Data Scientist

KellyMitchell Group; Charlotte (NC); On-site; USD 55,000 - 80,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

ESOP 401K

Job summary

KellyMitchell is seeking a Data Scientist to join our client’s team in a hybrid Charlotte, NC environment. You will support advanced analytics, NLP and conversational experiences, working across the data lifecycle from extraction to insight delivery.

The role emphasizes building and refining ML models, analyzing unstructured data, and presenting findings with Power BI/Tableau dashboards to inform business decisions.

Qualifications

• Strong SQL experience for querying and joining data from multiple sources.
• Strong Python programming for data analysis and data science.
• Hands-on experience with Pandas and Python data analysis libraries.
• Applied experience with data science, machine learning and statistical modeling.
• Experience building, maintaining and tuning ML models.
• Experience with NLP and NLU.
• Experience analyzing text, speech, or unstructured data.
• Ability to build dashboards with Power BI/Tableau.

Responsibilities

• Identify data sources to answer business and customer experience questions.
• Extract, join, and analyze large datasets using SQL and Python/Pandas.
• Analyze customer interaction data to identify patterns and improvements.
• Monitor and improve NLU, sentiment, and ML models.
• Evaluate model performance and explain results.
• Assess IVR/conversational understanding of speech and sentiment.
• Create dashboards and visualizations communicating trends.

Skills

SQL

Python

Pandas

NLU

ML models

Unstructured data

Data sources

Dashboards

Tools

Power BI

Tableau

Job description

Job Summary

Our client is seeking a Data Scientist to join their team! This is not a traditional reporting-only position. This person will support advanced analytics, Natural Language Understanding (NLU), conversational experiences and customer interaction data. They will work across the full analytical lifecycle, from locating and extracting data through analyzing trends, improving existing models and creating dashboards that communicate meaningful business insights. This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.

Core Responsibilities

• Identify the appropriate data sources needed to answer complex business and customer-experience questions
• Extract, join, manipulate and analyze large datasets using SQL, Python and Pandas
• Analyze customer interaction, call and speech-transcription data to identify patterns, anomalies and areas for improvement
• Monitor, maintain and improve existing NLU, sentiment and machine learning models
• Investigate model performance and determine why models are producing specific results
• Evaluate how effectively IVR and conversational systems understand customer speech, intent and sentiment
• Build, modify and improve algorithms used to analyze customer interactions
• Create dashboards, reports and visualizations that clearly communicate trends and findings
• Investigate ambiguous data problems and determine the best analytical approach without waiting for a fully defined request
• Identify gaps in existing data and work across teams to request additional logging or data capture
• Recommend opportunities based on the data and explain what the findings suggest the business should do next
• Partner with Product Owners, business leaders and technical teams to translate business questions into analytical approaches
• Present complex technical findings in a way that business and technical stakeholders can understand
• Help expand the team’s advanced analytics, AI and data science capabilities

Required Skills/Experience (Must-Haves)

• Strong SQL experience, including locating, querying, joining and analyzing data from multiple sources
• Strong Python programming experience for data analysis and data science
• Hands‑on experience with Pandas and other Python-based data analysis or modeling libraries
• Applied experience with data science, machine learning and statistical modeling
• Experience building, maintaining, tuning or improving machine learning models
• Experience with Natural Language Processing (NLP) and/or Natural Language Understanding (NLU)
• Experience analyzing text, speech, conversational, sentiment or similar unstructured data
• Understanding of model performance and the ability to investigate why a model is producing particular results
• Experience building dashboards and visualizations with Power BI and/or Tableau
• Ability to independently investigate data, recognize trends and translate findings into recommendations
• Experience presenting analytical findings to business and technical stakeholders

Preferred Skills

• Experience with sentiment analysis or sentiment models
• Experience with speech analytics, speech-to-text data, conversational AI, chatbots or virtual assistants
• Experience with few-shot learning or modeling
• Understanding of pragmatic ambiguity and how context affects the interpretation of language, intent or sentiment
• Experience with Generative AI, LLMs, RAG or other modern AI technologies
• Exposure to Agentic AI, AI-assisted application development or emerging AI development tools
• Personal or professional experience experimenting with AI tools to improve analytical or day‑to‑day workflows
• Experience with Grafana, Alteryx, Apache-based tools or similar analytics platforms
• Experience with cloud-based data platforms or modern data environments
• Experience developing lightweight applications, APIs or web-based analytical tools

Key Competencies

• This person takes ownership of ambiguous business questions and determines what data and analytical approach are needed to answer them
• They are naturally curious and willing to question assumptions, investigate unexpected results and explore new technologies
• They communicate technical findings clearly and connect the results to meaningful business decisions
• They work well with Product Owners, business leaders and technical teams to gather information and move analytical work forward
• They bring a humble, collaborative approach while remaining confident enough to recommend new ideas and challenge gaps in the available data
• They are motivated to learn, contribute and help the broader team expand its analytics and AI capabilities

Work Environment

Charlotte, NC Hybrid

Compensation & Benefits

Pay Range: The approximate pay range for this position is between $40.00 and $58.00. 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.

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP) 401K offered

About KellyMitchell

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice. Marketing Disclosure By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy [143022]