Data Scientist-AI – GTM/Propensity to Buy Modeling. at Eliassen Group
Columbia, SC
$80–$90/hrfrom the description
Jul 22, 2026
Columbia, SC
Jul 23, 2026
What this job asks for AI summary
A remote contract role focused on building and operationalizing lead scoring and propensity-to-buy models to support go-to-market strategy. The work spans the full modeling lifecycle — from data profiling and validation through to production deployment — using Python, SQL, Snowflake, and ML libraries, with close collaboration across sales, marketing, and customer success teams. Best suited to someone with hands-on SaaS GTM analytics experience who can work independently in an ambiguous environment.
Senior level · Remote · Contract
“or” means any one of them counts — you don't need all of them.
Posted 9 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 5,500 people nationally plausibly meet what this posting asks for (data scientists). range 2,300–8,300
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 $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)
This is a W2 or corp-to-corp contract engagement, not a full-time hire. The $80–$90/hr rate is explicitly quoted as a W2 hourly rate.
The role is fully remote with no geographic restriction stated.
Snowflake Cortex is mentioned in the Responsibilities section as the preferred platform ('or similar'), not in the hard-requirements block — treated as preferred. The broader Snowflake/Redshift/BigQuery requirement is a hard gate from the Experience Requirements section.
LLM experience appears in the Experience Requirements section as a standalone line ('LLM, ML Model experience') alongside the broader ML modeling requirement — captured as a required skill.
ML classification, regression, and clustering are listed together; 'classification models' is used as the representative skill name covering the full set of supervised/unsupervised techniques demanded.
No minimum total years of experience is stated at the role level; the posting uses 'proven experience' language without a specific year count.
SaaS GTM domain knowledge (pipeline generation, SDR workflows, customer success, product usage analysis) is called out as a background requirement but names no specific tool or platform, so it is omitted per the generic-concept rule.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Propensity-to-buy modeling.
Posting is for a contract 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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