Top Data Science Jobs in Boston, MA
Seeking an enthusiastic leader to bridge the gap between data science advancements and regulatory/policy landscape. Responsible for leading external engagements to advance innovative data science methodologies and ensure alignment with global regulations and policies. Must advocate for acceptance of innovative methodologies and position company as a leader in the use of emerging technologies such as AI and machine learning in pharmaceutical landscape.
Lead the evaluation of digital/data assets for Novo Nordisk's external innovation and acquisitions, develop and implement a comprehensive strategy for evaluating and acquiring digital assets, collaborate with internal stakeholders, manage relationships across different functional teams, and work with stakeholders globally.
The Scientist II will provide technical leadership in complex in vivo workflows, identification and validation of new drug targets, advancing novel therapies, and developing technologies to accelerate scientific research. Will represent the organization to the external scientific community through publication and presentation of research, and through the development, management, and leadership of external collaborations.
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.
As a Marketing Data Scientist at Cash App, you will optimize marketing efforts, analyze campaigns, and partner with the Marketing team to drive business success. Responsibilities include building models, analyzing large datasets, and sharing insights through data visualizations.
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Seeking a Data Acquisition Specialist to configure and facilitate connections to data sources, work with partners to ensure data quality, and troubleshoot data-related issues. Responsibilities include collaborating with partners, configuring data extracts, documenting processes, monitoring data jobs, and responding to customer support issues. Ideal candidate has experience working with customers directly.
Join Arcadia as a Senior Analyst in Analytics to transform diverse data into actionable insights for healthcare improvement. Collaborate with various teams to deliver high value analytics for enterprise customers and contribute to population health expertise.
A Principal Data Science and Machine Learning Engineer responsible for developing robust machine learning algorithms and recommendation systems, transforming data streams, and collaborating with team members to enhance user experiences and metrics.
The Research Chef will be responsible for conducting research and development exploration, testing competitive products, developing recipes, setting KPIs, and staying updated on industry trends. They will collaborate with cross-functional teams to provide a food-first point of view for new product development.
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.
Join Jellyfish Research as a Data Scientist to facilitate data-informed decision-making, collaborate with teams, build algorithms, and work on data platforms and pipelines. Exciting opportunity in a fast-growing business environment led by experienced entrepreneurs.
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.
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