Camp Lejeune, NC

Salary
Posted
Jul 5, 2026
Location
Camp Lejeune, NC
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A data scientist role embedded with Marine Corps Special Operations Command at Camp Lejeune, NC, supporting the command's data-driven decision-making and digital transformation. Day-to-day work spans building and maintaining data pipelines, applying statistical and machine learning techniques, developing predictive models and NLP solutions, and communicating findings to non-technical stakeholders. Suits candidates with at least a year of hands-on data science experience, a STEM degree, and an active TS/SCI clearance.

Junior level · 1+ years · Jacksonville, NC · Bachelor's required · TS/SCI clearance · Full-time

Must have (4)
Python, R, Java or C++machine learningstatisticsSQL
Nice to have (6)
NLPSpark or HadoopTableau, Power BI or R ShinyNumPy, Scipy or PandasDatabricks, Ibm Cloud Pak, Cloudera or SnowflakeCI/CD

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What won't set you apart
Python88%machine learning80%SQL72%statistics60%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $121,709 (middle half $84,253–$150,784).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (8)

The role requires a minimum of only 1 year of hands-on Data Science experience and a Bachelor's in a STEM field, placing it firmly at the Junior level despite the broad scope of responsibilities described.

A Top Secret clearance with SCI eligibility is explicitly stated as required — this is a hard gate.

Python (or R, Java, C++) is listed under Requirements as a hard gate; the 'or similar' framing means the specific language is interchangeable, so alternatives are captured accordingly.

Spark/Hadoop, Tableau/Power BI/R Shiny, NumPy/SciPy/Pandas, and Databricks/IBM Cloud Pak/Cloudera/Snowflake all appear in the responsibilities narrative rather than under a formal Requirements or Preferred section — treated as preferred stack context.

NLP and CI/CD appear in the responsibilities/company narrative sections only, not under Requirements — treated as preferred.

A Master's degree in a relevant field is listed under Preferred Qualifications — not a hard requirement.

The role has a dual data-science/data-engineering character (pipeline design plus ML/modeling); 15-2051 Data Scientists is the primary fit given the ML, statistics, and modeling emphasis, with 15-1243 Database Architects as a secondary consideration for the data pipeline/engineering component.

Requires a TS/SCI clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.

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