Senior Data Scientist

KellyMitchell Group; Denver (CO); Hybrid; USD 122,000 - 135,000; Full time

Benefits offered by this job

Employee Stock Ownership Plan

401K offered

Hybrid work model

Job summary

KellyMitchell Group is looking for a Senior Data Scientist in Denver, Colorado, with experience in NLP techniques and LLMs. This hybrid position will involve analyzing NLP components, finetuning models, and collaborating with analysts to enhance data products. Candidates should be proficient in Python and SQL, with strong communication skills. The pay range is between $122,000 and $135,000, with additional benefits including employee stock ownership and 401K offerings.

Qualifications

• 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.
• Comfortable with machine learning experimentation and model evaluation.
• Ability to explain processes to technical and non-technical audiences.

Responsibilities

• Perform technical analysis focused on NLP components.
• Finetune and adapt LLMs for live customer data.
• Collaborate with Data Analysts on data products.
• Build and validate workflows for processing streaming data.
• Document methodologies and present findings to stakeholders.

Skills

NLP techniques and language modeling concepts

Fine-tuning LLMs

Text processing and string operations in Python

Real-time/streaming data processing

Proficient in Python

Strong SQL skills

NLP libraries (e.g., spaCy, transformers)

Machine learning experimentation

Model evaluation and ablation studies

K-Means Clustering and SVM

Strong written and verbal communication

Project experience in NLP/AI

Tools

Databricks

AWS

GCP

Azure

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