Top Senior Level Data Science Jobs in Boston, MA
Join Cash App as a Staff Data Scientist to lead the programmatic ads business. Build models, analyze data, optimize marketing efforts, and drive strategic decisions. Collaborate with cross-functional teams to enhance customer experience and drive growth. Utilize advanced statistical and mathematical modeling techniques to understand customer behavior and segments.
Our Boston Research & Development hub, anchored in the greater Boston area, brings together the best minds in life science innovation. The teams located in facilities in Lexington, Watertown and Cambridge reflect the full R&D continuum, from early research through late-stage clinical development. Here, we are building for the future, creating a distinct R&D community based on collaboration, partner...
Join Capital One as a Principal Data Scientist specializing in Natural Language Processing (NLP) to develop AI powered products that revolutionize customer interactions with their finances. Collaborate with cross-functional teams to build and deploy cutting-edge AI solutions for the award-winning mobile app. Utilize advanced technologies to extract insights from large volumes of data and enhance customer experiences through NLP and machine learning models. Lead innovation, challenge the status quo, and drive talent development in the AI/ML space.
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The Principal Data Scientist will be the primary analytics partner to the Community & Learning team at Atlassian. They will influence strategy, define department-level goals, lead high impact projects, and foster a world-class Data Science culture.
Skillsoft is seeking a Sr Prin, Content Development for Environmental Health and Safety. The role involves providing sales support and technical strategy for ESH Compliance Solution while cultivating relationships with customers and driving positive cultural change through compliance training. Responsibilities include serving as an in-house workplace safety expert, enhancing Skillsoft's thought leadership, and developing product roadmap for ESH Compliance Solution.
The Data Scientist at PwC will collect domain context, define hypothesis and prediction tasks, develop models, conduct experiments with algorithms, validate and test models, automate training and predictions, identify insights, and communicate model outputs with stakeholders. Responsibilities also include problem-solving, leadership, and specialized expertise in technology.
The Staff ML Generative AI Scientist will be responsible for designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms for healthcare applications. This role involves collaborating with cross-functional teams, conducting research, designing and developing AI models, evaluating their performance, and translating findings into practical solutions. The ideal candidate should have expertise in generative AI, healthcare, and experience in model design and evaluation.
As the Data Science Technical Lead for Sleep at WHOOP, you will develop and maintain algorithms for sleep tracking and analysis, collaborate with MLOps engineers, conduct research on sleep physiology, and mentor other data scientists. Bachelor's degree and 5+ years of experience required.
Join our Risk Data Science and Analytics Team to improve risk controls using statistical and analytical techniques. Lead experiments to prevent fraud and impact success metrics by developing machine learning solutions. Partner with cross-functional teams to influence product roadmaps and procedures. Must have 8+ years of experience and expertise in SQL, Python, Looker, statistics, and machine learning.
Lead a team of data scientists to partner with marketing, sales, growth, and product teams to drive business growth through data-driven insights and analytics techniques. Develop quantitative models, automate reporting, evaluate marketing measurement techniques, and identify opportunities for optimization. Establish scalable data foundations and execution standards for long-term growth. Translate complex concepts into actionable insights for the business.
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