Senior Data Scientist at NT Concepts

Vienna, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Artificial Intelligence, NLP, Statistical Analysis, ETL, Data Quality, Cloud Platforms, Python, SQL, DevOps, Agile, Problem-Solving, Data Analysis, Data Ingestion, Data Modeling

Industry

IT Services and IT Consulting

Description

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: NT Concepts is looking for a Data Scientist for an exciting opportunity leading state-of-the-art solutions for an intelligence community mission system. We are searching for a creative, visionary problem solver who has a passion for delivering state-of-the-art solutions. In this role, you will deliver quality production solutions that embody solid MLOps practices to significantly expand customer capabilities. Support development of Artificial Intelligence (AI)/ML based pipelines for data inference. Apply supervised, unsupervised, and NLP Machine Learning (ML) algorithms for clustering, classification dimensionality reduction, and metadata extraction & content analysis. Work in cross-functional engineering and product development teams with data at all stages of the analysis lifecycle to derive actionable insight. Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations to improve data ingestion, increase data scaling, and enhance data exploitation to ensure more interoperable and secure data. Verify data quality and/or ensure it via data cleaning for accuracy and completeness. Perform statistical analysis and utilize results to improve the model and data pipeline. Design, develop, and maintain ETLs to extract, transform the data into existing data warehouses. Collaborate with analytics teams and SMEs to improve data models that feed business intelligence tools, increasing data accessibility and encouraging data-driven decision making across the organization. Automate data analysis to improve and enhance data. Adept at picking up new tools and technologies. Manage large complex projects involving diverse datasets. Excellent technology communication and thought leadership skills. Support development of Artificial Intelligence (AI)/ML based pipelines for data inference. Apply supervised, unsupervised, and NLP Machine Learning (ML) algorithms for clustering, classification dimensionality reduction, and metadata extraction & content analysis. Work in cross-functional engineering and product development teams with data at all stages of the analysis lifecycle to derive actionable insight. Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations to improve data ingestion, increase data scaling, and enhance data exploitation to ensure more interoperable and secure data. Verify data quality and/or ensure it via data cleaning for accuracy and completeness. Perform statistical analysis and utilize results to improve the model and data pipeline. Design, develop, and maintain ETLs to extract, transform the data into existing data warehouses. Collaborate with analytics teams and SMEs to improve data models that feed business intelligence tools, increasing data accessibility and encouraging data-driven decision making across the organization. Automate data analysis to improve and enhance data. Adept at picking up new tools and technologies. Manage large complex projects involving diverse datasets. Excellent technology communication and thought leadership skills. Qualifications: BS or MS degree in Computer Science, Engineering, Information Technology Management or related technical field. 7+ years’ experience obtaining data from multiple, disparate data sources including structured, semi-structured and unstructured data. Demonstrable expertise in data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics). Proficiency in tools and languages such as Graph DBs, PostgreSQL/SQL, Python, or Java. Experience using ML algorithms packages contained in AWS SageMaker or open-source libraries (Python, C++, etc.) Experience developing, verifying, and monitoring AI/ML Models Familiarity with DevOps processes and code versioning tools such as git Knowledge of software development methodologies (e.g., Agile, Scrum). Problem-solving skills and the ability to work independently and collaboratively. Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with containerization technologies (e.g., 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. #JT About NT Concepts Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission—solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative “big idea” problem-solving. Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients’ most critical challenges. Here, you’ll gain competitive benefits, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack, which paves the way for positive social change. If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we’d love to have you move forward with us.

Responsibilities

The Senior Data Scientist will lead the development of AI/ML-based pipelines for data inference and deliver quality production solutions. This role involves analyzing complex datasets to derive actionable insights and improve data processes.