City: Las Vegas, NV / Calabasas, CAOnsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Duration: 6 monthsRate Range: Upto $85/hr on W2Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPTMust Have:4–6+ years of data science or machine learning experienceNLP classification for customer messages or call transcriptsIntent, topic, sentiment, and multi-label classificationConfidence scoring and model evaluationText cleaning, deduplication, speaker handling, and PII-safe processingTrend and anomaly detectionPython, PySpark, SQL, and pandasLabeled dataset design and annotation workflowsPrecision, recall, confusion matrix, and drift monitoringResponsibilities: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:DatabricksUnity CatalogDatabricks WorkflowsMLflowModel and data versioningRetrieval and embedding modelsLLM-assisted classification with evaluation and guardrailsContact-center or customer-support analyticsProperty-management or real-estate data experienceCity: Las Vegas, NV / Calabasas, CAOnsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Duration: 6 monthsRate Range: Upto $85/hr on W2Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPTMust Have:4–6+ years of data science or machine learning experienceNLP classification for customer messages or call transcriptsIntent, topic, sentiment, and multi-label classificationConfidence scoring and model evaluationText cleaning, deduplication, speaker handling, and PII-safe processingTrend and anomaly detectionPython, PySpark, SQL, and pandasLabeled dataset design and annotation workflowsPrecision, recall, confusion matrix, and drift monitoringResponsibilities: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:DatabricksUnity CatalogDatabricks WorkflowsMLflowModel and data versioningRetrieval and embedding modelsLLM-assisted classification with evaluation and guardrailsContact-center or customer-support analyticsProperty-management or real-estate data experienceCity: Las Vegas, NV / Calabasas, CACity: Las Vegas, NV / Calabasas, CACity: Las Vegas, NV / Calabasas, CACity: Las Vegas, NV / Calabasas, CACity: Las Vegas, NV / Calabasas, CAOnsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Onsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Onsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Onsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Onsite/ Hybrid/ Remote: Hybrid Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Calabasas (Monday-Wednesday in office) , Las Vegas (5 days onsite)Duration: 6 monthsRate Range: Upto $85/hr on W2Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPTDuration: 6 monthsRate Range: Upto $85/hr on W2Duration: 6 monthsRate Range: Upto $85/hr on W2Duration: 6 monthsRate Range: Upto $85/hr on W2Duration: 6 monthsRate Range: Upto $85/hr on W2Rate Range:Upto $85/hr on W2Upto $85/hr on W2Upto $85/hr on W2Upto $85/hr on W2Work Authorization:

Must Have:

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:

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:

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:

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

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