Data Scientist (AI)

Location: On-site in Herndon, Virginia, United States

Company

Small woman-owned IT services company delivering cybersecurity, Big Data and database, software development, systems testing, compliance training, security camera and access-control, and construction and facilities services.

What you will do

• Develop data analytics products, AI services, and enterprise data science capabilities for a Department of State consular systems modernization program.
• Design and implement the collection, cleaning, transformation, and analysis of large, complex datasets to identify patterns, trends, and actionable insights.
• Develop data-driven solutions using Large Language Models, including data preparation, deployment, model fine-tuning, and evaluation.
• Integrate LLM capabilities into products, services, and decision-making processes with cross-functional teams.
• Support predictive and prescriptive analytics model development using advanced statistical and machine learning techniques.
• Inform architecture and implementation decisions for large-scale analytics projects while following architectural governance and sustainable development practices.

Requirements

• Bachelor's degree in a STEM field with a concentration in Data Science.
• At least 2 years of relevant data science experience.
• Strong written and verbal communication skills, including the ability to explain complex data findings to technical and non-technical stakeholders.
• Ability to design the collection, cleaning, and analysis of large, complex datasets to identify patterns, trends, and actionable insights.
• Experience applying advanced statistical methods, machine learning techniques, and programming tools to develop predictive and prescriptive models for data-driven decision-making.
• Programming experience in Python, R, and/or Scala.
• Active Secret or higher security clearance; interim clearances are acceptable.

Nice to have

• Previous experience as a Software Developer.
• Experience delivering data analytics and AI services in AI development environments.
• Background in cloud-based architecture and scalable data engineering ecosystems.
• Experience creating data analytics visualizations and dashboards with Power BI, Tableau, or R Shiny.
• Experience with notebook environments such as Jupyter or Zeppelin.
• Experience with Synapse, Azure Data Factory, and Databricks.

Culture & Benefits

• On-site, full-time position in Herndon, Virginia.
• Health, dental, vision, and life insurance coverage.
• 401(k) with company contribution.
• Paid time off, paid holidays, and birthday PTO.
• Tuition or education reimbursement.