Top Data Science Jobs in Boston, MA

As a Data Scientist III, you will design, implement, and deploy machine learning models, conduct advanced data analysis, and communicate insights effectively to support strategic business decisions. You will collaborate with various teams and oversee data processes to ensure data integrity.

As a Data Scientist II, you will develop statistical and machine learning models to analyze wearable sensor data and solve complex health-related problems. You will collaborate with MLOps, product managers, and research scientists to create algorithms that deliver meaningful insights for users. Additionally, you will work on productionizing models and monitoring their performance in real-world applications.

As a Staff Data Scientist, you'll design optimization and machine learning solutions, build and deploy models, and communicate insights to stakeholders. You'll collaborate with MLEs and others to tackle business problems using data science techniques, including generative AI and predictive modeling, while also participating in model evaluation and improvement processes.

As a Data Scientist II at WHOOP, you will develop algorithms using wearable sensor data to provide insights on health and performance. Collaborating with MLOps, product managers, and research scientists, you'll create ML models, monitor their performance, and integrate clinical research into data analysis.

As a Data Scientist at Jellyfish, you will collaborate with cross-functional teams to develop and enhance algorithms and features, utilizing techniques in data science, machine learning, and natural language processing. You will also validate and deploy data science models while measuring the impact of innovations created for customers.

As a Senior Data Scientist, you will leverage advanced generative AI to enhance the Datadog application, focusing on training and fine-tuning LLMs. Collaborate on projects to create robust features, manage infrastructure for distributed training, and engage in AI research while simplifying complex models for broader understanding.

The Senior Director of Data Science and Machine Learning at Compass is responsible for leading a team of data scientists, managing predictive modeling initiatives, and aligning data strategies with business goals. The role involves collaborating with senior leaders, developing scalable analytics solutions, and advancing the company's data capabilities in real estate.

This role involves end-to-end data science projects, focusing on predictive modeling, analyzing dispatch operations, and simulating data to enhance innovation. The candidate will collaborate with cross-functional teams and communicate results effectively to stakeholders.

As a Senior Data Scientist at CarGurus, you will implement and evaluate machine learning models, develop data pipelines for model training, support A/B testing, and communicate findings to stakeholders. You will collaborate across teams to design and deliver machine learning projects that unlock customer value.

The Staff Data Scientist at Valo Health collaborates with a cross-functional team to apply systems biology approaches towards target discovery and prioritization, utilizing multi-OMICS datasets. Responsibilities include identifying novel pathways, performing exploratory data analysis, and boosting insights relevant to drug discovery.

As a Senior Data Scientist on the Statistical Genetics team, you will design experiments using genetic, multi-omic, and clinical data, collaborate with scientists and engineers, and develop robust solutions for drug target identification and validation.

As a Data Scientist II, you will connect data science and tissue engineering efforts, developing computational models, statistical models, and machine learning tools for drug discovery. Your role will involve data processing, analysis, experimental design, and creating predictive models to optimize tissue model experiments.

As a Senior Staff Data Scientist in Computational Biology, you will lead and represent the translational data science team in drug target validation programs. Your role involves coding in Python or R, collaborating on diverse biopharmaceutical data analysis, and communicating insights with cross-functional teams.

The Senior Data Scientist will leverage data analytics for user privacy initiatives, analyze structured and unstructured data, develop dashboards and data visualizations, create data pipelines, collaborate on A/B tests, and provide insights to improve operational efficiency and safeguard user privacy.