About this opportunity
KellyMitchell Group lists this Senior Data Scientist opportunity in denver, Colorado. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Our client is seeking a Senior Data Scientist to join their team! This position is located Hybrid in Denver, Colorado.
The ideal candidate will be experienced in using AI solutions to enhance effectiveness and outcomes, and will be contributing to building, finetuning, and deploying an NLP/AI pipeline to process live data. This team is actively hiring multiple roles and motivated to move quickly!
Core Responsibilities
Perform technical analysis focused on NLP components and real-time transcription use cases
Finetune and adapt LLMs for live customer data while ensuring performance, privacy, and latency requirements
Collaborate with Data Analysts to translate ideas into actionable data products and features
Develop and evaluate prompts, guidance, and retrieval strategies for the AI model
Build and validate end-to-end workflows for processing streaming call data, extracting insights, and surfacing Next Best Offers to agents
Ensure model outputs are interpretable, controllable, and explainable to stakeholders
Document methodologies, results, and trade-offs; present findings clearly to non-technical partners
Required Skills/Experience (Must-Haves)
Strong understanding of NLP techniques and language modeling concepts
Experience with fine-tuning LLMs and prompt-based workflows
Experience with text processing and string operations in Python
Experience or interest in real-time/streaming data processing is beneficial
Proficient in Python; strong SQL skills
Experience with NLP libraries (e.g., spaCy, transformers) and familiarity with large-scale text data
Comfortable with machine learning experimentation, model evaluation, and ablation studies
Experience with or openness to K-Means Clustering, SVM as part of broader ML toolkit; emphasis on text-based modeling
Ability to explain end-to-end processes, trade-offs, and results to both technical and non-technical audiences
Strong written and verbal communication; comfortable walking through code and methodology
Demonstrated project experience (internships, coursework, capstones) in NLP/AI, especially applied to real-time or business contexts
Preferred Skills/Experience (Nice-to-Haves)
Experience with Databricks is a plus but not required
Cloud experience (AWS, GCP, or Azure) is a plus
Prompt engineering experience is a huge plus
Experience with spaCy is preferred but not required
Familiarity with Databricks or other big data platforms is a plus
Benefits
Pay Range: The approximate pay range for this position is between $122,000 - $135,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
Hybrid (4 days onsite; 1 day remote)
Employee Stock Ownership Plan
401K offered
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Worksite address
denver, CO, 80285, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.