Senior Data Scientist / Machine Learning Engineer, NLP - 1635

Senior Data Scientist / Machine Learning Engineer, NLP - 1635 Calabasas, United States | Posted on 07/15/2026 Onsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite) Duration: 6 months Rate Range: Upto $85/hr on W2 Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT Must Have: 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 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. Qualifications: 4–6+ years of relevant machine learning, NLP, or data science experience. Proven experience deploying NLP models into production. Strong experience with classification systems and text analytics. Advanced Python development and testing skills. Hands-on experience with PySpark, SQL, pandas, and scalable data pipelines. Experience creating and validating labeled datasets. Strong understanding of model evaluation, monitoring, and false-alert reduction. Experience working with governed or PII-bearing data. Nice to Have: Databricks Unity Catalog Databricks Workflows MLflow Model and data versioning Retrieval and embedding models LLM-assisted classification with evaluation and guardrails Contact-center or customer-support analytics #J-18808-Ljbffr aKube