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Top Data Science Jobs in Boston, MA
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.
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.
As a Senior Revenue Systems Analyst, you'll support revenue systems, subscription management, and data integration. Key responsibilities include managing billing and revenue recognition processes, collaborating with sales and billing teams, identifying automation opportunities, and ensuring compliance with accounting standards.
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 a Senior Research Scientist at Kensho, you'll develop advanced NLP models, engage with dense data, and collaborate closely with teams. Responsibilities include reading research papers, coding in PyTorch, and sharing findings through presentations and publications, while contributing to a thriving engineering culture.
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.
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The Senior Manager of Data Science will lead a team to deliver machine learning models and data science solutions for credit underwriting and business strategies at Capital One. The role involves partnering with data scientists, software engineers, and product managers to use large volumes of data and advanced technologies to enhance customer experience and develop innovative modeling strategies.
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.
As an Applied AI Scientist, you'll develop advanced algorithms for large datasets, execute statistical analysis and machine learning techniques, evaluate new data technologies, and contribute to the firm's thought leadership.
The Senior Revenue Operations Analyst will collaborate with AMER sales, marketing, finance, and customer success to enhance operational strategies. This role involves complex pricing modeling, data analysis for decision support, driving operational improvements, and producing insights through quantitative analysis.
Top Companies in Boston, MA Hiring Data + Analytics Roles
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