Senior Data Scientist (PhD) - Boston (2027 Start Date)

Analysis Group • Boston, MA

2d

About The Position

Senior Data Scientists at Analysis Group design, implement, and maintain creative solutions to high-profile business challenges in finance, economics, and health care across multiple industries. They stay current with technology and data science developments, including generative AI, and communicate across the firm to identify opportunities for using advanced tools, applications, and data sources. The role offers opportunities to develop technical skills, project management, analytical strategy, and collaborative business development, with support and mentorship from senior staff.

The position involves contributing to client engagements and research as part of project teams, developing and deploying data science systems, and communicating analytical findings to senior staff and clients. The position is based in Boston and has a 2027 start date.

Requirements

• PhD, ideally in Computer Science, Mathematics, Statistics, Economics, or another relevant scientific field.
• Proven ability to independently apply advanced statistical and mathematical methods to complex research questions and derive meaningful insights.
• Strong credentials and experience working with structured and unstructured data, as well as data visualization skills.
• Proficiency in Python and/or R, with project experience in either language.
• Strong familiarity with generative AI concepts, including embeddings, vector search, retrieval-augmented generation, prompt design, tool calling, structured generation, and context management; ability and interest to stay current with emerging developments.
• Practical experience designing, prototyping, or deploying AI agents, agentic workflows, or other generative AI-powered solutions.
• Understanding of generative AI risks, limitations, and responsible-use considerations, and of best practices for designing and deploying generative AI-powered applications and systems.
• Eagerness and ability to quickly learn new skills, analytical methodologies, and technologies to support and contribute to project teams.
• Demonstrated experience working on project teams and collaborating with others.
• Strong interpersonal, written, and oral communication skills.
• Candidates who will require future visa sponsorship must, except in exceptional circumstances, have a STEM-eligible degree and at least 36 months of valid post-graduation work authorization, such as F-1 OPT or J-1 Academic Training, to join the firm.

Nice To Haves

• Familiarity with online/cloud computing and storage platforms such as Azure or AWS.
• Experience working within a high-performance computing (HPC) environment.
• Experience working within a Linux environment.
• Experience with Docker.
• Front-end development experience using a JavaScript framework such as Vue.js or Angular.

Responsibilities

• Work with project teams to address data science and computing challenges.
• Identify opportunities to leverage cutting-edge technology to enhance service offerings.
• Act as a resource and participate in client engagements and research as part of project teams.
• Maintain up-to-date knowledge of computing tools, provide technical training, and help grow the firm’s in-house knowledge base of data science.
• Conduct advanced statistical and mathematical analyses to answer complex research questions and derive actionable insights that support client decision-making.
• Design, develop, validate, and deploy data engineering, artificial intelligence, and machine learning production systems for full-stack data science projects.
• Use natural language processing and generative AI to work with unstructured data, including electronic medical records and social media data.
• Optimize procedures for managing and accessing large databases, such as insurance claims, electronic health records, and financial transactions.
• Create interactive analytics portals and data visualizations.
• Leverage grid and cloud computing environments and develop software packages in R, Python, and other object-oriented languages.
• Establish optimized procedures for repetitive or computationally intensive tasks.
• Communicate research and analytical findings to senior staff and clients.

Benefits

• Competitive compensation and a comprehensive benefits package.
• Eligible for a discretionary annual bonus determined in large part by individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree