Data Scientist

CompQsoft Inc; Herndon, Northern (VA, KY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

CompQsoft Inc. in Herndon, VA is seeking a Data Scientist to advance predictive analytics, build ML models, and collaborate with architects and product leadership to deliver scalable data solutions.

Ideal candidates have 2+ years of data science experience, strong Python/R/Scala skills, and an active Secret clearance or higher. This role emphasizes hands-on development and cross-functional teamwork in a fast-paced environment.

Qualifications

• Bachelor's degree in STEM with Data Science focus.
• 2+ years of relevant data science experience.
• Strong communication skills to explain complex findings.
• Ability to design collection, cleaning, and analysis of large datasets.
• Proven experience applying advanced statistical methods and ML techniques.
• Experience programming in Python, R, or Scala.
• Active Secret (or higher) clearance; interim clearances acceptable.

Responsibilities

• Develop data analytics products, AI services, and enterprise data science capabilities.
• Design and develop collection, cleaning, transformation, and analysis of large, complex datasets.
• Develop and implement data-driven solutions using LLMs, including prep, deployment, fine-tuning, evaluation.
• Collaborate with cross-functional teams to integrate LLM capabilities into products and decisions.
• Adhere to architectural governance and sustainable development practices.
• Support design of predictive analytics models using ML techniques.
• Help inform architecture and implementation of large-scale data analytics projects.

Skills

Python

R

Scala

Machine Learning

Statistical Analysis

Communication

Education

Bachelor's degree in STEM field with Data Science focus

Tools

PowerBI

Tableau

Jupyter

Azure Databricks

Job description

Description

Title: Data Scientist

Location: Herndon, VA

Duration: Long-term Contract

Client: Dept of State

Clearance: Active secret or higher

Requirements

The Data Scientist will support predictive analytics, model development and help inform architectural decisions for data science tools supporting an overall enterprise predictive analytics platform. Stellar communication skills, forward thinking, and the ability to work in a fast-paced team environment will be pivotal. This role will serve as a hands-on data science solution developer, partnering with enterprise architects, cloud engineering teams, and product leadership to ensure scalable, secure, and sustainable solutions.

Roles and Responsibilities:

• Develop data analytics products, AI services, and enterprise data science capabilities.
• Design and develop the collection, cleaning, transformation, and analysis of large, complex datasets to identify patterns, trends, and actionable insights.
• Develop and implement data-driven solutions by leveraging Large Language Models (LLMs), including data preparation, deployment, model fine-tuning, and evaluation to create innovative applications.
• Work with cross-functional teams to integrate LLM capabilities into products, services, and decision-making processes.
• Ahere to architectural governance and utilize sustainable development practices.
• Support the design of predictive analytics models using data analytics and machine learning techniques.
• Help inform the architecture and implementation of large-scale data analytics projects.

Basic Qualifications:

• Bachelor's degree in STEM field, concentration in Data Science.
• Minimum 2 years of relevant data science experience.
• Strong communication skills (written and verbal) with the ability to clearly communicate 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.
• Proven experience applying advanced statistical methods, machine learning techniques, and programming tools to develop predictive and prescriptive models that support data-driven decision-making.
• Demonstrated ability programming in Python, R, and/or Scala.
• Active Secret (or higher) clearance. Interim clearances are acceptable.

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 tools such as PowerBI, Tableau or R Shiny.
• Experience working within notebook environments such as Jupyter or Zeppelin.
• Experience with Synapse, Azure Data Factory, Databricks.

CompQsoft provides equal opportunity in all aspects of employment and in the working environment to all employees and applicants. CompQsoft does not take any non-merit factors like race, color, religion, sex (gender), mental/physical disability, and age into account for purposes of recruitment, hiring and development.