Top Hybrid Data Science Jobs in Boston, MA

The Lead Analyst will shape data-driven talent decisions by conducting predictive analyses, developing dashboards, and mentoring other analysts, impacting workforce strategies across the organization.

As an Associate in PwC's Financial Crime Unit, you will utilize SQL and Python for data analysis, applying analytical techniques to tackle financial crime issues while engaging with clients to develop relationships and enhance your skills.

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

The Senior Product Data Scientist will leverage data to optimize the customer experience, evaluate new features, and provide product recommendations through analytics and experimentation.

This PhD internship focuses on data science with responsibilities including designing models, integrating data sources, and supporting machine learning projects. Interns will work closely with their teams, receive mentorship, and may transition to full-time roles post-internship.

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

The role involves developing computational methods and workflows to analyze high-throughput sequencing data, support R&D projects on nucleic acids, and manage databases. It requires strong programming skills, experience in bioinformatics, and collaboration with experimental scientists.

The Director of Data Science will oversee data analytics and data science functions, mentor teams, improve processes, maintain technology roadmaps, and manage vendor relationships in the healthcare sector.

The Data Scientist will collaborate with customers on analytics and ML implementations, improve product capabilities, and ensure customer success through technical expertise.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.