Amentum

DataScientist-Senior

$0–0k Hampton, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Scientist - Senior at Amentum. Skills: Data Science, Machine Learning, Statistical Analysis, Data Visualization. Perform advanced data analytics. Perform data mining”

What You'll Achieve.

Drive data-informed decision-making; Improve operational efficiency; Support a meaningful mission; Influence outcomes of national importance; Make a measurable difference

Industry & Context.

Problems you'll solve

Transforming complex datasets into actionable insights

Eligibility Requirements

Contingent upon award of contract, Business needs, Funding availability, Strict adherence to DoD, Air Force, and IC cybersecurity, information assurance, and intelligence oversight standards, Willingness to comply with all DoD, Air Force, and local security and conduct standards, Ability to complete required training, Maintain qualifications throughout the contract, Availability for CONUS and OCONUS support, Ability to obtain and maintain required program, system, and facility access, TS/SCI eligibility

What They're Looking For.

Must Have

DOD Cyber Workforce Framework (DCWF) Training Code 423 Advanced proficiency requirements, Experience working with large-scale and complex datasets, Proficiency in Python, Proficiency in R, Expertise in Power BI, Expertise in Tableau, Experience managing and merging disparate data sources, Master’s degree or bachelor’s degree with at least five years of related senior-level experience in data science, 10 years or relevant data science, Must meet DoD 8140.02 / DoDM 8140.03 Cyberspace Workforce Qualification Requirements, Appropriate DCWF role alignment, Certification eligibility prior to contract performance

Nice to Have

Background in advanced analytics within intelligence, defense, or similar data-intensive domains, Experience in developing and deploying automated AI/ML solutions, Familiarity with Azure, Familiarity with AWS, Familiarity with GCP, Experience with Spark, Experience with Hadoop, written and verbal communication skills

What You'll Do.

Perform advanced data analytics

Perform statistical analysis

Design machine learning models

Develop machine learning models

Build predictive models

Validate predictive models

Deploy predictive models

Conduct exploratory data analysis

Translate analytical findings

Develop AI-based tools

Automate business processes

Ensure data integrity

Ensure data governance

How You'll Work.

Team & Collaboration

Collaborate with cross-functional teams; Support strategic decision-making; Support operational decision-making

Communication Scope

Compelling visual storytelling; Compelling narrative storytelling; Clear written narratives; Compelling written narratives; Clear verbal narratives; Compelling verbal narratives

Full Job Description

This position is contingent upon award of contract, business needs, and funding availability. We are seeking a highly skilled and experienced **Data Scientist** to join our team of passionate individuals in supporting the Air Force’s Air Combat Command (ACC) Intelligence, Surveillance, and Reconnaissance (ISR) Enterprise program. As our data scientist, you’ll lead advanced analytic efforts and drive data-informed decision-making across the organization. This role involves conducting end-to-end data science activities—including data engineering, exploratory analysis, predictive modeling, and statistical analysis—while transforming complex datasets into actionable insights through compelling visual and narrative storytelling. The ideal candidate will proactively identify and retrieve relevant data from diverse sources, build scalable machine learning (ML) solutions, and develop AI-driven tools to automate analytical processes and improve operational efficiency. Joining this program offers candidates the opportunity to apply their skills where they matter most - supporting a meaningful mission, influencing outcomes of national importance, and being part of a trusted team, whose work makes a measurable difference every day. **Essential Responsibilities: (**_describe the day-to-day_**)** · Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights. · Design and develop machine learning models, including recommendation engines and automated scoring systems. · Build, validate, and deploy high-quality predictive models and analytical solutions. · Conduct exploratory data analysis to identify trends, anomalies, and opportunities. · Integrate and manage large, disparate datasets from multiple structured and unstructured sources. · Develop and automate workflows for data processing, model training, and reporting. · Translate analytical findings into clear, compelling visual, written, and verbal narratives. · Collaborate with cross-fun

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