Senior Data Scientist
Phaedon, LLC · Minneapolis, MN
$105,000–$155,000from the description
Jul 15, 2026
Minneapolis, MN
Jul 21, 2026
What this job asks for AI summary
A hands-on machine learning engineering role focused on building and owning AI/ML models embedded directly into a production SaaS loyalty platform. Day-to-day work spans the full model lifecycle — from feature engineering and training through deployment as callable APIs and ongoing monitoring — covering areas such as fraud detection, personalization, recommendation, and forecasting. The role also involves MLOps infrastructure on AWS and occasional collaboration with clients on technical scoping.
Senior level · 5+ years · Minneapolis-St. Paul-Bloomington, MN-WI · Full-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 5 people in the Minneapolis-St. Paul-Bloomington, MN-WI area plausibly meet what this posting asks for (data scientists). range 2–9
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
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 $132,634 (middle half $96,834–$166,533). 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 role sits at the intersection of Data Science (ML modeling, full lifecycle ownership) and Software Development (production inference APIs, microservices, MLOps infrastructure). 15-2051 Data Scientists is the primary classification given the explicit 'Senior Data Scientist' title and the centrality of model design, training, evaluation, and monitoring; 15-1252 Software Developers is a credible runner-up given the heavy emphasis on shipping production APIs, CI/CD, and infrastructure-as-code.
The degree requirement accepts an 'equivalent combination of education and experience,' so no minimum degree is hard-gated.
Visualization tools (Superset, Tableau, Power BI) are listed under the Technical Skills section as a group with 'and/or,' indicating any one satisfies the requirement; Superset is listed first and the others are captured as alternatives.
RAG, vector databases, MLOps depth, API/microservices experience, and fraud/loyalty domain background all appear under the 'Preferred Skills' section and are marked accordingly.
LangChain and the transformers library are named explicitly under the required Technical Skills section as examples of AI/ML libraries within the Python requirement; they are surfaced as separate skills given their distinct tooling identity.
Terraform is listed first among the IaC options (Pulumi, CloudFormation) in the Basic Qualifications; all three are captured as alternatives since the JD treats them interchangeably.
Read the full posting
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