Machine Learning Scientist at Bayer
Tulsa, OK
$96,800–$145,000from the description
Jul 22, 2026
Tulsa, OK
Jul 23, 2026
What this job asks for AI summary
A part-time machine learning scientist role embedded within the Quality, Stewardship, and Compliance function of a plant breeding organization. The work centers on building and productionizing ML models, LLM/RAG pipelines, data visualizations, and automated tools that improve compliance and stewardship workflows. It suits candidates with hands-on experience deploying deep learning systems — particularly Transformers — alongside strong Python, SQL, and API development skills.
Senior level · 7+ years · Remote · Bachelor's required · Part-time
“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
Roughly 1,250 people nationally plausibly meet what this posting asks for (data scientists). range 760–2,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $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 (9)
The posting is listed as a part-time position, which is unusual for a senior ML Scientist role — hiring managers should confirm this is intentional.
The salary range appears to have a typo: '$96,800–$145,00' — the upper bound is likely $145,000 or $145,200; the figure has been recorded as $145,000.
Location is listed as 'Residence Based' with no specific city or state, indicating a fully remote, US-based role; no CBSA could be assigned.
The preferred qualifications list experience tiers by degree (Ph.D. + 3 yrs, M.S. + 5 yrs, B.S. + 7 yrs). The minimum hard-required degree is a Bachelor's; the overall years minimum is set to 7 (the B.S. tier), which is the lowest bar for the most common degree. The Ph.D. and M.S. tiers are preferred, not required.
Spotfire and Power BI are listed together under a single required qualification ('data visualization tools such as Spotfire and Power BI'). They are treated as interchangeable alternatives on the Spotfire entry; Power BI is also emitted separately as preferred to surface it for search, since the 'such as' qualifier means either satisfies the requirement.
TensorFlow and PyTorch are listed as interchangeable ('TensorFlow and/or PyTorch') in the required section; captured as one skill with PyTorch as the alternative.
The role blends ML research/modeling (15-2051) with substantial software/API engineering and productionization work (15-1252); 15-2051 is the primary classification given the 'Machine Learning Scientist' title and emphasis on ML techniques, but 15-1252 is a genuine runner-up.
Backend and API development experience is required but no specific framework or technology is named; captured generically as 'REST' to represent API development — hiring managers should probe for specific frameworks (FastAPI, Flask, etc.) during screening.
Posting is for a part-time engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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