Job description

Overview Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism. What You’ll Do This role is ideal for an experienced data professional who with experience in Machine Learning and Data Science modeling. Experience should include cleaning data, building basic models, and supporting dashboards. This is a hybrid position that requires the employee to work on-site three days per week. Responsibilities You’ll help build and maintain data assets that support Finance (forecasting, variance analysis, program financial health) and Procurement / Supply Chain (cycle time, supplier performance, inventory and readiness). Over time, you’ll be exposed to increasingly complex modeling (forecasting, optimization, risk scoring) and modern data practices. Key Responsibilities: • Data Foundations & Preparation (25%) • Dashboards, Reporting & Automation (25%) • Finance Analytics Support (20%) • Procurement & Supply Chain Analytics Support (20%) • Mentoring others in Math & Data Principles Qualifications Minimum Qualifications • Master's degree in quantitative or related discipline (e.g., Data Analytics, Statistics, Mathematics, Computer Science, Finance, Supply Chain, Industrial Engineering). Experience: • 4+ years of experience in a data related role. • Experience leading development of regression analysis, Clustering/Classification models, ML algorithms, and Gradient Boosted Tree models or any forecasting or optimization projects. • Ability to demonstrate proficiency in: • SQL for queries, joins, common table expressions and window functions. • Expert in Microsoft Excel. • PowerBI • Familiarity with at least one analytical or scripting language (Python preferred) for data wrangling and EDA. • Ability to build basic dashboards or reports in a BI tool (e.g., Power BI(preferred), Tableau, or similar). • Familiarity with the SDLC is a nice-to-have. • Knowledge of .NET, Angular, HTML/CSS are nice-to-have. • Experience with application frameworks such as Flask or Shiny for Python are nice-to-have. Clearance: • Must possess or be able to obtain and maintain a Common Access Card (CAC) through the National Agency Check and Inquiries (NACI) process. • U.S. Citizenship required for security clearance eligibility. Other Requirements: • • Strong analytical mindset. • Comfortable working with messy, real-world data. • Able to interpret trends and communicate findings clearly in writing and presentations. Skills and Technology Used: • • Python • PowerBI • Microsoft SQL Server • Microsoft Azure • Microsoft Excel What We Bring • At V2X we strive to be market competitive in our total reward offerings. • The successful candidate’s starting pay will be based on, but not limited to, their job-related skills, experience, qualifications, work location, and market conditions. • Please speak with a recruiter for additional information Employee benefits include the following: • • Healthcare coverage • Life insurance, AD&D, and disability benefits • Retirement plan • Wellness programs • Paid time off, including holidays • Learning and Development resources • Employee assistance resources • The following salary range is intended to display the value of the company's base pay compensation and may be modified at the discretion of the company. USD $115,000.00 – $125,000.00 • Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans. At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

Requirements

Must-haves

What You’ll Do
This role is ideal for an experienced data professional who with experience in Machine Learning and Data Science modeling. Experience should include cleaning data, building basic models, and supporting dashboards.
This is a hybrid position that requires the employee to work on-site three days per week.
Data Foundations & Preparation (25%)
Dashboards, Reporting & Automation (25%)
Finance Analytics Support (20%)
Procurement & Supply Chain Analytics Support (20%)
Mentoring others in Math & Data Principles
Master's degree in quantitative or related discipline (e.g., Data Analytics, Statistics, Mathematics, Computer Science, Finance, Supply Chain, Industrial Engineering).
4+ years of experience in a data related role.
Experience leading development of regression analysis, Clustering/Classification models, ML algorithms, and Gradient Boosted Tree models or any forecasting or optimization projects.
Ability to demonstrate proficiency in: • SQL for queries, joins, common table expressions and window functions.
Expert in Microsoft Excel.
Must possess or be able to obtain and maintain a Common Access Card (CAC) through the National Agency Check and Inquiries (NACI) process.
U.S. Citizenship required for security clearance eligibility.
Strong analytical mindset.
Comfortable working with messy, real-world data.
Able to interpret trends and communicate findings clearly in writing and presentations.
Microsoft SQL Server

Nice-to-haves

Familiarity with at least one analytical or scripting language (Python preferred) for data wrangling and EDA.
Ability to build basic dashboards or reports in a BI tool (e.g., Power BI(preferred), Tableau, or similar).
Familiarity with the SDLC is a nice-to-have.
Knowledge of .NET, Angular, HTML/CSS are nice-to-have.
Experience with application frameworks such as Flask or Shiny for Python are nice-to-have.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlsqlpythonangularazure

Platform: jibe
Effort: medium

Benefits

Benefits detected in the listing.

Vision

Paid Time Off

Wellness