Data Scientist

Cinteot; Herndon (VA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Complete insurance coverage

401k with company contribution

Tuition reimbursement

Generous paid time off

Job summary

Cinteot seeks a Data Scientist to support the DOS CSM program in Herndon, VA, onsite. You’ll blend predictive analytics with hands-on development of enterprise analytics and LLM capabilities to shape data science tools used for real decision-making.

You’ll design data pipelines, work with LLMs for deployment and evaluation, and collaborate across teams to embed analytics in products and workflows.

Qualifications

• Bachelor’s degree in a STEM field, with a concentration in Data Science.
• Minimum 2 years of relevant data science experience.
• Strong written and verbal communication skills to explain complex findings to both technical and non-technical stakeholders.
• Ability to design data collection, cleaning, and analysis approaches for large, complex datasets to identify meaningful insights.
• Proven experience applying advanced statistics, machine learning techniques, and programming tools to develop predictive and prescriptive models for data-driven decision-making.
• Demonstrated programming experience in Python, R, and/or Scala.
• Active Secret (or higher) clearance. Interim clearances are acceptable.

Responsibilities

• Develop data analytics products, AI services, and enterprise data science capabilities.
• Design and build end-to-end pipelines for collecting, cleaning, transforming, and analyzing large datasets to surface patterns and insights.
• Leverage Large Language Models (LLMs) to deliver data-driven solutions, including data preparation, deployment, model fine-tuning, and evaluation.
• Partner with cross-functional teams to integrate LLM capabilities into products, services, and decision-making workflows.
• Follow architectural governance and apply sustainable development practices.
• Support the design of predictive analytics models using data analytics and machine learning techniques.
• Contribute to the architecture and implementation of large-scale data analytics initiatives.

Skills

Python

R

Scala

Data science

Statistics

Communication

Security clearance

Education

Bachelor's degree in STEM/Data Science

Tools

PowerBI

Tableau

R Shiny

Jupyter

Zeppelin

Synapse

Azure Data Factory

Databricks

Job description

Cinteot is seeking a Data Scientist to support the Department of State (DOS) Consular Systems Modernization (CSM) Program in Herndon, VA (onsite). This role blends predictive analytics with hands-on development of enterprise analytics and LLM capabilities, helping shape the architecture and delivery of data science tools used for real decision-making.

What you’ll do

• Develop data analytics products, AI services, and enterprise data science capabilities.
• Design and build the end-to-end pipeline for collecting, cleaning, transforming, and analyzing large, complex datasets to surface patterns, trends, and actionable insights.
• Leverage Large Language Models (LLMs) to deliver data-driven solutions, including data preparation, deployment, model fine-tuning, and evaluation to power innovative applications.
• Partner with cross-functional teams to integrate LLM capabilities into products, services, and decision-making workflows.
• Follow architectural governance and apply sustainable development practices.
• Support the design of predictive analytics models using data analytics and machine learning techniques.
• Contribute to the architecture and implementation of large-scale data analytics initiatives.

Qualifications

• Bachelor’s degree in a STEM field, with a concentration in Data Science.
• Minimum 2 years of relevant data science experience.
• Strong written and verbal communication skills to explain complex findings to both technical and non-technical stakeholders.
• Ability to design data collection, cleaning, and analysis approaches for large, complex datasets to identify meaningful insights.
• Proven experience applying advanced statistics, machine learning techniques, and programming tools to develop predictive and prescriptive models for data-driven decision-making.
• Demonstrated programming experience in Python, R, and/or Scala.
• Active Secret (or higher) clearance. Interim clearances are acceptable.

Tools you’ll work with

• Large Language Models (LLMs), Python, R, Scala
• PowerBI, Tableau, R Shiny, Jupyter, Zeppelin
• Synapse, Azure Data Factory, Databricks

Benefits

• Complete insurance coverage, including Blue Cross Medical, Delta Dental, vision, and life
• 401k with company contribution
• Tuition reimbursement
• Generous paid time off, including your birthday

Preferred qualifications

• 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 using PowerBI, Tableau, or R Shiny
• Experience working in notebook environments such as Jupyter or Zeppelin
• Experience with Synapse, Azure Data Factory, and Databricks