Senior Data Scientist (PhD)

NABE; Boston (MA); On-site; USD 160,000 - 210,000; Full time

Job summary

Analysis Group is seeking a Senior Data Scientist in the Boston area to design, implement, and maintain innovative data science solutions across finance, economics, and health care. You will work with project teams to apply advanced methods, build AI-enabled systems, and explore cutting-edge tools for client engagements.

The role emphasizes staying current with AI developments, collaborating across teams, and contributing to knowledge sharing and training.

Qualifications

• PhD in Computer Science, Mathematics, Statistics, Economics, or other relevant scientific fields.
• Proven ability to independently apply advanced statistical and mathematical methods to tackle complex research questions.
• Strong credentials and experience with structured and unstructured data, including data visualization.
• Proficiency in Python and/or R with project experience in either language.
• Familiarity with generative AI concepts and ability to stay current with developments.
• Experience designing, prototyping, or deploying AI agents or other generative AI-powered solutions.
• Knowledge of online/cloud platforms (Azure, AWS) and HPC environments.
• Experience in Linux, Docker, and front-end development using a JS framework.

Responsibilities

• Working with project teams to address data science and computing challenges.
• Identifying opportunities for leveraging cutting-edge technology to enhance service offerings.
• Acting as a resource and participating in client engagements and research as part of the project team.
• Maintaining up-to-date knowledge of computing tools and helping grow the in-house data science knowledge base.
• Conducting advanced statistical and mathematical analyses to derive actionable insights for client decisions.
• Designing, developing, validating, and deploying data engineering, AI, and ML production systems for full stack data science projects.
• Using NLP and generative AI to work with unstructured data (EMR, social media, etc.).
• Optimizing procedures for managing large databases (insurance claims, EHRs, financial transactions).
• Creating interactive analytics portals and visualizations (R/Shiny, Python/Flask, D3).
• Leveraging grid and cloud computing; developing software packages in R, Python, and OO languages.
• Establishing optimized procedures for repetitive or computationally intensive tasks (C, C++, CUDA).
• Communicating findings to senior staff and clients.

Skills

Python

R programming

Statistical analysis

Data visualization

Linux

Docker

C++

Front-end basics

Education

PhD in Computer Science or related field

Tools

Docker

Azure

AWS

HPC environments

JavaScript frameworks (Vue.js/ Angular)

Job description

About Analysis Group:

Make an impact at Analysis Group, where we provide our clients with thoughtful, pragmatic solutions to their most challenging business and litigation problems. Analysis Group is one of the largest economics consulting firms, with more than 1,500 professionals across 15 offices in North America, Europe, and Asia. Since 1981, we have provided expertise in economics, finance, health care analytics, and strategy to top law firms, Fortune Global 500 companies, and government agencies worldwide. Our internal experts, together with our network of affiliated experts from academia, industry, and government, offer our clients exceptional breadth and depth of expertise.

About the Senior Data Scientist position:

Senior Data Scientists at Analysis Group help design, implement and maintain creative solutions to high-profile business challenges in finance, economics and health care across multiple industries. To this end, Senior Data Scientists are responsible for staying abreast of new developments in technology and data science, including generative artificial intelligence ("AI"), and communicating within the firm to help identify opportunities for cutting-edge tools, applications and data sources. Career development at Analysis Group includes opportunities for growth in technical skills as well as in project management, analytical strategy and collaborative business development, depending on individual skills and interests, and with support and mentorship from senior staff.

Key Responsibilities:

• Working with project teams to address data science and computing challenges.
• Identifying opportunities for leveraging cutting-edge technology to enhance service offerings.
• Acting as a resource and participating in client engagements and research as part of the project team.
• Maintaining up-to-date knowledge of computing tools, providing technical training and helping to grow the in-house knowledge base of the data science landscape.

Activities:

• Conducting advanced statistical and mathematical analyses to address complex research questions to derive actionable insights that support client decision-making.
• Designing, developing, validating, and deploying data engineering, artificial intelligence, and machine learning production systems for full stack data science projects.
• Using Natural Language Processing and generative AI to work with unstructured data (EMR, social media and other).
• Optimizing procedures for managing and accessing large databases (e.g., insurance claims, electronic health records, financial transactions).
• Creating interactive analytics portals and data visualizations (e.g., using R/Shiny, Python/Flask, D3).
• Leveraging on grid and cloud computing environments, and developing software packages in R, Python, and other object-oriented languages.
• Establishing optimized procedures for repetitive or computationally intensive tasks (C, C++, CUDA).
• Communicating research and analytical findings to senior staff and clients.

Qualifications:

• PhD ideally in Computer Science, Mathematics, Statistics, Economics, or other relevant scientific fields.
• Proven ability to independently apply advanced statistical and mathematical methods to tackle complex research questions and drive meaningful insights.
• Strong credentials and experience in working with both structured and unstructured data, along with data visualization skills, are required.
• Proficiency in Python and/or R is required, with project experience in either language.
• Strong familiarity with generative AI concepts (e.g., embeddings, vector search, retrieval-augmented generation, prompt design, tool calling, structured generation, and context management), with the ability and interest to stay current with new and emerging developments.
• Practical experience designing, prototyping, or deploying AI agents, agentic workflows, or other generative AI-powered solutions.
• Understanding of the risks, limitations, and responsible-use considerations of generative AI, along with best practices for designing and deploying generative AI powered applications and systems. Familiarity with online/cloud computing and storage platforms (e.g., Azure, AWS) is preferred, along with experience working within an HPC environment.
• Experience working within a Linux environment is a plus, as well as experience with Docker and front-end development using a JavaScript framework (e.g., Vue.js, Angular).
• Eagerness and ability to quickly learn new skills, analytical methodologies, and technologies to effectively support and contribute to project teams.
• Demonstrated experience working on project teams and collaborating with others.
• Strong interpersonal, written, and oral communication skills.

Except in exceptional circumstances, candidates who will require future visa sponsorship must 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. For such individuals, Analysis Group will provide post-hire immigration support, as appropriate under prevailing immigration and firm policy.

Analysis Group offers competitive compensation and a comprehensive benefits package. The estimated salary for this position is $180,000. Compensation offered will be based on a number of factors including work experience, education, and skill level. This role is eligible for a discretionary annual bonus that is determined in large part by individual performance.

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Analysis Group embraces equal opportunity. We are committed to building teams that bring a variety of backgrounds, perspectives, and skills, as we believe that a strong and inclusive workforce directly supports our goal of providing the highest-quality work. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other class protected under applicable federal, state, or local law, and we encourage candidates of all backgrounds to apply.