funnels, and implement analytics strategies.

Lead a team of data scientists to develop and implement advanced machine learning models, improving search and content generation capabilities for the Sportsbook industry.

Lead and implement data science models and algorithms to optimize supply chain solutions. Collaborate with cross-functional teams to improve processes and drive business insights using large datasets.

The Senior Data Scientist will provide technical expertise on mission-critical projects, focusing on large data analysis, machine learning, and data visualization while collaborating with teams and maintaining software systems.

The Principal Data Science role involves leading Finance Analytics initiatives, applying advanced analytics and machine learning to improve decision-making for home and personal loans, and collaborating with cross-functional teams to deliver insights and performance tracking.

As a Data Scientist, you will extract value from large datasets, perform statistical analyses, and communicate findings to non-technical audiences. You'll employ various data modeling and visualization techniques while ensuring compliance with federal security requirements.

Develop and implement machine learning and analytical algorithms for large datasets, ensuring technical requirements meet mission needs, and communicate findings effectively.

The role involves developing algorithms, conducting statistical analyses, collaborating with clients, mentoring associates, and contributing to thought leadership in data analytics.

The Data Scientist 2 will analyze large datasets using mathematical, statistical, and computational techniques, developing methods for data processing and modeling while effectively communicating findings to non-technical audiences.

The role involves extracting and analyzing large datasets, developing models, communicating results to non-technical audiences, and ensuring data quality for federal agency missions.

Lead AI research and development, focusing on machine learning solutions, collaborating with teams, and developing product strategies for advanced R&D projects.

The Data Scientist 2 at Wyetech develops strategies for extracting value from large datasets, conducts statistical analyses, and communicates findings effectively. This role requires strong skills in data processing, modeling, and a solid understanding of advanced mathematics and programming.

As a Data Engineering Specialist, you'll design and maintain data pipelines, collaborate with experts, and develop data architecture strategies for mission-critical decisions.