Senior Data Scientist

We are seeking a Senior Data Scientist to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We’re looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.

Mission Focus: As a member of our solutions delivery team, you will have the unique opportunity to work on programs advancing the most critical government systems. NT Concepts is seeking an experienced Senior Data Scientist for an exciting data transformation opportunity within our Intel Community.

Clearance: Active TS/SCI with CI Poly

Location/Flexibility: Local to the DC Metro Area, Remote Flexible

Responsibilities: 

We are seeking a Senior Data Scientist to lead innovative solutions for an intelligence community mission system. This role requires a visionary problem solver passionate about delivering high-quality, production-ready solutions that embody strong MLOps practices and significantly expand customer capabilities.

• Develop AI/ML pipelines for data inference and analysis.
• Apply supervised, unsupervised, and NLP-based machine learning algorithms for clustering, classification, dimensionality reduction, metadata extraction, and content analysis.
• Collaborate with cross-functional engineering and product teams throughout the data lifecycle to derive actionable insights.
• Analyze complex datasets to identify patterns, draw conclusions, and recommend improvements for data ingestion, scalability, and exploitation.
• Ensure data quality through cleaning, validation, and completeness checks.
• Perform statistical analysis to refine models and optimize data pipelines.
• Design, develop, and maintain ETL processes for integration into existing data warehouses.
• Enhance data models to support business intelligence tools and promote data-driven decision-making.
• Automate data analysis workflows to improve efficiency and consistency.
• Lead large-scale projects involving diverse datasets and complex requirements.
• Communicate technical concepts clearly and provide strategic thought leadership.
• Stay current with emerging tools, technologies, and industry best practices.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology Management, or a related technical field.
• Experience: 7+ years working with structured, semi-structured, and unstructured data from multiple sources.
• Expertise:
  • Proven experience in data science and analytics, including machine learning, deep learning, NLP, computer vision, predictive modeling, and statistics.
  • Proficiency in tools and languages such as Python, Java, SQL/PostgreSQL, and Graph Databases.
  • Experience with ML libraries and platforms such as AWS SageMaker and open-source tools.
  • Skilled in developing, verifying, and monitoring AI/ML models.
  • Familiarity with DevOps practices and version control tools (e.g., Git).
  • Knowledge of Agile/Scrum methodologies.
  • Strong problem-solving skills and ability to work independently and collaboratively.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Familiarity with containerization technologies (Docker, Kubernetes).

Preferred Qualifications:

• Master’s degree in computer science, Engineering, Information Technology Management or related technical field.
• Demonstrated experience with enhancing, managing, optimizing performance, and processing large volumes of data
• Familiarity with industry best practices for software/hardware development when processing large data sets
• Experience in the following required task areas: machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics
• Experience with Hadoop, Spark, or other parallel computing processes
• Experience with using the Joint Enterprise Modeling and Analytics (JEMA) framework or Apache NiFi to develop data processing workflow
• Experience in AWS services including but not limited to Sagemaker, S3, EMR, and IAM.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer.
• Must be able to lift to 10-15 pounds at times.

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