Data Science Lead at SOSi
Doral
—
Jun 29, 2026
Doral
Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role supporting a DoD program focused on building a federated data ecosystem for cross-agency information sharing and analytics. The position involves overseeing the design and deployment of predictive and prescriptive AI/ML models, coordinating large-scale compute infrastructure, and bridging data science and data engineering teams within Agile development cycles. Suits experienced AI/ML practitioners with an active TS/SCI clearance.
Senior level · 11+ years · National · TS/SCI clearance
“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 (8)
The role title is 'Data Science Lead' with no explicit seniority level in the title; advertised seniority is set to Unspecified. However, the 11-year equivalent experience gate and enterprise-level leadership scope clearly support a Senior classification.
Degree requirement is set to None: the JD offers a Master's degree OR 11 years of equivalent experience as alternatives, so no degree is hard-gated.
The 11-year experience figure is drawn from the explicit 'or equivalent experience' alternative to the Master's degree; it also represents the overall role-level experience floor and is captured as the overall years minimum.
AWS, Azure, and Databricks are listed together as interchangeable cloud-based data science environments ('such as AWS, Azure, or Databricks'); they are captured as one skill with alternatives rather than three separate entries.
The role has a meaningful leadership/oversight dimension (overseeing teams, sprint management, stakeholder engagement) that could support 11-3021 (Computer and Information Systems Managers), but the primary day-to-day work described — developing, deploying, and evaluating predictive/prescriptive analytics and AI/ML models — aligns more closely with 15-2051 Data Scientists.
No work location is specified in the posting; CBSA and state fields are left blank. The role is for a DoD customer and requires TS/SCI, suggesting a US-based position.
Certifications (AWS ML Specialty, Azure AI Engineer Associate, CAP) are listed under 'Preferred Qualifications: Desirable but not required' and are marked accordingly.
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.
Read the full posting
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