San Francisco, CA

Salary
$178,875–$320,650from the description
Posted
Aug 5, 2026
Location
San Francisco, CA
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

A senior individual-contributor data science role within Autodesk's eCommerce personalization org, responsible for designing and shipping end-to-end ML pipelines — covering recommendation systems, segmentation, churn prediction, and forecasting — from ideation through production deployment. The position combines deep ML research and engineering, including experimentation frameworks and A/B testing, with cross-functional leadership and mentoring of junior data scientists.

Senior level · 10+ years · Bachelor's required · Full-time

Advertised as Principal, but the requirements read as Senior.

Must have (7)
machine learning · 10+ yrsML pipelinesmodel deploymentdata mining · 10+ yrsA/B testingrecommendation systemsstatistics
Nice to have (2)
AWS or AzureMLOps

“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

What won't set you apart
machine learning80%statistics60%A/B testing45%data mining40%

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 Aug 6, 2026. It is a model, not a headcount.

Why we read it this way (5)

The title reads 'Senior Principal' — a level above Senior but the actual scope and requirements (10 years minimum, team-level mentoring, no org-wide authority described) align with a Senior band rather than Principal; the advertised level is reported as Principal to reflect the title literally.

No specific work location is stated in the posting beyond a U.S. salary range; the role may be remote or hybrid but the posting does not explicitly confirm full remote eligibility, so remote is set to false.

Cloud ML platforms (AWS, Azure) and MLOps best practices appear only under Preferred Qualifications.

The posting lists a Bachelor's degree as the minimum hard requirement; MS/PhD appears only under Preferred Qualifications.

The salary range ($178,875–$320,650/year) is stated as a U.S. starting base salary; the posting notes offers may exceed this range and that additional compensation (bonuses, stock) may apply.

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