Data Scientist

at  Amentum

Amentum is a leading global provider of technical and engineering services to government and commercial customers. We are dedicated to delivering innovative solutions to complex challenges in the defense, intelligence, and civilian markets. With 50,000 employees worldwide, we leverage our extensive experience, cutting-edge technology, and proven processes to provide exceptional value to our customers.

We provide:

• Industry leading benefits
• Opportunity to work with sharp technical talent
• Open Exchange in Group setting
• First-in-class professional training, development & mentorship
• Chances to enhance and innovate high level national security assets
• Comprehensive Benefits Package
• 401k % pay per period plan, matching up to 6% of employees contributions (Roth or traditional)
• Parental leave up to 10 weeks
• Growth opportunities
• Wellness programs and Company Discounts
• Medical, dental, and vision insurance premiums and related expenses (HDHP, PPOs, regular HMOs, preventative medical plans).
• Basic life and AD&D insurance
• Leave benefits
• Life insurance
• Paid time off/ 10 holidays a year

Amentum is currently seeking a Data Scientist/Data Analyst to join our award winning team. We are seeking a person with a Bachelors Degree in math, computer engineering, computer science, statistics, or data science related field with 4 years experience or a Masters degree and 2 years experience. Some research assistant positions can count as experience.

Responsibilities:

• To support analysis of software performance characteristics in the analysis of software related testing metrics and data analysis used to measure analytical trends for decision making models.
• To be given a problem set to bring some form of structure to an unorganized data, create a visualization method with charts, graphs and other forms of visual tool to enable analysis against different variables and relationships.
• To take lead in summarizing the influence of certain variables on outcomes to aid the software and systems engineering teams with in-depth big data analysis.
• To perform data analytics, data cleaning, create algorithms, and create data visualizations

Basic Qualifications:

• Bachelors Degree in math, computer engineering, computer science, statistics, or data science related field with 4 years experience or a Masters degree and 2 years experience.
• Possession or desire to pursue a Comptia Security+ or equivalent Certification or ability to obtain within 1 month of start
• Ability to obtain and maintain an active SECRET security clearance. Note: US citizenship is required to obtain a security clearance.

Preferred Qualifications:
Experience with tools such as Power BI, Python, R, Jupyter Notebook, Tableau, SAS, SQL and other data analysis tools.
Ability to Commute to Fredericksburg, VA (1 hour south of Washington D.C.)
Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran’s status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.
Labor Law Posters
EEO including Disability/Protected Veteran

• To support analysis of software performance characteristics in the analysis of software related testing metrics and data analysis used to measure analytical trends for decision making models.
• To be given a problem set to bring some form of structure to an unorganized data, create a visualization method with charts, graphs and other forms of visual tool to enable analysis against different variables and relationships.
• To take lead in summarizing the influence of certain variables on outcomes to aid the software and systems engineering teams with in-depth big data analysis.
• To perform data analytics, data cleaning, create algorithms, and create data visualization