Data Scientist IV at MediaAlpha
Los Angeles, CA
$168,000–$222,000from the description
Jul 23, 2026
Los Angeles, CA
Jul 24, 2026
What this job asks for AI summary
A senior individual-contributor data science role focused on independently identifying revenue and margin opportunities by mining exchange data, then building and maintaining the full stack of solutions — machine learning models, decision systems, ETL pipelines, and dashboards — to act on those findings. The position also serves as the primary analytics liaison for assigned business units, translating technical results into business recommendations. Candidates need deep experience in ML model deployment, digital media (including real-time bidding), Python, SQL, and Airflow.
Senior level · 8+ years · Los Angeles-Long Beach-Anaheim, CA · Master's required · Full-time
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 480 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (data scientists). range 100–720
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 $132,593 (middle half $93,359–$172,124). 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 (8)
The posting hard-requires a Master's degree (or foreign equivalent) in Applied Mathematics, Statistics, Business Analytics, or a closely related field — equivalent experience is NOT offered as a substitute.
The 8-year overall experience requirement and 7-year ML requirement are stated in the Qualifications/Requirements sections and treated as hard gates. The 3-year AI-in-digital-media requirement is similarly gated.
R Shiny, Shiny Server, and Airflow are listed together in the Requirements section under 'Proficient in', making them hard gates despite being somewhat niche for a data science role.
'Statistical techniques' and 'real-time bidding' are retained as skills because the posting uses concrete, domain-specific language gating on them (not generic methodology); however, they name capabilities rather than specific named tools.
Jira is mentioned only in the responsibilities narrative (tracking milestones), not in the requirements section — treated as preferred.
The alt SOC (15-1243 Database Architects) reflects the significant ETL pipeline and data-architecture responsibilities, though the primary work is clearly data science / ML modeling.
No explicit remote policy is stated; the posting references physical offices in LA and AZ, so remote=false is assumed.
The job title is not stated in the posting; advertised seniority is set to Unspecified accordingly.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.