Jobs via Dice
Data Scientist – Hybrid (Englewood, CO / Charlotte, NC / St. Louis, MO)
Rate: $60 - $75 / hr. W2. Requires W2 basis. Benefits include medical, dental, vision, 401k match, life insurance.
Responsibilities
Lead topic modeling process (clustering, taxonomy) to identify new resolution categories
(e.g., 20+) .
Develop and refine classification models that map text inputs to specific resolution categories.
Collaborate with Data/ML Engineers to build data pipelines and ensure model scalability for production deployment.
Perform text clustering and exploratory data analysis to uncover new resolution categories.
Validate, refine, and finalize taxonomy in collaboration with stakeholders.
Design and implement classification models (NLP or GenAI-based) to categorize inputs into the identified resolution types.
Ensure models handle voice‑transcribed text and technician tickets.
Work with Data/ML Engineers to integrate models into production.
Develop and maintain performance metrics and dashboards.
Partner with engineers to ensure smooth data ingestion, transformation, and model deployment.
Communicate insights and recommendations to stakeholders.
Experience Requirements
5+ years of relevant data science experience (or equivalent).
Strong mathematical background.
Demonstrable GitHub portfolio showcasing NLP or other data science projects.
Strong communication skills to translate technical findings to stakeholders.
Technical Skills & Experience
NLP/LLM Expertise: text analytics, topic modeling (LDA, clustering), classification techniques, large language models.
SQL.
Programming: strong Python (pandas, PySpark, scikit-learn); Scala/Spark exposure is a plus.
Cloud: familiarity with AWS (S3, EC2, EMR, or similar) and some Azure exposure (LLM hosting).
MLOps: CI/CD for ML, model monitoring, data version control.
Data exploration & visualization: create meaningful visualizations and insights for data sets.
Benefits W2 employees scheduled 30+ hours per week are eligible for medical (3 plans), dental, vision, pre‑tax accounts, voluntary benefits including life and disability insurance, 401(k) with match, and sick time per state/local law.
Equal Opportunity Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Responsibilities
Lead topic modeling process (clustering, taxonomy) to identify new resolution categories
(e.g., 20+) .
Develop and refine classification models that map text inputs to specific resolution categories.
Collaborate with Data/ML Engineers to build data pipelines and ensure model scalability for production deployment.
Perform text clustering and exploratory data analysis to uncover new resolution categories.
Validate, refine, and finalize taxonomy in collaboration with stakeholders.
Design and implement classification models (NLP or GenAI-based) to categorize inputs into the identified resolution types.
Ensure models handle voice‑transcribed text and technician tickets.
Work with Data/ML Engineers to integrate models into production.
Develop and maintain performance metrics and dashboards.
Partner with engineers to ensure smooth data ingestion, transformation, and model deployment.
Communicate insights and recommendations to stakeholders.
Experience Requirements
5+ years of relevant data science experience (or equivalent).
Strong mathematical background.
Demonstrable GitHub portfolio showcasing NLP or other data science projects.
Strong communication skills to translate technical findings to stakeholders.
Technical Skills & Experience
NLP/LLM Expertise: text analytics, topic modeling (LDA, clustering), classification techniques, large language models.
SQL.
Programming: strong Python (pandas, PySpark, scikit-learn); Scala/Spark exposure is a plus.
Cloud: familiarity with AWS (S3, EC2, EMR, or similar) and some Azure exposure (LLM hosting).
MLOps: CI/CD for ML, model monitoring, data version control.
Data exploration & visualization: create meaningful visualizations and insights for data sets.
Benefits W2 employees scheduled 30+ hours per week are eligible for medical (3 plans), dental, vision, pre‑tax accounts, voluntary benefits including life and disability insurance, 401(k) with match, and sick time per state/local law.
Equal Opportunity Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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