Data Scientist / AI Engineer
The Data Scientist / AI Engineer at Confidential Client focuses on leveraging data science and AI to enhance contact center operations and customer experience. This role involves analyzing large-scale operational data, developing AI-powered automation tools, building internal applications, and collaborating with cross-functional teams to translate insights into actionable improvements that optimize agent performance and operational efficiency.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Appliances, Electrical, and Electronics Manufacturing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Overview
Confidential Client is seeking a Data Scientist / AI Engineer in Huntsville, AL to build practical AI and analytics solutions for contact center and Voice-of-Customer (VoC) operations. This role blends data science, engineering, product-minded prototyping, and stakeholder partnership to convert operational data into measurable improvements in agent performance, call quality, and customer experience.
Compensation range (recruiting): $90,000—$100,000 USD (annual). Full-time position.
What You’ll Do
- Analyze contact center, VoC, CRM and operational datasets to monitor KPIs, find root causes, and recommend actions.
- Build automated dashboards, scheduled reports, and analytics pipelines with Python, SQL and BigQuery.
- Develop AI/ML solutions (NLP, LLMs, GPT APIs, RAG patterns) to extract insights from call transcripts and customer feedback.
- Prototype internal tools and APIs (FastAPI/Flask + lightweight front-end) to operationalize models and automation.
- Create reproducible components and reusable frameworks that scale across teams and contact-center use cases.
- Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption.
- Prepare presentations, business cases and executive updates to communicate findings and measure impact.
Minimum Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics or related quantitative field.
- Strong experience with Python and SQL; hands-on with data analysis and automation.
- Experience developing dashboards/reports using Looker, Tableau, Power BI or similar BI tools.
- Familiarity with machine learning, NLP, LLMs, prompt engineering, or generative AI workflows.
- Ability to build internal tools or prototypes using FastAPI, Flask, or equivalent frameworks and basic front-end tech (HTML/CSS/JavaScript).
- Strong communication and presentation skills; ability to translate technical findings into actionable business recommendations.
- Comfortable managing multiple priorities and working independently in a fast-paced environment.
Preferred Qualifications
- Experience with contact center data, telephony, QA, CRM notes, chatbots/IVR or VoC analytics.
- Knowledge of contact center KPIs (AHT, SLA, FCR, CSAT, NPS, backlog, utilization) and workforce planning concepts.
- Experience with cloud platforms (GCP/AWS), MLOps practices, Docker, Git, or CI/CD pipelines.
- Familiarity with retrieval-augmented generation (RAG), internal copilots, or AI agent patterns.
- Background in forecasting, optimization, or process improvement is a plus.
Technical Skills
- Python, SQL, BigQuery
- Looker / Tableau / Power BI
- LLMs, GPT APIs, NLP, machine learning
- FastAPI, Flask, REST APIs
- HTML/CSS, JavaScript
- GCP / AWS, Git, Docker
- Excel, Java (optional)
Why This Role (What You’ll Gain)
- Direct impact on customer experience and contact center performance through actionable AI and analytics work.
- Opportunity to build production-ready prototypes and reusable AI components used across teams.
- Collaborative environment with cross-functional stakeholders where results and clarity drive adoption.
- Competitive base compensation plus benefits for full-time employees.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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