NOVACES · Baltimore, MD

Salary
Posted
Jul 13, 2026
Location
Baltimore, MD
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior-level data science role supporting U.S. Coast Guard logistics operations at a Baltimore, MD facility, contingent on contract award. Day-to-day work centers on building and maintaining ETL pipelines, predictive and statistical models, and dashboards that draw on multiple logistics and warehouse management systems. Suited to candidates with substantial federal or defense logistics analytics experience who can obtain a government security clearance.

Senior level · 8+ years · Baltimore-Columbia-Towson, MD · Bachelor's required · Confidential clearance

Must have (6)
statistical modelingETLdata visualizationdashboardsdata modelinganalytics
Nice to have (4)
Python, R or SasSQLcloud platforms, AWS, Azure or GCPAgile

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

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
statistical modeling60%data visualization55%data modeling40%

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

What the occupation pays Median $137,274 (middle half $105,061–$170,815).

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)

This position is explicitly contingent on contract award — candidates should be aware the role may not materialize if NOVACES does not win the contract.

The clearance requirement is stated as 'Tier 1' (equivalent to a National Agency Check with Inquiries / NACI), which maps most closely to the Confidential level; it is not a full Secret or TS/SCI gate, but candidates must be able to obtain it.

The role blends data science (predictive/statistical modeling) with data engineering (ETL, pipeline automation, integration), making the SOC classification a genuine judgment call between Data Scientists (15-2051) and Database Architects (15-1243); the modeling and analytics emphasis tips the balance toward 15-2051.

Work location is described as primarily onsite in Baltimore, MD, with possible partial remote support from a CONUS location subject to Government approval — this is not a fully remote role.

No specific tools, languages, or platforms are named in the JD; specific skills such as Python, SQL, and cloud platforms are inferred from the described responsibilities and domain norms but appear nowhere in the posting as explicit requirements.

An advanced degree (Master's or higher) is listed as preferred, not required; the hard minimum is a Bachelor's degree.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling, data engineering.

Requires a Confidential 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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