Top Data Science Jobs
BAE Systems is seeking a Microwave/Mixed-Signal/Photonic Integrated Circuit Scientist to join their FAST Labs research group. The ideal candidate will develop custom IC solutions for DoD systems, drive research cycles, contribute to team projects, and lead research activities. Candidates can collaborate across diverse teams, lead circuit designs, contribute to technical reviews, and potentially work from various BAE locations or fully remote.
Grainger Technology Group is seeking a Manager of Applied Machine Learning to build scalable ML models for customer data insights and sales team effectiveness. Responsibilities include building predictive models, deploying ML endpoints, and collaborating with cross-functional teams.
Lead teams in driving strategic direction through collaboration with Applied Science, Engineering, and Product leaders. Partner with cross-functional team to deliver AI-powered products, build AI foundation models, engage in high impact applied research, and translate complex work into tangible business goals.
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.
Senior Data Scientist role at Capital One's AI Training Team involving partnering with cross-functional teams, leveraging technologies to analyze large volumes of data, and translating technical work into business goals.
Featured Jobs
Looking for a Data Scientist to join the Risk Data Science and Analytics Team at Square. Responsibilities include improving risk controls, advising senior stakeholders, and building processes to detect high-risk activity. Key tasks involve diagnosing problems, designing experiments, developing data pipelines, and collaborating with cross-functional teams to drive data-driven solutions. Qualifications include a BS/BA in a related quantitative/technical field, 8+ years of experience, proficiency in SQL, Python, Looker, and strong statistics and machine learning knowledge.
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.
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 Square as a Senior Data Scientist in the Payment Risk team. Enhance risk controls, manage metrics, and advise stakeholders on risk controls. Lead fraud prevention efforts and develop machine learning solutions. Partner with various teams to influence product roadmaps and procedures. Requires 8+ years of experience in statistics, mathematics, or related field, proficiency in SQL, Python, and Looker, and strong knowledge in statistics and machine learning.
Seeking a Data Scientist to drive consumer engagement, conversion, and overall optimization of the consumer's journey for emerging product and service areas. Responsibilities include developing KPIs, delivering data-driven analyses, and partnering with product and engineering teams. Requires a Master's degree in Business Analytics or related field and proficiency in SQL, machine learning, and data analysis.
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.
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.
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