Senior Data Scientist
Tier4 Group
—
Jul 19, 2026
—
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role focused on building and owning end-to-end machine learning solutions — covering customer acquisition, retention, pricing, and marketing effectiveness — within a telecommunications business. Day-to-day work spans model development in Python and BigQuery ML, data pipeline construction, and translating analytical findings into recommendations for cross-functional stakeholders including Marketing, Finance, and Product.
Senior level · 7+ years · National · Bachelor's required
“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
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).
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 (4)
The posting mentions telecommunications industry experience as preferred — this is domain knowledge, not a named technology, so it is not captured as a skill.
scikit-learn, XGBoost, LightGBM, and pandas are listed together in the Required section as a group of 'machine learning libraries such as' — the 'such as' qualifier signals the specific tools are interchangeable with peers, but the underlying ML library capability is a hard gate; each named library is captured as required with alternatives left open.
Speech analytics platforms (NICE, Verint, CallMiner) are listed together under Preferred; NICE is used as the primary name with Verint and CallMiner as alternatives since the JD treats them as interchangeable options.
No compensation information is provided in the posting.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.