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Top Hybrid Data Science Jobs in Boston, MA
The FedNow Data Specialist will enhance fraud prevention strategies by analyzing transactional and behavioral data, recommending and implementing fraud detection rules, and collaborating with specialists to develop and monitor fraud prevention systems. Responsibilities include conducting statistical analysis, building predictive models, and communicating insights to stakeholders.
The Chief Scientist leads research and development in Edge and Spectral AI, focusing on creating innovative solutions in cognitive warfare and related areas. Responsibilities include technical leadership, business capture, mentoring, and collaboration with various stakeholders to drive research opportunities and product integration.
The Senior Business Intelligence Analyst at Klaviyo will analyze data to drive business impact and build models while maintaining data environments. They will conduct hypothesis testing, create analysis frameworks, and interact with various departments to present findings and recommendations. The role requires a quantitative background and experience with analytical tools.
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As a Research Scientist at Kensho, you will develop state-of-the-art NLP models, contribute to collaborative research projects, and share your findings. You'll work with techniques for large data processing and evaluate new directions in machine learning. Your role focuses on innovative problem-solving and iterative collaboration with a team.
As an AI & GenAI Data Scientist-Manager at PwC, you will lead data-driven projects, leveraging advanced analytics and AI solutions to optimize business operations. Responsibilities include managing development teams, collaborating with clients to address their business needs, and mentoring team members while upholding professional standards.
As a Senior Data Scientist at Capital One, you will lead projects in machine learning, conduct research on self-supervised learning and transformer models, and build customer behavioral models. You will work with engineering teams to operationalize data science solutions across business units, impacting marketing, servicing, and fraud prevention.
As a Data Scientist at Magnite, you will engage in developing machine learning solutions, analyze complex datasets, and collaborate with engineers to scale models. Responsibilities include statistical modeling, pattern analysis, and ensuring effective implementation of data strategies.
The Scientist in Biology will focus on in vivo and in vitro studies related to cardiovascular diseases. The role requires skills in molecular and cellular biology, rodent handling, experimental design, and data analysis. The candidate will work independently and in a team to address key scientific questions and drive research towards potential therapies.
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 design A/B tests. They will collaborate with engineers and stakeholders to deploy models and communicate their findings through documentation and visualizations.
Top hybrid Companies in Boston, MA Hiring Data + Analytics Roles
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