Affordability Analyst/Acquisition Data Scientist

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 85,000 - 195,000

Full time

12 days ago

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Benefits offered by this job

Bonuses or other forms of compensation

Sign-on bonus

Relocation benefits

Retirement plans

Paid time off

Medical

Dental

Vision

Life insurance

Short-term disability

Long-term disability

Flexible spending accounts

Education assistance

Training and development

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking an Acquisition Data Scientist to enhance cost and schedule estimation across DoW and US Government programs. You will collect, preprocess, and analyze financial data, develop cost estimating relationships, and build scalable data operations for credible estimates.

You will support affordability studies, earned value management forecasting, and decision frameworks using Python, SQL, MATLAB, R, and related cost estimating

Qualifications

Bachelor's degree in data science, analytics, statistics, economics, CS, math, engineering, OR.
Experience organizing data into scalable structures and performing data analysis.
Proficient Python and SQL programming.
Knowledge of multiple statistical packages (Python, R, SAS, MATLAB, etc.).
Able to obtain Interim Secret clearance; U.S. citizenship required.

Responsibilities

Aggregate cost and parametric data from structured and unstructured sources to improve cost estimating relationships.
Contribute to affordability analyses, decision frameworks, data visualization, and sensitivity analysis.
Build cost and schedule estimates using statistical analysis, modeling & simulation, and cost databases.
Design and operate DataOps pipelines for scalable analytics across defense programs.
Collaborate with staff across domains to support diverse defense acquisition studies.

Skills

Python

SQL

Data analysis

Data management

Statistical methods

Data visualization

DevOps

Network science

Education

Bachelor's degree

Master's degree

Ph.D.

Tools

ACEIT

Price Trueplanning

Excel

MATLAB

SAS

Tableau

Power BI

DAMIR

CADE

VAMOSC

USASpending.gov

Job description

Description

Are you seeking an opportunity to implement novel analytic process and methods that improve acquisition program cost and schedule execution?

Are you motivated by taking disparate data sources and building structured analytic frameworks that support important resource allocation decisions?

If so, we're looking for someone like you to join our team at APL!

We are seeking an Acquisition Data Scientist to help develop next-generation project management cost and schedule control techniques across the full data science pipeline in support of DoW / US Govt. Sponsors. Significant tasks will include the collection, pre-processing, normalization, statistical analysis, and development operations (e.g., DevOps) of financial and parametric data in order to generate credible cost and schedule estimates.

You'll be joining a hardworking team of analysts who incorporate affordability and cost considerations into the critical solutions to the critical challenges our nation faces. As a member of our team, you will contribute to network-based schedule risk assessments, trade space studies (e.g., Analysis of Alternatives, Business Case Analyses, Economic Analyses), affordability studies (e.g., Life Cycle Cost Estimates, Total Ownership Costs), and earned value management (EVM) forecasting.

As an Affordability Analyst/Acquisition Data Scientist, you will...

Be responsible for aggregating cost and parametric data of government projects through both structured (DAMIR, CADE, VAMOSC, USASpending.gov) and unstructured (open-source web website, LLMs, domain expert interviews) research in order to improve upon existing or generate new and innovative cost estimating relationships.
Contribute to studies that quantify best value assessments through affordability analysis, decision frameworks, data visualization, sensitivity analysis, and data management.
Learn to build cost and schedule estimates integrating statistical analysis, network science, modeling & simulation (M&S), cost databases, and expert opinion in Excel, MATLAB, Python, R, and cost estimating software (e.g., ACEIT and Price Trueplanning).
Design, implement, and operationalize data operations (DataOps) pipelines that support scalable, and reliable data analytics across defense acquisition programs.
Collaborate with APL staff from all sectors and departments on technical studies across land, sea, air, space, and cyberspace domains.

Qualifications

You meet our minimum qualifications for the job if you...

Have a Bachelor's degree in data science, business analytics, statistics, economics, computer science, mathematics, engineering, operations research, or a related field.
Have proven experience organizing data into flexible, scalable, and reusable structures, performing comprehensive data analysis, and establishing data management frameworks.
Have proficient software programming capabilities in Python and SQL.
Have knowledge of at least several statistical analysis and simulation packages (Python [SciPy, iGraph, Statsmodels, PyMC, NumPY], R, Stata, SAS, JMP, MATLAB, @Risk etc.).
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll go above and beyond our minimum requirements if you...

Have a Master's degree, or Ph.D, in data science, business analytics, statistics, economics, computer science, mathematics, engineering, or operations research.
Have proficient software programming capabilities in Java, JavaScript, and/or C++
Have a certification related to cost analysis (DAWIA or CCEA) and/or earned value management (EVMP)
Have domain expertise in creating data analysis dashboards through Shiny, Python, JavaScript, CSS, Visual Basic, Tableau, etc.

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About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.