Senior Data Scientist

Elder Research Inc.; Remote; USD 110,000 - 150,000; Full time

Job summary

A technology firm based in Arlington, VA is seeking an experienced Senior Data Scientist to develop AI and statistical models that drive actionable insights. The role requires a minimum of 5 years of relevant experience, particularly in Python, and familiarity with cloud environments like Azure. This position emphasizes innovation, efficiency, and the ability to translate complex data into actionable narratives. The ideal candidate will also possess strong communication skills and experience in collaborative Agile environments.

Qualifications

• 5+ years of experience designing and developing statistical and AI/ML models.
• 3+ years hands-on Python experience, especially with Pandas and Scikit-learn.
• Strong proficiency in cloud environments, particularly Azure.

Responsibilities

• Lead design and implementation of advanced statistical and AI/ML solutions.
• Develop and maintain AI techniques and predictive models for various applications.
• Use data storytelling and visualization to communicate insights.

Skills

Statistical and AI/ML modeling

Python

Data storytelling

Azure

SQL

Data visualization

Education

Master's or Ph.D. in Data Science or related field

Tools

Python libraries (Pandas, Scikit-learn, PyTorch, TensorFlow)

Power BI or equivalent

Job description

Career Opportunities with Elder Research

A great place to work.

Careers At Elder Research

Current job opportunities are posted here as they become available.

Security Clearance Required - Public Trust

Remote Type Remote

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Data Scientist. The Data Scientist will lead the design and implementation of advanced statistical and AI/ML solutions to extract actionable insights, assess model performance, and apply semantic analysis techniques that strengthen product safety decision-making. This role emphasizes innovation, efficiency, and interpretability within modern cloud data environments, while supporting strategic acceleration toward an AI-powered product safety Sentinel model that uses analytics to reduce time to intervention and protect more consumers from a broader range of hazards, faster.

Responsibilities include but are not limited to:

• Insight Extraction & Semantic Analysis:
  • Leverage semantic vibe coding efficiencies to uncover patterns and thematic insights from structured and unstructured data, and translate complex results into clear, actionable narratives through data storytelling and visualization.
• Design, develop, and maintain AI techniques (e.g., product similarity) and predictive models (supervised and unsupervised) for anomaly detection, classification, regression, and pattern recognition, while rigorously evaluating performance using precision, recall, F1-score, AUC, and related metrics to ensure reliability and fairness.
• Apply an innovative mindset to explore emerging technologies, creative approaches, and novel methods for solving complex problems efficiently; leverage modern tools and frameworks (GitHub Copilot, automated pipelines, CI/CD) and optimize workflows for scalable cloud deployment (Azure).

Minimum Qualifications:

• Statistical and AI/ML Modeling Expertise:
  • 5+ years designing and developing statistical and AI/ML models, including regression, classification, NLP, and other predictive analytics approaches, using modern tools and best practices.
• Technical Skills:
  • 3+ years hands-on Python experience (Pandas, Scikit-learn, PyTorch/TensorFlow), 3+ years in cloud environments (Azure; certifications a plus), and 2+ years with SQL for data querying and manipulation.
  • Advanced proficiency in dashboard and visualization tools (Power BI or equivalent) and integrating semantic coding techniques into ML workflows.
• Strong oral and written communication for data storytelling, with experience in Git-based version control and collaborative Agile team development, contributing to iterative delivery, shared problem-solving, and continuous improvement.

Preferred Qualifications:

• Master’s, Ph.D., or equivalent professional experience in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.

Clearance Requirements:

• Current Public Trust Desired.
• Must be a US Citizen and be able to obtain and maintain a Public Trust clearance prior to starting this position.

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 [e-mail] and provide your name and contact information.