Top Data Science Jobs in Boston, MA
As a Senior Data Scientist at Square Banking, you will be responsible for shaping and executing strategies to expand credit eligibility, enhance loan profit, and improve the banking user experience on a global scale. Responsibilities include partnering with cross-functional teams, leading A/B testing, and designing business metrics for success.
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.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the ServiceNow roadmap. Build elegant architectures and reusable components for AI-powered work experiences. Champion AI strategies and industry trends to shape AI-driven initiatives at ServiceNow.
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.
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Senior Data Scientist role in marketing, responsible for evaluating marketing measurement, developing quantitative models, analyzing customer behavior, and optimizing marketing campaigns. Must have 5+ years of experience in analytics and proficiency in SQL, R, Python, and statistical analysis.
Join Square as a Senior Data Scientist in the Fraud Risk team. Use data-driven solutions to identify and prevent fraud & credit risks, manage key metrics, and influence Risk road map. Partner with various teams to create innovative risk solutions and drive business growth.
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.
As a Director in the Products & Technology Risk and Quality team at PwC, responsibilities include managing technology and data risks, analyzing marketplace trends, developing networks, and upholding business conduct. The role requires strong communication, critical thinking, and decision-making skills, impacting the firm's revenue and reputation.
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.
The Senior/Principal Data Scientist - Computational ADME will contribute to the Small Molecule Digital Chemistry team's effort towards improved understanding of ADMET biological endpoints through research and development of in silico models. They will have knowledge and experience in ADME data analysis and modeling, advanced computational modeling methods, and small molecule project support. The role involves implementing complex workflows, generating predictive ML/AI models, and performing multi-objective optimization of small molecules.
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