Senior NLP Data Scientist - Hybrid/Remote, Classification

aKube

Calabasas (CA)

Hybrid

USD 70,257 - 117,096

Full time

14 days+

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Job summary

aKube in Calabasas is seeking a Senior Data Scientist / ML Engineer (NLP) to design and deploy classification models for customer messages and transcripts. The role is hybrid with Calabasas in-office days and Las Vegas onsite.

You will build intents, topics, sentiment, and multi-label taxonomies, clean data, and implement secure processing. Requires 4–6+ years, strong Python, PySpark, SQL, and pandas skills, plus experience with labeled data and model monitoring.

Qualifications

  • 4–6+ years of data science or machine learning experience.
  • NLP classification for customer messages or call transcripts.
  • Intent, topic, sentiment, and multi-label classification.
  • Confidence scoring and model evaluation.
  • Text cleaning, deduplication, speaker handling, and PII-safe processing.
  • Trend and anomaly detection.
  • Python, PySpark, SQL, and pandas.
  • Labeled dataset design and annotation workflows.
  • Precision, recall, confusion matrix, and drift monitoring.
  • Hands-on experience with governed or PII-bearing data.

Responsibilities

  • Build and deploy NLP classification models for customer communications.
  • Develop intent, topic, sentiment, and multi-label taxonomies.
  • Clean and prepare transcript and message data for modeling.
  • Handle short-text cases, duplicate records, system messages, and speaker identification.
  • Build trend and anomaly detection methods using baselines, seasonality, and channel mix.
  • Design maintainable Python and PySpark data pipelines.
  • Define sampling strategies and annotation guidelines for labeled datasets.
  • Support reviewer adjudication and dataset quality validation.
  • Track model precision, recall, confusion patterns, confidence scores, and drift.
  • Implement secure processing for customer communications containing sensitive data.

Skills

Python
PySpark
SQL
Pandas
NLP
ML deployment
Text processing
PII handling
Model evaluation
Sentiment analysis

Tools

Databricks
MLflow
Unity Catalog
Databricks Workflows

Job description

aKube in Calabasas is seeking a Senior Data Scientist / ML Engineer (NLP) to design and deploy classification models for customer messages and transcripts. The role is hybrid with Calabasas in-office days and Las Vegas onsite.

You will build intents, topics, sentiment, and multi-label taxonomies, clean data, and implement secure processing. Requires 4–6+ years, strong Python, PySpark, SQL, and pandas skills, plus experience with labeled data and model monitoring.

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