Senior Data Scientist - US Coast Guard
TLN Worldwide Enterprises Inc · Baltimore, MD
$100,000–$140,000
Jul 19, 2026
Baltimore, MD
Jul 21, 2026
What this job asks for AI summary
A senior-level data science role supporting U.S. Coast Guard logistics and business operations. The work centers on building and maintaining ETL pipelines, predictive and statistical models, and dashboards that serve leadership decision-making around asset readiness, inventory, and logistics performance. Suited to candidates with hands-on experience across the full data lifecycle — from ingestion and cleaning through modeling and visualization — ideally within a federal or defense environment.
Senior level · National
“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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
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 (6)
No work location is specified in the posting; CBSA and state fields are left blank. The role references SFLC (Surface Forces Logistics Center), which is a US Coast Guard command, suggesting a US-based position.
The posting names no specific tools or technologies in the Requirements section — all concrete tool names (Python, R, SQL, Power BI, Tableau, Excel) appear only under Preferred Qualifications, so they are marked as preferred.
The alt SOC 15-1243 (Database Architects) reflects the significant ETL pipeline and data integration emphasis; however, the predictive/statistical modeling and analytics focus tips the primary classification to Data Scientists (15-2051).
No security clearance is explicitly required, though the Coast Guard/DHS/DoD context under Preferred Qualifications suggests clearance eligibility may be informally expected. Candidates should verify with the employer.
No total years of experience or degree requirement is stated anywhere in the posting.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling, dashboard development, workflow automation.
Read the full posting
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