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Skills

Employment Authorization
Data Deduplication
SAFE
Modeling
Customer Communications
Machine Learning (ML)
Data Science
Natural Language Processing
Text Mining
Python
Testing
PySpark
SQL
Pandas
Unity
Databricks
Workflow
Evaluation
Customer Support
Analytics
Property Management

Summary

Job Description
City: Las Vegas, NV / Calabasas, CA

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: 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
Property-management or real-estate data experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1d3dc7
Position Id: e587b7cac6c9baf0561d736bc1cca9bc
Posted 6 days ago

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Senior Data Scientist / Machine Learning Engineer, NLP - 1635

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