Senior Data Scientist bei NT Concepts

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.

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