Top Data Science Jobs in Boston, MA

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.

Join our team as a Senior Data Scientist focusing on fraud risk at Square. You will lead risk detection strategies, develop data pipelines, and influence the global Risk roadmap through data-driven solutions and machine learning tools.

Seeking a Senior Data Scientist to work with a team of analysts, data scientists, and engineers. Responsibilities include leveraging data mining technologies, developing predictive models, and providing insights for Cloud and Infrastructure strategy using AI and Machine Learning.

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.

Develop technology at the core of the business by leading a team in designing, training, and deploying machine learning algorithms for health data science. Collaborate with clinicians, research scientists, and product managers to provide insights to members on various health topics. Work on wellness features and regulated SaMD projects. Mentor and manage data scientists and contribute to pushing the boundaries of wearable technology.