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Top Data Science Jobs in Boston, MA
The Senior Applied Scientist at Chewy will lead the development and implementation of machine learning and data science models to enhance the shopping experience and improve advertisement efficacy on Chewy's platform. This role involves collaborating with product and engineering teams, mentoring junior scientists, and influencing technical strategy, while also publishing research in relevant conferences.
As a Data Science Co-op at Jellyfish, you will develop algorithms, contribute to blog posts, learn to create machine learning models, and perform analyses to enhance client understanding of their development processes. This role combines hands-on programming and collaborative teamwork within a dynamic environment.
As a Senior Manager, Data Science, you will lead a cross-functional team to develop AI-powered products that improve the software development lifecycle for developers, focusing on generative AI solutions while leveraging a wide range of technologies like machine learning and natural language processing.
The Staff Data Science Tech Lead will design, develop, and implement machine learning algorithms to analyze human behavior and physiology, working with a team of data scientists and collaborating with product teams and clinical researchers. Responsibilities include managing projects, conducting research, mentoring junior staff, and maintaining production services.
As the Director of Data Science & Analytics, you will lead a team in driving data strategies, utilizing advanced analytics and machine learning to identify insights and inform decision-making across sales, marketing, and operations. You will collaborate with teams to optimize Amazon marketplace strategies and report performance metrics to senior leadership.
As a Data Science Manager, you will lead the development of ML-based products, architect AI solutions, and solve complex business challenges. You will work with a team of scientists and engineers, engage client leaders, and contribute to firm strategy in AI. Your role includes research, solution delivery, and talent development.
This role involves leading independent analyses of Tempus data for Real World Evidence studies. The Data Scientist will perform coding to derive real-world endpoints, communicate findings to partners, and collaborate with different teams to enhance data quality and analytical practices.
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.
Featured Jobs
As an AI & GenAI Data Scientist at PwC, you will leverage advanced analytics and machine learning techniques to develop predictive models, conduct statistical analysis, and create data visualizations. You will collaborate with clients to understand their problems, design AI solutions, and manage data through structured and unstructured formats while contributing to a high-performance team environment.
As a Staff Data Scientist, you'll develop models using AI and machine learning, collaborating with cross-functional teams to solve marketing related problems. Responsibilities include data analysis, model evaluation, and communication of insights to stakeholders.
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 Data Scientist II, you will enhance Chewy's Customer Care teams with data solutions, conducting data preparation, exploratory analysis, feature engineering, and model development. You'll collaborate with cross-functional teams to provide data-driven insights and communicate findings 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.
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.
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.
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