Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Associate Data Scientist, DIBI role.
Rezi rewrites your resume against Northeastern University's job description. Free.
Tailor your resume to this Associate Data Scientist, DIBI role.
Rezi rewrites your resume against Northeastern University's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Associate Data Scientist, DIBI posting at Northeastern University — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Associate Data Scientist, DIBI posting at Northeastern University — free, in seconds.
About the Role
The Defense Industrial Base Institute at Northeastern University (NU) is seeking an experienced Jr. Data Scientist with expertise in ML&AI to join a multi-disciplinary team. This role will contribute to federally funded projects, providing technical expertise and analytical support for projects involving machine learning and artificial intelligence.
Responsibilities
- Provide 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).
- Work collaboratively with and help guide multi-disciplinary teams across the DIBI Higher Education Consortium to design, validate, and maintain datasets and analytical products.
- Build and maintain data pipelines and analytical components underlying the existing Navigator methodology.
- Support Research and Development efforts to scale Navigator methodology applied to defense contracts.
- Test and validation of AI/ML Tools for sprints, tasks, projects and deliverables.
- Provide subject matter expertise across a diverse set of application areas and ad hoc requests from the sponsor.
- Present information and answer questions from government sponsors and stakeholders.
- Research and support PI or CO-PIs with scoping project budgets.
- Assist in scoping proposals and opportunities.
- Make recommendations on systems build out for internal operations.
Requirements
- 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.
- U.S. Citizenship with the ability to obtain and maintain a security clearance.
Skills
- Advanced proficiency in Python and/or R studio.
- Familiarity with modern ML/AI development workflows.
- Exposure to C++ and/or Java.
- 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).
- Designing dashboards for executive or sponsor audiences.
- Proven experience independently building, validating, and interpreting statistical or machine learning models.
- Communicating tradeoffs to non-technical stakeholders.
- Strong command of data cleaning, ETL processes, and data quality assurance practices.
- Solid software engineering fundamentals, including version control (e.g., Git/GitHub), documentation, and reproducibility.
- Excellent written and verbal communication skills.
- Experience presenting analytical findings directly to leadership or sponsors.
- 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.
Location
- Boston Campus
Work Type
- Research
- Full-time
Experience Level
- 2-4 years of professional experience
- Jr. Data Scientist
Education Level
- Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a closely related field
- Master's degree or Ph.D with a focus on data science, data‑intensive systems, network science, optimization, or related areas.
Salary/Compensations
- $76,335.00 - $107,823.75
Benefits
- Multiple retirement plan options with extremely generous matching
- Tuition waiver for classes and advanced degree programs
- Medical
- Vision
- Dental
- Paid time off
- Tuition assistance
- Wellness & life
- Retirement
- Commuting & transportation
About the Company
- The Defense Industrial Base Institute at Northeastern University (NU) is a rapidly growing defense focused institute that conducts cutting-edge applied R&D.
- 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.
Equal Opportunity
- 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.