Senior Data Scientist at Attain Finance
UNAVAILABLE
$110,000–$150,000from the description
Jul 7, 2026
UNAVAILABLE
Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role within the Risk department of a consumer lending company, focused on building and deploying machine learning and statistical models across credit risk, fraud, collections, and marketing. The work spans the full model lifecycle — from data exploration and algorithm development through production monitoring and stakeholder reporting. Suits a quantitatively trained data scientist with several years of hands-on modeling experience and the ability to translate analytical outputs into business decisions.
Mid level · 4+ years · Remote · Full-time
Advertised as Senior, but the requirements read as Mid.
“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
Roughly 13,800 people nationally plausibly meet what this posting asks for (data scientists). range 2,850–24,900
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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). This posting is about at that midpoint.
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 (5)
The JD requires 4–6 years of hands-on data science experience; the overall years minimum is set to 4 (the stated minimum). Despite the 'Sr.' title, 4–6 years of experience aligns with a Mid-level band rather than Senior, so advertised seniority (Senior) and assessed seniority (Mid) diverge.
The degree requirement lists 'BS or higher' but explicitly accepts 'equivalent working experience,' so no formal degree is hard-gated.
Python, SQL, Snowflake, and Git are listed under Qualifications with the word 'Familiarity with' — a mild softener — but they appear in the primary requirements block alongside firm requirements, so they are treated as hard gates. The softener suggests the bar may be lower than deep expertise.
GBM and XGBoost are listed together as interchangeable examples of gradient boosting methods; captured as one skill with XGBoost as an alternative.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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