Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with AI/NLP focus, offering a W2 contract in Greenwood Village, CO. Requires 4+ years in data science, strong Python and SQL skills, and experience with text data and NLP techniques.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
640
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πŸ—“οΈ - Date discovered
September 2, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Greenwood Village, CO
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🧠 - Skills detailed
#Alation #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Python #SQL (Structured Query Language) #Data Science #MLflow #"ETL (Extract #Transform #Load)" #Metadata #Data Lake #NLP (Natural Language Processing) #Classification #Airflow #Scala #Cloud #ML (Machine Learning)
Role description
Job Description: Data Scientist – AI/NLP Focus Location: Greenwood Village, CO (Hybrid – 2–3 days onsite/week) Duration: W2 Contract (Budget approved; potential for extension) About the Team & Projects: Join our Fortune 500 client’s Data Science team, a high-impact group driving AI innovation across the organization. You’ll contribute to flagship initiatives like: - A classification model that routes customer escalation tickets to the right teams using NLP and metadata. - An internal LLM-based summarization tool transforming long-form customer feedback into actionable insights. - Customer Journey Feedback: Centralizing data sources to uncover pain points and improve customer experience. Responsibilities: - Build and deploy ML models focused on classification and NLP - Collaborate with stakeholders to understand business pain points and translate them into data-driven solutions - Work with rich text data (e.g., escalation tickets, NPS surveys, metadata) to extract insights - Integrate multiple data sources (10+) and navigate existing data lakes (AWS) - Contribute to model enablement using tools like Airflow and MLflow - Document and present findings to technical and non-technical audiences Requirements: Required: - 4+ years of industry experience in data science or ML - Strong Python and SQL skills (live coding challenge) - Experience working with text data and NLP techniques - Ability to understand business context and communicate effectively with stakeholders - Familiarity with cloud platforms (AWS preferred) - Curiosity and initiative in exploring data and building models Nice to Have: - Experience with LLMs, embeddings, tokenization, and prompt engineering - Familiarity with XGBoost, Airflow, MLflow - Telecom industry experience - Scala experience (for legacy workflows) Interview Process: -Round 1: Resume walkthrough + live coding (no take-home) -Round 2: Panel interview focused on problem-solving and business understanding