Data Scientist

• • Hybrid | Englewood, CO • • Our Denver client is seeking an experienced Data Scientist to contribute to their team NLP & Gen-AI team. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $60 - $75 / hr. w2 Role Overview • Lead the topic modeling process (e.g., clustering, taxonomy) to identify new resolution categories from network to network processing • Develop and refine classification models that map text inputs to specific resolution categories (initially 20+). • Collaborate with Data/ML Engineers to build data pipelines and ensure model scalability for production Key Responsibilities 1. Topic Modeling & Taxonomy Development • Perform text clustering and exploratory data analysis to uncover new resolution categories. • Validate, refine, and finalize taxonomy in collaboration with technical and business stakeholders. 1. NLP Model Development • Design and implement classification models (NLP or GenAI-based) to categorize inputs into the identified resolution types. • Ensure the model handles both voice-transcribed text and technician tickets effectively. 1. Model Deployment & Validation • Work with Data/ML Engineers to integrate models into production. • Develop and maintain performance metrics and dashboards. 1. Cross-Functional Collaboration • Partner with the Data/ML Engineer to ensure smooth data ingestion, transformation, and model deployment. • Communicate insights and recommendations to stakeholders. Technical Skills & Experience • NLP/LLM Expertise: Experience in text analytics, topic modeling (LDA, clustering), classification techniques, and large language models. • SQL • Programming: Strong Python (pandas, PySpark, scikit-learn) skills; Scala/Spark exposure is a plus. • Cloud: Familiarity with AWS (S3, EC2, EMR, or similar) and some Azure exposure (LLM hosting). • MLOps: Experience with CI/CD for ML, model monitoring, and data version control is a plus. • Data Exploration & Visualization: Ability to create meaningful visualizations and insights for data sets. Additional Qualifications • 5+ years of relevant data science experience (or equivalent). • Strong mathematical experience • Demonstrable GitHub portfolio showcasing NLP or other data science projects. • Strong communication skills to translate technical findings to stakeholders. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. JOB ID: JN -082025-103438