Top Data Science Jobs in Boston, MA
The Data Science Co-op at Solaria Labs involves supporting various projects related to public health and safety using machine learning techniques. The role includes coding, collaborating with teams, and developing software prototypes, as well as building custom algorithms and insights from data.
The Senior Data Scientist will conduct research on emerging technologies in AI, develop machine learning models, refine integration patterns for these models, and collaborate with business and product teams to enhance customer experiences and business outcomes.
As an Applied Researcher II at Capital One, you will collaborate with a cross-functional team to develop AI-powered products, utilizing technologies like Pytorch and AWS. Your responsibilities include building AI foundation models, conducting applied research, and translating complex work into business goals, all while staying current on emerging technologies and methodologies.
Senior Manager, Data Science role at a Fortune 200 company specializing in credit card industry disruption and data-driven decision-making. Responsibilities include partnering with cross-functional teams, building machine learning models, leveraging technologies like Python and AWS, and translating complex work into business goals. Ideal candidate is customer-focused, a leader, technically proficient, and a data guru. Basic qualifications include a Bachelor's Degree with 7 years of experience in data analytics or a Master's Degree with 5 years of experience.
The Data Scientist will analyze and develop algorithms related to data science, focusing on AI and machine learning to provide insights for national security purposes. Responsibilities include transitioning algorithms to software, conducting evaluations of data models, and collaborating with teams and stakeholders for optimization and reporting.
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The Sr. Finance Analyst will perform detailed analysis of Annual Recurring Revenue (ARR) and support forecasting, financial modeling, and reporting by leveraging SQL and other tools. They will identify risks and opportunities to inform strategic business decisions and improve processes within the FP&A team.
As a Revenue Systems Analyst at Klaviyo, you will manage subscription billing and revenue recognition processes, support subscription lifecycle events, collaborate with teams to handle complex billing scenarios, implement automation, generate revenue reports, and ensure compliance with accounting standards.
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.
The Credit and Collections Analyst manages overdue accounts by contacting customers through calls and emails to collect payments. They negotiate payment arrangements, resolve disputes, process payments, and collaborate with finance and sales teams to enhance the collections process.
The Applied AI Scientist will develop advanced algorithms for solving high-dimensional problems, execute statistical and data mining techniques on large data sets, evaluate emerging datasets for analytics, and contribute to thought leadership. They will also focus on feature engineering from varied data sources and expertise in machine learning algorithms.
As a Data Science Manager, you will lead the development of ML-based enterprise products, architect AI-enabled data solutions, research cutting-edge algorithms, and engage with senior clients. You'll also drive team collaboration in solving complex problems, contribute to thought leadership, and enhance ZS talent through recruiting and training.
As a Senior Data Scientist in the LLM team, you will build and deploy large-scale models, create machine learning features, and collaborate with engineers to enhance Datadog's offerings using Generative AI. Your role includes monitoring and maintaining model infrastructure, participating in research discussions, and simplifying complex concepts for stakeholders.
The RWE Data Scientist analyzes Tempus data for real-world evidence studies, developing insights for pharmaceutical partners and overseeing data quality and compliance. Responsibilities include conducting statistical analyses, communicating findings, collaborating across teams, and staying abreast of oncology methodologies and regulations.
The Senior Revenue Operations Analyst will collaborate with business leaders to analyze revenue operations and provide insights, improving efficiency in sales processes and systems. Responsibilities include supporting pricing, administering Salesforce, managing sales systems like HubSpot, and identifying operational improvements.
As a Senior Scientist in GPCR Pharmacology at Pfizer, you will lead in vitro studies to explore molecular pharmacology and develop novel therapeutic targets related to metabolic diseases. You will engage in research collaboration, mentoring junior scientists, and advancing drug discovery efforts through innovative strategies and scientific findings.
Top Companies in Boston, MA Hiring Data + Analytics Roles
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