Top Senior Level Data Science Jobs in Boston, MA
As a Senior Data Scientist at Square Banking, you will shape and execute strategies to expand credit eligibility, enhance loan gross profit, and improve banking user experience globally. Responsibilities include influencing product roadmap, leading A/B testing, and designing business metrics for success.
The Staff Applied Research Scientist at ServiceNow will play a major part in building next generation Large Language Models for Enterprise Language Generation that will power the NOW platform with AI experiences in the day-to-day work of customers. Responsibilities include using AI/ML expertise to solve real-world challenges, proposing appropriate models, collaborating with a team to produce quality software, and delivering high-impact solutions to users. Requires a minimum of 8 years of related experience.
Conduct advanced research and modeling to solve strategic HR challenges, improve employee experience, design and execute research studies, develop employee surveys, analyze survey data, apply network analysis methods, create psychometric assessments, implement data-driven strategies, provide research insights to executives, analyze large datasets, and stay up-to-date with trends in people analytics.
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Lead Data Specialist supervising a team within Data Management, managing day-to-day operations, interacting with internal study teams and sponsors, ensuring database integrity, and executing SQL data scripts.
As the Data Science Manager for the Health team at WHOOP, you will lead and manage a team of data scientists and research scientists. Your responsibilities include people management, program management, resource allocation, roadmapping, dependency management, team support, and communication. You will play a critical role in driving impactful data science projects crucial to the company's success.
Design and implement solutions to address complex business questions using statistical methods and machine learning. Contribute to data solutions, supervise performance tracking, and advise junior team members. Balance scientific validity and business practicality in your work.
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.
Looking for a Principal Toxicologist to lead the siRNA nonclinical development toxicology strategy and implementation, oversee toxicology studies, and support drug development decisions for new siRNA-based therapies in various disease areas.
Passionate Data Scientist needed to work on pharmacoepidemiology studies, collaborate with external Pharma partners, translate research into actionable insights, and stay up-to-date with methodological advances. Build infrastructure, comply with regulations, and possess strong data manipulation, analysis, and communication skills. Ideal candidates have a self-driven attitude, familiarity with machine learning techniques, and experience in cancer genetics or related fields.
Shape and grow ZS's AI capabilities in pharmaceutical discovery, work closely with clients to sell and deliver high-impact projects, lead a team of data scientists, develop and lead AI offerings in research, present results at industry conferences and in journals.
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