Data Scientist at PepsiCo
Plano, TX
$80,200–$134,250from the description
Jul 12, 2026
Plano, TX
Jul 21, 2026
What this job asks for AI summary
A senior data science role focused on building and deploying machine learning models within a consumer activation team. Day-to-day work spans the full model lifecycle — from discovery and experimentation through production implementation — with close collaboration alongside product managers and data engineers. The position suits someone with solid Python-based ML experience, including reinforcement learning and PySpark, who can also translate analytical findings into clear business narratives.
Mid level · 3+ years · Dallas-Fort Worth-Arlington, TX · Full-time
“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 310 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (data scientists). range 230–410
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 $130,559 (middle half $92,500–$149,977). 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 (7)
The title 'Data Science Senior Analyst' contains 'Senior' but the requirements (3+ years, mid-level scope) support a Mid-level classification; the advertised seniority reflects the title's claim.
Reinforcement Learning, PySpark, and SQL are explicitly called out as 'must' in the qualifications section, making them hard gates despite appearing alongside other experience bullets.
Cloud platforms (2+ years) are required but no specific provider is named; common substitutes (AWS, Azure, GCP) are listed in alternatives.
Git is listed as 'fluent in git' in the same bullet as Jenkins/Docker ('a plus'); git fluency reads as a soft requirement in context, so it is marked preferred. Jenkins and Docker are explicitly 'a plus' and are treated as interchangeable alternatives on one skill entry.
Visualization tool fluency is required but no specific tool is named; omitted from skills list as no concrete technology is identified.
NLP, LLMs, FAIR data, Responsible AI, and distributed machine learning are all explicitly flagged as 'a plus'; FAIR data and distributed machine learning are omitted as they name no specific tool or technology.
Agile is listed under qualifications but framed as general 'experience with' methodology rather than a hard gate; marked preferred.
Read the full posting
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