Senior Data Scientist (PhD) - Boston (2026 Start Date)

Analysis Group•Boston, MA

About The 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, Data Scientists are responsible for staying abreast of new developments in technology and data science, 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.

Requirements

PhD ideally in Computer Science, Mathematics, Statistics, Economics or other relevant scientific degree
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
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

Nice To Haves

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)

Responsibilities

Working with project teams to address data science and computing challenges
Identifying opportunities for 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
Conducting advanced statistical and mathematical analyses to address complex research questions to derive actionable insights that support client decision-making
Developing data engineering and machine learning production systems for full stack data science projects
Using natural language processing methodologies to work with EMR data, social media data and other unstructured data
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-C)