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Top Data Science Jobs in Boston, MA
The Machine Learning Engineer III will drive the technical strategy for Chewy's new Sponsored Advertising team, focusing on enhancing product search, ranking, prediction, and auction dynamics. Responsibilities include deploying machine learning models, collaborating with product leaders, leading projects from ideation to production, and mentoring junior scientists.
As a Staff Data Scientist at ezCater, you will lead the design and deployment of data science models to enhance business operations. Responsibilities include mentoring teams, developing predictive models, analyzing large datasets, and guiding A/B testing experiments to improve customer engagement and retention.
The Senior Applied Scientist will drive technology-driven business impact through machine learning and data science in advertising. Responsibilities include deploying models, collaborating with product and engineering teams, mentoring junior scientists, improving ad solutions, publishing research, and communicating findings to stakeholders.
As a Data Science Co-op at Jellyfish, you will develop algorithms, contribute to blog posts, learn to create machine learning models, and perform analyses to enhance client understanding of their development processes. This role combines hands-on programming and collaborative teamwork within a dynamic environment.
The Staff Data Science Tech Lead will design, develop, and implement machine learning algorithms to analyze human behavior and physiology, working with a team of data scientists and collaborating with product teams and clinical researchers. Responsibilities include managing projects, conducting research, mentoring junior staff, and maintaining production services.
As the Director of Data Science & Analytics, you will lead a team in driving data strategies, utilizing advanced analytics and machine learning to identify insights and inform decision-making across sales, marketing, and operations. You will collaborate with teams to optimize Amazon marketplace strategies and report performance metrics to senior leadership.
As a Data Science Manager, you will lead the development of ML-based products, architect AI solutions, and solve complex business challenges. You will work with a team of scientists and engineers, engage client leaders, and contribute to firm strategy in AI. Your role includes research, solution delivery, and talent development.
The Director of Data Science will lead a team focusing on machine learning to enhance customer and advertiser experiences on the Chewy Ads platform. Responsibilities include developing ML solutions for product ranking and selection, collaborating with engineering to optimize advertising algorithms, leading model development from ideation to production, and mentoring junior scientists.
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As a Senior Manager of Data Science, you will lead a team in building machine learning models to enhance credit underwriting and support business strategies. You'll collaborate with data scientists and engineers, leveraging technologies like Python and AWS to extract insights from vast data sets, ultimately aiming to improve customer experiences with innovative solutions.
This role involves leading independent analyses of Tempus data for Real World Evidence studies. The Data Scientist will perform coding to derive real-world endpoints, communicate findings to partners, and collaborate with different teams to enhance data quality and analytical practices.
As a Principal Data Scientist, you will leverage machine learning to analyze vast customer data, develop real-time models predicting customer needs, and ensure data accuracy against fraud while enhancing digital customer experiences.
As a Senior Data Scientist, you'll explore customer clickstream events to identify patterns, develop real-time machine learning models to enhance customer experiences, and ensure data accuracy to combat fraud. You'll work with various teams to guide experiments, influence product improvements, and operate scalable systems serving millions.
As a Data Scientist II on the Sleep Data Science team at WHOOP, you will develop machine learning algorithms to analyze sleep data from various sources, work with MLOps to productionize models, and integrate clinical research into algorithm development.
As an AI & GenAI Data Scientist, you will leverage advanced analytics and machine learning to extract insights from large datasets, develop predictive models, conduct statistical analysis, and create data visualizations. You will also collaborate with clients to understand their challenges and select appropriate analytical approaches to drive business growth.
As a Staff Data Scientist at Chewy, you will develop and deploy machine learning models, create generative AI solutions for marketing, and work collaboratively with cross-functional teams. You'll be responsible for the entire project lifecycle, from ideation to model improvement while effectively communicating insights to stakeholders.
As a Data Scientist at Flipside Crypto, you will create and enhance web3 data products, collaborating with internal teams and the community. Your responsibilities will include data analysis using SQL databases, leveraging R and/or Python for model-building, and helping product teams transition to data-driven approaches while supporting marketing efforts to communicate findings.
As a Data Scientist at Jellyfish, you will collaborate with product teams to design and implement innovative solutions using data analysis, machine learning, and advanced algorithms. You'll focus on enhancing the Jellyfish platform through effective communication, rigorous testing, and continuous improvement of data science models and deployment strategies.
As a Senior Data Scientist at CarGurus, you will implement and train machine learning models, maintain data pipelines, evaluate model performance, and conduct A/B testing. You will collaborate with engineering teams and communicate technical solutions to stakeholders.
As a Senior Data Scientist at Cohere Health, you will analyze healthcare data, develop research questions, and collaborate with teams to provide insights and recommendations. You will be responsible for data collection, milestone setting from a data science perspective, and presenting findings using data visualization techniques to inform product development and improve patient outcomes.
The Data Scientist II will develop data solutions for Chewy's Customer Care teams, handling data collection, exploratory analysis, and machine learning model construction. Responsibilities include ensuring data integrity, building visualizations, and collaborating with teams to translate business needs into data-driven solutions.
As a Principal Data Scientist, you'll collaborate with a diverse team to develop AI-powered products by utilizing advanced technologies. Your responsibilities include leveraging insights from vast data volumes, communicating complex data science concepts into business objectives, and applying state-of-the-art machine learning techniques throughout the model lifecycle.
The Senior Data Scientist will drive innovation in data analysis, predictive modeling, and operational efficiency. Responsibilities include participating in data science projects, communicating findings to stakeholders, and conducting various analyses to optimize dispatch operations and improve customer satisfaction. Key projects may involve developing ETA prediction models and leveraging extensive datasets for insights.
As a Principal Data Scientist at Capital One, you'll lead research and development of machine learning technologies, build and operationalize models to enhance customer experiences and business outcomes, and collaborate with product and engineering teams across the organization.
As a Senior Data Scientist, you will research and develop machine learning models, focusing on self-supervised learning and behavioral modeling, while partnering with engineering teams to operationalize these models in production systems. Your role involves conducting experiments to improve customer experiences across various domains and communicating findings to non-technical audiences.
The AI & GenAI Data Scientist will leverage advanced analytics techniques to provide insights from large datasets, focusing on AI and Generative AI solutions. Responsibilities include model development, client collaboration for problem-solving, and data processing for LLMs. The role involves managing client relationships, documenting business processes, and supporting analytics operations.
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