Top Principal Data Scientist Jobs in Boston, MA

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

The Principal Data Scientist will design and develop machine learning systems, manage data pipelines, and collaborate with teams to improve products and services. This role requires significant experience in ML model deployment and communication with stakeholders.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Principal Analytics Engineer leads customer-centric B2B analytics and ML products, ensures scalable design, and collaborates across teams to solve complex problems.

The Principal Data Scientist will develop data systems for Oncology R&D, design data pipelines, and work with cross-functional teams to translate business needs into data products.

The Principal Data Scientist will standardize linked biomedical and clinical data, focusing on graph-based models while collaborating across teams to create AI-Ready datasets for Oncology R&D.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

As a Senior Principal Data Scientist, lead the application of machine learning and AI for ad measurement, optimizing advertiser outcomes through complex model and pipeline development, experimentation, and reinforcement learning systems.

The Principal Data Scientist will analyze complex datasets, collaborate with teams to define metrics, mentor junior staff, and communicate insights to enhance Zillow Rentals' products and strategy.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.

Lead analytics for claim decisioning by framing ambiguous problems, building scalable data models and pipelines, designing metrics, and deploying analytical and ML solutions. Partner cross-functionally to measure decision quality, operational performance, and payment accuracy, iterating quickly to deliver measurable impact.

As a Principal Data Scientist, you'll develop ML systems, improve models, collaborate cross-functionally, and drive innovation in recommendations.

The Senior Principal Data Scientist develops scalable tools for statistical computing in healthcare, providing leadership for data science capabilities, driving automation, and ensuring compliance in complex projects while guiding technical strategy and cross-functional initiatives.

Lead data science efforts for the Rentals Shopping pillar, driving strategy, modeling, experimentation, and cross-functional collaboration to improve user experience and business performance.

The Data Scientist III/Sr/Principal role focuses on leading complex analytics initiatives, developing analytical solutions, and enforcing coding standards within the business intelligence team, utilizing SQL, Python, and R.

Lead the Generative AI team at Xometry, focusing on developing and optimizing AI-driven solutions, generative models, and multimodal data processing.

Responsible for designing and operationalizing advanced data science and AI solutions for insurance, including model deployment and data pipeline development.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.