Top Data Science Jobs
Senior Data Scientist role in Capital One's AI Training Team, leading disruption with computing and machine learning technologies. Partner with cross-functional teams to deliver AI products, leverage Python, PyTorch, AWS, and more for data analysis, and translate complex work into business goals. Ideal candidate is innovative, technical, statistically-minded, and a data guru. Requires Bachelor's/Master's/PhD plus 9 years of experience, proficiency in open-source programming languages, machine learning, and relational databases.
Senior Data Scientist role at Capital One's AI Training Team, working on AI-powered products using Python, PyTorch, AWS, and more to analyze vast amounts of data. Requires expertise in data analytics, machine learning, and relational databases.
Join Capital One's AI Training Team as a Senior Data Scientist. Partner with a cross-functional team to deliver AI-powered products, leverage technologies like Python and PyTorch to analyze huge volumes of data, and translate complex work into business goals. Ideal candidate is innovative, technical, statistically-minded, and a data guru. Requires Bachelor's Degree plus 9 years of experience or a Master's Degree plus 7 years of experience in data analytics.
The Business Analytics Senior Data Scientist will manage strategy and operational insights for a global services function within the Commercial & Investment Bank. Responsibilities include defining key metrics, managing analytics projects, partnering with senior leaders, and developing strategic initiatives. Required qualifications include 4+ years of experience in Analytics, Information Systems, or Management Consulting, strong quantitative skills, and hands-on experience with tools like SQL, Python, and Tableau.
Join a talented and diverse group of analysts driving strategy and innovation in Chase Consumer Bank's Marketing Analytics team. Analyze campaign performance, conduct ad hoc analysis, and optimize strategies for marketing campaigns. Present results to stakeholders and senior management and collaborate with marketing managers to enhance campaign effectiveness.
Join as an Applied AI ML Senior Associate in the Business Modeling organization responsible for developing cutting-edge models in Marketing, Finance, and Operations domains. Utilize advanced analytics to solve complex business problems, generate actionable recommendations, and contribute to the full modeling lifecycle. Required skills include proficiency in Python, SQL, and experience in machine learning, optimization, and statistical modeling.
Ellevation is seeking a Data Acquisition Specialist to configure and facilitate consistent and reliable connections to data sources, work directly with partners to troubleshoot data issues, and collaborate with internal teams for data integration processes.
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A Principal Data Science and Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems, building data pipelines, and collaborating with Product Managers and UX Designers. Must have extensive experience in building production machine learning systems and expertise in Python, TensorFlow, Tableau, MySQL, SQL.
Join Arcadia's Analytics team to create high-value analytics for enterprise customers, utilize data models, and collaborate with various teams. Bring healthcare analytic experience and expertise to drive strategic decisions in improving healthcare delivery. Opportunity to work with diverse data sets and transform data for actionable insights.
Senior Machine Learning Modeler role at Cash App's Financial Crimes Technology team. Responsibilities include building classification models, leveraging diverse data sets, deploying AI solutions, and collaborating with stakeholders. Requires 4+ years of ML modeling experience and a Bachelor's degree in a related field.
Senior Data Scientist role at Roblox focusing on Creator Success team. Responsible for using data and insights to improve growth, providing technical mentorship, accelerating product development, defining metrics, evaluating experiments, and influencing creator velocity.
The Scientist II position at Novo Nordisk in Boston involves providing technical leadership in in vivo workflows, identifying and validating new drug targets, advancing novel therapies, and developing technologies to accelerate scientific research. The role also includes representing the organization to the external scientific community and collaborating with internal and external stakeholders.
Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
The Staff Machine Learning Engineer will be responsible for developing innovative data solutions at Chime. They will work across teams to meet the data-related needs of various business domains and provide strategic leadership. The ideal candidate will have proficiency in data analysis, statistics, machine learning, and software engineering.
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