Senior Data Scientist / Machine Learning Engineer, NLP - 1635 at aKube Inc
Calabasas, CA
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Jul 14, 2026
Calabasas, CA
Jul 21, 2026
What this job asks for AI summary
A contract NLP/data science role focused on building and deploying classification models against customer messages and call transcripts. Day-to-day work spans developing intent, topic, sentiment, and multi-label taxonomies; cleaning and preparing transcript data; constructing trend and anomaly detection pipelines in Python and PySpark; and managing labeled dataset creation, model evaluation, and drift monitoring. Suits an experienced practitioner with a production NLP deployment track record.
Senior level · 4+ years · Las Vegas-Henderson-Paradise, NV · Contract
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 $101,106 (middle half $77,998–$132,849).
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 (8)
The posting lists two possible work locations — Las Vegas, NV and Calabasas, CA — with no indication of which is primary; Las Vegas is listed first and used for the CBSA. The Calabasas, CA location falls within the Los Angeles-Long Beach-Anaheim, CA CBSA (31080).
The 6-month duration and work-authorization restrictions (no H1B/OPT/CPT) are strong signals this is a contract engagement, though the posting does not use the word 'contract' explicitly.
The alt SOC (15-1243) reflects the significant data pipeline and PySpark engineering component, though the primary work is clearly NLP/ML modeling.
Databricks Unity Catalog, Databricks Workflows, MLflow, model/data versioning, retrieval and embedding models, LLM-assisted classification, contact-center analytics, and property-management domain experience all appear under the explicit 'Nice to Have' section.
'Text classification' and 'sentiment analysis' are listed as distinct required capabilities (intent, topic, sentiment, multi-label classification) rather than a single generic NLP skill; they are kept separate to reflect the JD's specificity.
No compensation figures were provided in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): sentiment analysis, labeled dataset design.
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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