Data Scientist / AI Engineer

LG Electronics; Huntsville (AL); On-site; USD 90,000 - 100,000; Full time

Benefits offered by this job

No-cost medical/dental/vision premiums

401(k) with company matching

Generous PTO

Short-term incentives

Mental health resources

Parental leave

Group life and disability insurance

Job summary

LG Electronics in Huntsville, AL seeks a versatile Data Scientist / AI Engineer to bridge data science, AI engineering, and business stakeholders. You will analyze large-scale operational data, identify automation opportunities, and build AI-powered tools to improve Contact Center and Voice of Customer operations.

You will design lightweight applications, integrate AI APIs, create dashboards, and present solutions to cross-functional teams, turning complex problems into scalable actions for

Qualifications

• Bachelor’s degree in a quantitative field.
• Strong experience with Python, SQL, data analysis, automation, and dashboard/report development.
• Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms.
• Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools.
• Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies.
• Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations.
• Ability to manage multiple priorities and work independently in a fast-paced environment.

Responsibilities

• Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights.
• Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools.
• Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience.
• Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed.
• Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas.
• Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption.
• Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives.

Skills

Python

SQL

BigQuery

Looker

Tableau

Power BI

LLMs

APIs

FastAPI

Flask

JavaScript

HTML/CSS

NLP

GCP/AWS

Git

Docker

Education

Bachelor's degree in Data Science/CS/Statistics/Engineering/Math

Tools

Looker

Tableau

Power BI

Docker

Git

Job description

Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.

What We Can Offer

A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.

We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you’re encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That’s why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!

The Opportunity

We are looking for a highly versatile Data Scientist / AI Engineer who can work at the intersection of data science, AI engineering, internal product, operations, and business stakeholders. This role is ideal for someone who can analyze large-scale operational data, identify opportunities for automation and optimization, and build practical AI-powered tools that improve Contact Center and Voice of Customer operations.

The ideal candidate is not only strong in analytics and machine learning, but also comfortable building lightweight applications, integrating AI APIs, creating dashboards, presenting ideas to stakeholders, and working closely with cross-functional teams to turn ambiguous business problems into scalable solutions.

This person will support contact center operations by delivering actionable insights, automating manual workflows, improving operational efficiency, and contributing to reusable AI frameworks that can be scaled across teams and use cases.

A key focus of this role is to leverage AI and contact center call data to identify agent performance gaps, customer pain points, process issues, and quality risks, and translate those findings into practical corrective actions and coaching recommendations for agents and supervisors. The candidate will be expected to go beyond reporting and insight generation by helping operational teams take measurable actions that improve agent behavior, call quality, customer experience, and overall contact center performance.

Responsibilities

• Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights.
• Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools.
• Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience.
• Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed.
• Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas.
• Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption.
• Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives.

Education / Experience (Requirements)

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.
• Strong experience with Python, SQL, data analysis, automation, and dashboard/report development.
• Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms.
• Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools.
• Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies.
• Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations.
• Ability to manage multiple priorities and work independently in a fast-paced environment.

Preferred Qualifications

• Experience with contact center, customer service, CRM, telephony, QA, chatbot/IVR, or Voice of Customer data.
• Familiarity with contact center KPIs such as AHT, SLA, FCR, CSAT, NPS, backlog, and agent utilization.
• Experience with cloud platforms, AI agents, RAG, internal copilots, workflow automation, MLOps, Git, Docker, or CI/CD.
• Experience with forecasting, optimization, workforce planning, or process improvement.

Technical Skills

• Python, SQL, BigQuery, Looker, Excel, Java, FastAPI, Flask, REST APIs, HTML/CSS, JavaScript, LLMs, GPT APIs, NLP, machine learning, GCP/AWS, Git, Docker.

Recruiting Range

$90,000—$100,000 USD

Benefits Offered Full-Time Employees

• No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
• Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
• Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
• Performance based Short-Term Incentives (varies by role).
• Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
• Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
• Group Rate Life and Disability Insurance.

Benefits Offered Temporary/Contractors

• Eligible for the relevant benefit programs offered through our partner agencies.

Privacy Notice to California Applicants

Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or [e-mail]. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.

All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.