Top Data Science Jobs in Boston, MA

The Scientist I in Biologics Downstream Process Development will perform hands-on bioprocess engineering, develop and optimize downstream purification processes, collaborate with various teams for technology transfer, and contribute to internal and external project efforts.

The FedNow Data Specialist in Fraud Prevention will analyze transactional and behavioral data to prevent fraud, develop and implement fraud detection rules and models, and communicate findings to stakeholders. The role requires collaboration with data scientists and other specialists to enhance fraud prevention strategies using various analytical and modeling tools.

As a Senior Machine Learning Scientist, you will lead the development of machine learning and deep learning algorithms, collaborating with cross-functional teams to create solutions for complex data problems. Responsibilities include designing neural network architectures, optimizing software, and staying updated with advancements in AI, all while guiding a team of researchers and engineers.

The Chief Scientist for Edge and Spectral AI will lead research in AI, machine learning, and cognitive technologies to solve defense problems. Responsibilities include technical leadership, business development, mentoring junior scientists, and transitioning new technologies into products. Collaboration with both internal teams and external stakeholders is key to identifying and executing research opportunities.

As a Data Scientist II at WHOOP, you will develop algorithms utilizing wearable sensor data to generate insights on health and performance. Collaboration with MLOps, product managers, and other scientists is essential to design, train, and deploy machine learning models that analyze sleep and training information.

The Senior Data Scientist at CarGurus will implement and train machine learning models, develop data pipelines, evaluate model performance, and support A/B testing for the Data Science team's projects. They will collaborate with engineers and other stakeholders to design and implement machine learning solutions, communicating findings effectively to varied audiences.

The Sr. Finance Analyst will drive decision-making through accurate insights on ARR and revenue, collaborating with various departments to create forecasts and financial models using SQL, while continuously improving FP&A processes.