Sr Data Scientist

Vickers and Nolan Enterprises (VNE) is an engineering company that provides Government projects and programs with experienced and dedicated system architects, engineers, subject matter experts (in tactical intelligence), and program managers. VNE also develops training courses and tools to prepare warfighters to effectively employ tactical intelligence systems and provide management guidance to the Government organizations that develop these systems.

VNE has earned a reputation for exceptional performance, innovation, agility, and responsiveness in the Intelligence Community (IC). We attack our mission with a comprehensive understanding of the data available and required; skilled research, design, development, integration, and testing of systems and software solutions; expertise in cybersecurity/information assurance and technology; programmatic, acquisition, and logistics support know-how; and our own unique training curricula that enables students to excel at intelligence operations across all levels of the community.

VNE is devoted to improving tactical operations at home and abroad by enabling the seamless transition of data across the intelligence community and developing/integrating solutions to unify operations and intelligence.

VNE is a Service Disabled Veteran Owned Small Business (SDVOSB) founded in 2004 in Stafford, VA.

VNE, LLC is looking for a TS/SCI Cleared Sr Data Scientist

Minimum Qualifications:

Education:

• Bachelor's degree

Experience:

• 5+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation
• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• Experience with production-level systems, data lake environments, and streaming data, including Kafka
• Experience implementing end-to-end ML workflows from data prep to deployment and evaluation
• Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes
• Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search
• Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week

ADDITIONAL QUALIFICATIONS:

• Experience in collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines
• Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera
• Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
• Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• TS/SCI level Clearance required.

Essential Duties of the Job:

• Ability to communicate task requirement information to client in a clear and concise manner.
• Must be able to sit and stand for prolonged periods of time, as well as lead and participate in meetings and working groups.
• Requires visual acuity to use a keyboard.
• Must be able to attend work each day, during scheduled hours, unless on travel or approved time off.
• Ability to work on computer for long periods, and communicate with individuals by telephone, email and face-to-face

Physical Demands and Work Environment:

• While performing duties of job, employee is occasionally required to stand; walk; sit; use hand to finger, handle or feel objects, tools, or controls; reach with hands and arms; talk and hear.
• Employee must occasionally lift and/or move up to 50 pounds.
• Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
• May be exposed to chemicals related to office equipment.
• The noise level in the work environment is usually moderate (i.e. general office environment).

Benefits:

• 401 (K) w/ up to 3.5% Company Match
• Health, Dental & Vision Insurance
• Basic & Supplemental Life Insurance
• Short & Long Term Disability Insurance
• Flexible Spending Account
• 11 Paid Holidays
• Paid Time Off (PTO)
• Gym Membership (varies by location)
• Corporate-Sponsored Events