Top Data Science Jobs in Boston, MA
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.
Building next generation Large Language Models for Enterprise Language Generation, applying AI/ML expertise to solve real-world challenges, collaborating with a team of developers and researchers, and contributing to the design and scaling of AI-first platform offerings at ServiceNow.
As a Distinguished Architect at ServiceNow, you will be a leader in architecting and incorporating Intelligence into products. Responsibilities include collaborating with engineering and product teams, building elegant architectures, architecting reusable components, influencing leadership, performing competitive analysis, and sharing thought leadership at AI and technology conferences.
Lead a growing team of Data Scientists and Machine Learning Engineers to create AI models that drive ServiceNow's growth. Define strategies, implement AI use cases, solicit requirements, build models, and teach business teams about the models.
Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems.
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Lead Data Science Engineer responsible for developing advanced machine learning models, optimizing marketing strategies, collaborating with marketing teams, and integrating data science solutions into production systems. Communicate findings to influence strategic decision-making.
Design, develop, and implement machine learning models for various applications. Research and implement state-of-the-art machine learning algorithms. Design and implement cloud architectures for machine learning workflows. Collaborate with cross-functional teams to deliver effective solutions.
Develop advanced algorithms, execute statistical techniques, evaluate datasets, contribute to thought leadership, possess strong programming skills, and have expertise in machine learning and big data concepts.
Develop data-driven features to provide personalized coaching experience, collaborate with cross-functional teams, mentor teammates in ML and AI research, create exceptional member experiences through ML and AI models, promote best practices in ML model development, and lead technical initiatives at WHOOP.
Our Data Science Large Language Models team uses advanced generative AI technologies to create powerful features within the Datadog application.
The Principal Toxicologist will be responsible for providing scientific expertise in toxicology within the siRNA Nonclinical Development department. They will contribute to the nonclinical development process of new siRNA-based therapies targeting various diseases and collaborate with cross-functional scientific teams. The role involves leveraging proprietary siRNA technologies to address challenging medical conditions.
Partner with a cross-functional team to deliver AI-powered products that change how customers interact with their money. Build AI foundation models through all phases of development. Engage in high impact applied research to push the latest AI developments into the next generation of customer experiences.
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