Flexible Data Science Rotational Program Jobs in Minnesota

Career Opportunities with Elder Research

A great place to work.

Locations: USA-VA-Arlington OR USA-NC-Raleigh

Posting Date: 06/12/2026

Security Clearance Required: NONE

Remote Type: Hybrid

Time Type: Full time

Data Scientist - Hybrid (Raleigh, NC or Washington DC)

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1–2 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities

• Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
• Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
• Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
• Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
• Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications

• 5+ years of experience as a Data Scientist.
• Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences.
• Proficiency in Python, including libraries for data analysis and modeling.
• Strong SQL experience to facilitate deep dives and analysis of complex datasets.
• Strong hands‑on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
• Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
• Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
• Understanding of IAM roles, policies, and security best practices for AWS services.
• Curiosity and a passion for exploring data to understand business context and connect technical work to real‑world impact.
• Willingness to learn new tools/techniques.

Preferred Qualifications

• Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
• Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
• Strong consultative and communication skills, capable of representing the team effectively to clients.
• Ability to work autonomously in a fully remote, flexible environment.
• Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM).

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.