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Sr. Data Scientist - (UDS)

Lyteworx Automation Systems
Full-time
On-site
Alexandria, Virginia, United States
Big Data
Lyteworx Automation Systems (Lyteworx) is seeking talented individuals to join our team of technology pioneers. With over 16 years of experience, we have honed our core capabilities in IT infrastructure engineering, cyber security, data science, and artificial intelligence. Our comprehensive suite of engineering and technical support services caters to clients across defense, intelligence, and commercial sectors. If you have a passion for cutting-edge technology and a drive to push the boundaries of innovation, Lyteworx is the place for you. Join us and be part of a team that is shaping the future of technology.

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Requirements

We are seeking experienced professionals to join our innovative team, driving advancements in data science and AI-powered solutions. As a Senior-Level Data Scientist, you will lead the development of advanced analytics, machine learning models, and data-driven strategies to extract actionable insights from complex datasets.

 

This role involves designing and implementing innovative solutions for processing, analyzing, and visualizing structured and unstructured data. Leveraging expertise in AI/ML, high-performance computing, and DevSecOps practices, you will collaborate with cross-functional teams to deliver secure, scalable solutions that empower decision-making in critical operational environments.


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Security Clearance:  Top Secret

 

Location:  National Capital Region (NCR) , Falls Church, Alexandria, Arlington. With Remote

 

Education: Bachelor’s degree plus 7-10 years experience, or a Masters Degree plus 5 years of experience.

 

Skills & Experience:  

 

Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory

Hands-on experience with Natural Language Processing (NLP), Large Language Models, text embedding, semantic query, use of generative AI for text, and retrieval augmented generation (RAG)

Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects

Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks

Experience with version control systems like Git, enabling effective collaboration and code management

Experience in an ML engineer or data scientist role building ML models

Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility

Experience using Apache Spark/Databricks distributed compute environments for AI/ML workloads

Experience handling petabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models

Experience with cloud-based data persistence products, especially RDS PostgreSQL and PostgreSQL extensions such as pgvector.

Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations

 
 

 

Major Duties:

 

Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases;

Collaborate with cross-functional teams, including data scientists and software engineers to integrate AI solutions developed by other elements of CDAO or the DoD community into Search Portfolio products when appropriate

Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, specifically Apache Spark/Databricks. Ability to adapt code base to also run using GPU enabled Kubernetes clusters.

Stay updated on and contribute to the latest advancements in AI research, applying new findings to improve Search Portfolio products

Manage the lifecycle of AI/ML components used in Search Portfolio products from research and development to deployment and optimization

Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance;

Documents and presents requirements, design alternatives, and findings to team members and clients;

Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships; and

Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools.

Maintains and guides the development of common libraries and tools used by multiple teams.

Aids in formulating a strategy on how to achieve rapid prototyping

Benefits

At Lyteworx, we prioritize the well-being and satisfaction of our employees. To that end, we offer a comprehensive benefits package that includes medical, dental, and vision insurance, as well as life and disability insurance options. Our employees also enjoy a 401(k) plan with employer matching contributions, generous paid time off, and flexible scheduling options to help them balance their work and personal lives.

We believe that our employees are our greatest asset, and we are dedicated to providing them with the resources and support they need to achieve their goals and succeed in their careers.


  • 401K Plan
  • Vacation and Paid Time Off (PTO)
  • Health, Dental & Vision Insurance
  • Life & Supplemental Life Insurance
  • Disability & Accidental Death & Dismemberment
  • Mental Health Care
  • Health Saving Account (HSA)