Data Scientist

CompQsoft, Inc.; Herndon (VA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

CompQsoft, Inc. in Herndon, VA, is seeking a Data Scientist on a long-term contract to support the Department of State. You will help build predictive analytics, develop models, and guide data-driven decisions in a fast-paced team.

The role emphasizes hands-on data science, collaboration with architects and cloud engineers, and delivering scalable, secure analytics solutions with a focus on governance and compliance for enterprise data platforms.

Qualifications

• Bachelor's degree in STEM with Data Science focus.
• Minimum 2 years of data science experience.
• Strong written and verbal communication to diverse stakeholders.
• Ability to design collection, cleaning, and analysis of large datasets.
• Proven experience with statistical methods and ML for predictive models.
• Experience programming in Python, R, and/or Scala.
• Active Secret clearance (Interim acceptable).

Responsibilities

• Develop data analytics products and AI services.
• Design and transform large datasets to identify patterns and insights.
• Implement data-driven solutions using LLMs, including prep and fine-tuning.
• Collaborate with cross-functional teams to integrate LLM capabilities.
• Adhere to architectural governance and sustainable development.
• Support predictive analytics model design.
• Assist in architecture and implementation of large-scale data analytics projects.

Skills

Python

R

Scala

Communication

Statistical methods

Machine learning

Education

Bachelor's degree in STEM field

Tools

PowerBI

Tableau

R Shiny

Jupyter

Zeppelin

Azure Data Factory

Databricks

Synapse

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.