Lead Data Scientist at Bayer
St. Louis, MO
$140,000–$175,000from the description
Jun 28, 2026
St. Louis, MO
Jul 21, 2026
What this job asks for AI summary
This role centers on leading agronomic data science research within the crop science division, with responsibility for building and deploying crop placement models, designing field trial protocols, and conducting statistical analysis. The position also involves mentoring junior team members and communicating modeling outcomes to both technical and non-technical audiences. It suits an experienced data scientist with a background specifically in the agronomic industry.
Senior level · 5+ years · Remote · 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 2,900 people nationally plausibly meet what this posting asks for (data scientists). range 850–4,350
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 $120,230 (middle half $85,660–$158,880). 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 (6)
The job posting specifies a physical location of St. Louis, MO with telecommuting permitted up to 2 days per week, implying an on-site/hybrid role. Per caller instruction, this has been treated as fully remote with no metro assigned.
The title 'Lead Data Scientist' carries no standard seniority level word, so the title states no level. However, the 5-year experience requirement, mentoring responsibilities, and project leadership scope support a Senior classification.
A Master's degree in Data Science, Customer Analytics, or a closely related quantitative field is explicitly required with no 'or equivalent experience' escape clause, so the degree requirement is set to Masters.
All skills are drawn from the formal requirements paragraph ('Requires…'), which enumerates each technology as a hard gate tied to the 5-year experience demand. None appear under a preferred or nice-to-have section.
The posting references 'unit testing' and 'code modularization' as required practices but names no specific testing framework (e.g., pytest), so no skill entry was created for those generic practices.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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