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Northeastern

Associate Data Scientist, DIBI

Salary$76k – $108k
LocationBoston, MA (Main Campus)
Work modeon-site
Typefull-time
SeniorityEntry
Experience2–4 yrs
Company size10,000+ people
First seenOct 8, 2026 · 3d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have11
Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a closely related field
2–4 years of professional experience in software engineering, data science, or applied R&D, with exposure to machine learning and AI system development
Advanced proficiency in Python and/or R studio
Familiarity with modern ML/AI development workflows
Exposure to C++ and/or Java for performance-critical components
Experience contributing to the design, implementation, testing, or evaluation of ML/AI-enabled or simulation-driven software systems
Demonstrated experience with data visualization and reporting tools (e.g., Tableau, Power BI, matplotlib, Plotly), including designing dashboards for executive or sponsor audiences
Proven experience independently building, validating, and interpreting statistical or machine learning models, and communicating tradeoffs to non-technical stakeholders
Strong command of data cleaning, ETL processes, and data quality assurance practices, including for messy or incomplete real-world datasets
Solid software engineering fundamentals, including version control (e.g., Git/GitHub), documentation, and reproducibility
Excellent written and verbal communication skills, with experience presenting analytical findings directly to leadership or sponsors
Nice to have13
Master's degree or Ph.D with a focus on data science, data-intensive systems, network science, optimization, or related areas
Experience contributing to government, defense, or security-related R&D programs
Familiarity with simulation-based models (e.g., physics-based, network-based, agent-based, or stochastic simulations) for analysis, experimentation, or decision support
Exposure to Retrieval-Augmented Generation (RAG), vector databases, embedding pipelines, or LLM-enabled systems
Familiarity with cloud computing environments (e.g., Azure, AWS or GovCloud equivalents)
Introductory experience with graph-based ML or GNNs
Monte Carlo or stochastic simulation methods
Synthetic data generation or simulation-in-the-loop workflows
Familiarity with geospatial data, spatiotemporal datasets, or PostgreSQL/PostGIS
Interest in UI or frontend development for technical or analyst-facing tools (e.g., Svelte, React, or similar frameworks)
Exposure to dashboarding or BI tools for analyst-facing or leadership-facing reporting
Familiarity with MLOps concepts, experiment tracking, or reproducible research pipelines
Experience working with multidisciplinary teams across research, engineering, and applied R&D environments
Eligibility1
U.S. Citizenship with the ability to obtain and maintain a security clearance
Skills
Python
R
R studio
ML/AI development
C++
Java
Tableau
Power BI
matplotlib
Plotly
Git
GitHub
Retrieval-Augmented Generation (RAG)
vector databases
embedding pipelines
LLM-enabled systems
Azure
AWS
GovCloud
graph-based ML
GNNs
Monte Carlo
stochastic simulation
synthetic data generation
geospatial data
PostgreSQL
PostGIS
Svelte
React
MLOps
Benefits
Retirement plan
Tuition waiver
Medical insurance
Vision insurance
Dental insurance
Paid time off
Tuition assistance
Wellness
Life insurance
Commuting benefits
Transportation benefits
About the Opportunity
JOB SUMMARY
The Defense Industrial Base Institute at Northeastern University (NU) – a rapidly growing defense focused institute that conducts cutting-edge applied R&D – is seeking an experienced and highly capable Jr. Data Scientist with expertise in applying methods/frameworks/systems that apply ML&AI. The Jr. Data Scientist will operate as part of a multi-disciplinary team (academia, industry and government) and will contribute directly to the successful execution of federally funded projects/activities,
Responsibilities include providing technical expertise and analytical support to Principal investigators or co-principal investigators as a Jr. Data Scientist for a wide range of projects and activities involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The Jr, Data Scientist will work collaboratively with and help guide, multi-disciplinary teams across the DIBI Higher Education Consortium — spanning academic, government, and industry partners — to design, validate, and maintain datasets and analytical products that inform institute leadership and sponsor decision-making. Specifically, the Jr. Data Scientist will take a role in building and maintaining the data pipelines and analytical components underlying the existing Navigator methodology, working closely with — and providing guidance to — data researchers, engineers, and leadership across the institute.
