Top Principal Data Scientist Jobs in Boston, MA
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.
Principal Data Scientist position at Capital One's Consumer Identity Machine Learning team. Responsibilities include exploring customer behavior patterns, developing real-time models, ensuring data accuracy, and partnering with business teams. Ideal candidate is innovative, creative, technically proficient, and statistically-minded.
As a Principal Data Scientist at Capital One's Emerging ML team, you will work on cutting-edge technologies such as self-supervised learning, transformer models, and customer behavioral models. You will partner with business and product teams to improve customer experiences and drive business outcomes through data-driven decision-making. The ideal candidate is curious, creative, technically proficient, statistically-minded, and customer-oriented.
Join Capital One as a Principal Data Scientist specializing in AI Foundations and Specialist Models. Work with a cross-functional team to deliver customer-centric products using cutting-edge technologies like Python, Conda, AWS, and more. Build and deploy machine learning models to extract insights from large datasets and translate complex work into actionable business goals.
Principal Data Scientist role at Capital One's LLM Customization Team working on AI-powered products to transform financial services by leveraging NLP and large language models (LLMs) to reveal insights from numeric and textual data. Responsibilities include partnering with cross-functional teams, building NLP models, and translating complex work into business goals.
As a Principal Data Scientist at Capital One, you will partner with a cross-functional team to deliver products, leverage various technologies to reveal insights from data, build machine learning models, and translate complex work into tangible business goals. The ideal candidate is customer-focused, innovative, creative, a leader, technically skilled, statistically-minded, and proficient in handling big data.
Seeking a Data Scientist to support an AI-enabled care pathway intelligence platform in the healthcare industry. Responsibilities include analyzing care pathways data, contributing to algorithm development, and collaborating with internal teams. Requires a degree in related fields and proficiency in SQL, R or Python.
Join Capital One as a Senior Data Scientist on The AI Training Team, working on AI-powered products using a broad stack of technologies like Python, PyTorch, AWS, and more. Partner with cross-functional teams to deliver innovative solutions and unlock insights from large volumes of data. Ideal candidate is innovative, technically proficient, statistically-minded, and a data guru. Requires at least 9 years of experience in data analytics and proficiency in open source programming languages and machine learning.
Featured Jobs
Senior Manager, Data Scientist role at Capital One's Consumer Identity Machine Learning team. Responsible for developing machine learning models, partnering with business teams, and utilizing data to improve customer experiences. Ideal candidate is innovative, creative, technical, and statistically-minded.
As a Senior Manager, Data Science specializing in Specialist Models at Capital One, you will lead a team in developing state-of-the-art machine learning solutions to support data lifecycle within the enterprise. You will collaborate with cross-functional teams to deliver innovative products and leverage a broad stack of technologies to build machine learning models and translate complex work into tangible business goals.
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.
Manager, Data Science role at Capital One's Consumer Identity Machine Learning team, responsible for building machine learning models, partnering with business teams, and analyzing customer data to improve customer experiences and outcomes. Ideal candidate is innovative, creative, technical, and statistically-minded.
As a Senior Lead Data Science Engineer (Personalization), you will drive impactful projects to create the most relevant product in the Sportsbook industry by leveraging data science and analytics. Responsibilities include developing advanced statistical models, collaborating with cross-functional teams, ensuring data quality, and leading a team to innovate with new data-driven approaches.
Seeking a Senior Manager of Data Science to develop a world-class team, build stakeholder relationships, and drive growth using data insights. Responsibilities include tying data science projects to business problems, breaking down projects into milestones, being resilient, and fostering a growth-oriented team environment. Must have 3 years managing a data team, results-driven track record, adaptability, technical proficiency in Python and SQL, understanding of analytical methodologies and statistics, and passion for NLP.
Seeking a Senior Data Scientist to combat high-risk fraud and scams using advanced machine learning and analytical solutions. Responsibilities include fraud detection, data analysis, model building, ad hoc fraud mitigation, reporting, cross-functional collaboration, statistical testing, ETL management, and leadership presentations.
Seeking a Senior Data Scientist to combat high-risk fraud and scams using advanced machine learning solutions. Responsibilities include fraud detection, data analysis, model building, ad hoc fraud mitigation, reporting, collaboration, statistical testing, ETL management, and leadership presentations.
Looking for a Data Scientist with a product and end-user focus to join a cross-functional product development team at Jellyfish. Responsibilities include collaborating with product managers, designing and building innovative experiences, developing algorithms, and measuring impact. Requirements include a product mindset, strong Python and SQL skills, and experience in data science.
The Director of Data Science will lead a team of Data Scientists responsible for utilizing advanced statistical tools, machine learning, and leading-edge technology for disseminating insights largely gathered from omnichannel customer data, product data, and process-generated data.
Manager, Data Science role at Capital One focusing on AI Foundations and Specialist Models. Partner with cross-functional teams to deliver innovative products using machine learning technologies. Develop machine learning models, leverage various technologies, and translate complex work into business goals.
The Principal Data Engineer will play a critical role within the data team by providing technical leadership, implementation expertise, and guiding other data engineers. This role involves collaborating with various teams to build an analytics platform centered around Snowflake and Tableau.
Lead Data Scientist at Klaviyo responsible for spearheading work in new parts of the product, starting with improving automation for SMS Conversations feature. Must be technical, hands-on, and able to collaborate with cross-functional teams. Leadership role with mentorship responsibilities. Weekly hybrid in-office component in Boston, MA.
The Data Scientist II position at Chewy in Boston, Massachusetts involves researching, designing, and implementing predictive models to detect and prevent high-risk fraud. Responsibilities include developing machine learning algorithms, analyzing large datasets, and mentoring junior data analysts. Applicants should have a Bachelor's degree in a related field and 3 years of experience, or a Master's degree and 1 year of experience, with expertise in Python, R, machine learning techniques, data mining, and software design for scalability and performance.
Data Science Manager designing and executing analytic techniques on large data sets to drive client solutions and shape company point of view in the Supply Chain & Manufacturing space. Responsibilities include developing data science capabilities, engaging with senior client leaders, driving business development, and providing thought leadership.
Leader Bank is looking for a Data Engineer to write and maintain data pipelines, analyze large data sets, improve data reliability, and develop analytic tools. The ideal candidate should have a Bachelor's degree in Data Engineering, experience in designing databases and analytical systems, proficiency in Python and SQL, and a passion for problem-solving.
As a Principal Data Scientist II - AI Architect at Seismic, you will lead the AI strategy, develop innovative AI solutions, and collaborate with cross-functional teams to enhance AI product offerings for customers. This role offers the opportunity to drive AI technology initiatives aligning with business objectives.
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