Sr. Staff Data Scientist- Eng at UKG
Lowell, MA
—
Jun 28, 2026
Lowell, MA
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor data science role focused on setting multi-year technical strategy, designing cross-team ML architecture, and driving org-wide standards for AI and ML development — including generative AI, agentic systems, and LLMs. The position involves influencing product and engineering roadmaps at the executive level without direct managerial authority, and suits a deeply experienced practitioner with broad ML expertise and a track record of large-scale, multi-team technical leadership.
Principal level · 10+ years · National · Master's required
“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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $120,230 (middle half $85,660–$158,880).
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 (10)
No work location or remote policy is stated in the posting; CBSA and state are left blank. UKG (Ultimate Kronos Group) is headquartered in Lowell, MA / Weston, FL, but the JD gives no location signal.
The title is not given in the posting. The scope — org-wide technical strategy, multi-year roadmap ownership, mentoring senior ICs, influencing executive stakeholders without direct reports — is consistent with a Principal-level individual contributor, not a people manager, so 15-2051 (Data Scientists) is preferred over 11-3021.
Degree requirement: the JD offers two paths — PhD + 5 years OR Master's + 10 years. The minimum formal degree that satisfies either path is a Master's, so the degree requirement is set to Masters. The 10-year figure (the lower of the two role-level experience gates) is used for the overall years minimum.
PyTorch and TensorFlow are listed as interchangeable ML framework options ('fluency in ML frameworks (PyTorch, TensorFlow)'); they are captured as a single skill with alternatives.
LangGraph and Model Context Protocol are listed as interchangeable agentic framework examples ('e.g., LangGraph, Model Context Protocol'); captured as a single skill with alternatives.
GCP Agent Platform is listed alongside BigQuery as a required cloud platform; 'Agent Platform' is a GCP-specific product and is captured under the GCP skill rather than as a separate entry, as it is not a separately marketed standalone tool.
GKE and Dataflow appear under an 'Advanced knowledge of GCP technologies' bullet that reads as a preferred/depth qualifier rather than a hard gate separate from the core GCP requirement; marked as preferred.
RLHF and model fine-tuning appear in the same required bullet; fine-tuning is the broader gate and RLHF is one technique within it. Fine-tuning is marked required; RLHF is surfaced separately as preferred to avoid over-specifying the gate.
Responsible AI / fairness / interpretability / privacy-preserving ML appears under a 'Familiarity with' framing, indicating a preferred rather than hard-required skill.
HCM domain experience (Workforce Management, Talent & Recruiting, etc.) is listed as a preferred/nice-to-have signal; it names no specific technology and is therefore omitted from the skills list per extraction rules.
Read the full posting
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