Successful candidates will be responsible team players and passionate about machine learning technologies, as well as possess a deep understanding of machine learning technology and experience in turning machine learning systems into practical, state-of-the-art systems that can be enhanced for projects or activities as per federal agency. A close working relationship with the team, along with creative thinking on the application of the Navigator framework for government and industry contracts, will be required.
Benefits
The primary office for this position is located at NU’s Boston Campus Through NU, the institute offers an impressive benefits package, including multiple retirement plan options with extremely generous matching, as well as tuition waiver for classes and advanced degree programs. A full description of available benefits can be found on the NU website.
MINIMUM QUALIFICATIONS
Education & Experience Required
•
Master’s degree in Data Science, Statistics, Computer Science Computer Science, Applied Mathematics, or a closely related field
•
2–4 years of professional experience in software engineering, data science, or applied R&D, with exposure to machine learning and AI system development in research, prototype, or production environments.
Preferred
•
Master’s degree or Ph.D with a focus on data science, data‑intensive systems, network science, optimization, or related areas.
•
Experience contributing to government, defense, or security‑related R&D programs (internships, fellowships, or full‑time roles).
•
Familiarity with simulation‑based models (e.g., physics‑based, network‑based, agent‑based, or stochastic simulations) for analysis, experimentation, or decision support.
•
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Skills & Attributes
Required
•
Advanced proficiency in Python and/or R studio and familiarity with modern ML/AI development workflows.
•
Exposure to C++ and/or Java for performance‑critical components
•
Experience contributing to the design, implementation, testing, or evaluation of ML/AI-enabled or simulation-drive software systems.
•
Demonstrated experience with data visualization and reporting tools (e.g., Tableau, Power BI, matplotlib, Plotly), including designing dashboards for executive or sponsor audiences.
•
Proven experience independently building, validating, and interpreting statistical or machine learning models, and communicating tradeoffs to non-technical stakeholders.
•
Strong command of data cleaning, ETL processes, and data quality assurance practices, including for messy or incomplete real-world datasets.
•
Solid software engineering fundamentals, including version control (e.g., Git/GitHub), documentation, and reproducibility.
•
Excellent written and verbal communication skills, with experience presenting analytical findings directly to leadership or sponsors.
•
U.S. Citizenship with the ability to obtain and maintain a security clearance
Desired:
•
Exposure to Retrieval‑Augmented Generation (RAG), vector databases, embedding pipelines, or LLM‑enabled systems.
•
Familiarity with cloud computing environments (e.g., Azure, AWS or GovCloud equivalents).
•
Introductory experience with graph‑based ML or GNNs is a plus
•
Monte Carlo or stochastic simulation methods
•
Synthetic data generation or simulation‑in‑the‑loop workflows
•
Familiarity with geospatial data, spatiotemporal datasets, or PostgreSQL/PostGIS is a plus.
•
Interest in UI or frontend development for technical or analyst‑facing tools (e.g., Svelte, React, or similar frameworks).
•
Exposure to dashboarding or BI tools for analyst-facing or leadership-facing reporting
•
Familiarity with MLOps concepts, experiment tracking, or reproducible research pipelines.
•
Experience working with multidisciplinary teams across research, engineering, and applied R&D environments.
KEY RESPONSIBILITIES & ACCOUNTABILITIES
Support Research and Development efforts to scale Navigator methodology applied to defense contracts (SIB), to include, development and implementation, prototype modeling & simulation, design, and experimentation. This supports the defense funding received that supports this role (40%)
Test and validation of soAI/ML Tools for sprints, tasks, projects and deliverables; to include scaling of projects by suggesting tools and systems that enhance efficiency and support humans in their work (40%)
Provide subject matter expertise across a diverse set of application areas and ad hoc requests that may come in from the sponsor. Present information and answer questions form government sponsors and stakeholders.Research and support PI or CO-PIs with scoping project budgets as appropriate (Systems, tools) (10%)
Special Projects as assigned: Working closely with Managing Director, Founding Director and other core leadership members, help to scope proposals and opportunities. Working closely with DIBI Leadership Team and Sr. Director, Strategy and Communications to make recommendations on systems build out for internal operations (10%)
Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
Legal
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
110S
Expected Hiring Range:
$76,335.00 - $107,823.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.
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