Job description

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. 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. undefined 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 hr.northeastern.edu for more information. 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.

Requirements

Must-haves

Education & Experience
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.
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

Nice-to-haves

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.
Skills & Attributes
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlaimachine learningpythonjavallmazureawssveltereact

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Wellness