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.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead analytics projects in healthcare, leveraging SQL and Python to develop impactful data-driven solutions, mentor teams, and communicate insights effectively.

Lead the design and implementation of machine learning models for demand forecasting in hospitality, focusing on Bayesian modeling and model deployment.

As a Data Scientist, you will leverage data to improve client experiences, design metrics, build data pipelines, and collaborate with teams on data-informed decision-making.

Lead projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

This role involves leading complex data science projects, mentoring analytics teams, and establishing best practices in analytics across the organization.

As a Principal Data Scientist, you will lead quantitative initiatives in pricing and underwriting, drive advanced statistical modeling, influence strategic decisions, and collaborate across teams to implement modern data science practices.

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

Seeking a Senior Data Scientist to develop routing algorithms and optimization models, enhance operational efficiency, and mentor junior staff in a dynamic environment.

The Senior Data Scientist will leverage Python and SQL to analyze pharmacy data, recommend solutions, and enhance patient experiences through predictive analytics.

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.

Lead Data Scientist will design and implement AI solutions, managing a portfolio of AI projects with a focus on improving healthcare outcomes using analytics.

The Senior Data Scientist will architect scalable risk models and data pipelines, mentor team members, and collaborate across functions to drive business value.

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.

As a Senior Data Scientist, you will lead data-driven insights to drive product strategy, mentor junior data scientists, and engage stakeholders to align goals and improve decision making.

The Staff Data Scientist will lead data science initiatives using advanced analytics and machine learning to enhance marketing strategies and drive growth at Quince.

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.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

The role involves developing predictive models for product assortment optimization in retail, driving revenue and customer satisfaction through analytics and collaboration with business teams.

The Senior Full Stack Data Scientist will develop forecasting algorithms, collaborate with teams to enhance accuracy and build predictive software in a startup environment.

Develop datasets for data visualization and decision making, automate data pipelines, partner with stakeholders, and provide leadership.

Lead development of forecasting algorithms, collaborate on greenfield projects, and enhance forecast accuracy using customer data signals in a dynamic team environment.