Senior Data Scientist — Generative AI & Economics (PhD)

Analysis Group

Boston (MA)

On-site

USD 162,000 - 198,000

Full time

10 days ago

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Job summary

Analysis Group is seeking a Senior Data Scientist to design and deploy AI-enabled analytics solutions across finance, economics and health care. You will work with project teams to apply advanced statistics, NLP, and machine learning to real client questions, staying current with new data science technologies.

This role emphasizes collaboration, mentorship, and contributing to business development, with opportunities to lead data pipelines, work on cloud and HPC platforms, and ship production

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 (embeddings, vector search, retrieval-augmented generation, prompt design, tool calling, structured generation, and context management).
  • Practical experience designing, prototyping, or deploying AI agents, agentic workflows, or other generative AI–powered solutions.
  • Understanding of risks, limitations, and responsible-use considerations of generative AI, along with best practices for deploying such applications.
  • Familiarity with online/cloud computing and storage platforms (Azure, AWS) is preferred, along with HPC experience.
  • Experience with Linux and Docker; front-end development using a JS framework (Vue.js/Angular).
  • Eagerness and ability to quickly learn new skills, methodologies, and technologies.
  • Demonstrated experience working on project teams and collaborating with others.
  • Strong interpersonal, written, and oral communication skills.

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 grow the in-house knowledge base of the data science landscape.
  • Conducting advanced statistical and mathematical analyses to address complex research questions to derive actionable insights for client decision-making.
  • 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 and others).
  • Optimizing procedures for managing and accessing large databases (e.g., insurance claims, EMR, financial transactions).
  • Creating interactive analytics portals and data visualizations (R/Shiny, Python/Flask, D3).
  • Leveraging grid and cloud computing environments, and developing software packages in R, Python, and other OO languages.
  • Establishing optimized procedures for repetitive or computationally intensive tasks (C, C++, CUDA).
  • Communicating research and analytical findings to senior staff and clients.

Skills

Interpersonal skills
Written and oral communication
Collaboration
Problem solving

Education

PhD in CS/Math/Stats/Economics

Tools

Python
R
Docker
Cloud platforms (Azure/AWS)
Linux

Job description

Analysis Group is seeking a Senior Data Scientist to design and deploy AI-enabled analytics solutions across finance, economics and health care. You will work with project teams to apply advanced statistics, NLP, and machine learning to real client questions, staying current with new data science technologies.

This role emphasizes collaboration, mentorship, and contributing to business development, with opportunities to lead data pipelines, work on cloud and HPC platforms, and ship production

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