Data Scientist Lead

AAA; Coppell (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health coverage

401(k) matching + Pension

Tuition assistance

Floating holidays & PTO

Parental leave

Wellness programs

Employee discounts

Job summary

Auto Club Enterprises is seeking a Lead Data Scientist to act as an internal consultant, solving business problems with data to improve efficiency and member experience. You will analyze large datasets, build predictive models, and deploy data-driven solutions in collaboration with engineers and stakeholders.

The role emphasizes mentoring, project leadership, and translating complex analytics into clear business insights for non-technical audiences. Hybrid work with on-site presence required.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• 3+ years of professional data science analytics experience.
• 1+ year leading projects or mentoring teammates.
• Strong SQL and Python programming for analysis.
• Experience with cloud platforms and modern data ecosystems.

Responsibilities

• Partner with stakeholders to translate business problems into analytical plans.
• Pull, curate, and analyze data from enterprise platforms to deliver actionable insights.
• Develop, validate, deploy, and monitor ML models in production.
• Create dashboards and visuals with Tableau or Power BI to communicate findings.
• Lead projects and mentor junior data scientists, guiding cross‑functional work.

Skills

Statistics

Data analysis

Machine learning

Experiment design

Communication

Project leadership

Education

Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics, or related quantitative field

Tools

SQL

Python

Tableau

Power BI

AWS

GCP

Databricks

Snowflake

Job description

Data Scientist Lead

As our Lead Data Scientist, you will act as an internal business consultant to help optimize every facet of this organization. You will solve problems and answer questions – using data – for other departments to help us reduce costs, reduce errors, and be a better organization for our 17 million members.

What You’ll Do

Every day, you will help solve business problems presented by stakeholders using data. You will partner with business teams to understand challenges, formulate analytical approaches, and deliver actionable insights that improve operational efficiency, customer experience, and business performance.

You will pull, curate, and analyze data from enterprise data platforms and cloud environments using SQL, Python, or similar tools. You will apply statistical methods, hypothesis testing, causal inference, machine learning, and advanced analytics techniques to identify trends, determine root causes, evaluate business strategies, and measure outcomes.

You will work with large-scale datasets and collaborate closely with data engineers to build scalable analytical solutions. Depending on the business need, your work may include exploratory analysis, dashboard development, predictive modeling, experimentation, causal impact studies, or machine learning solutions deployed into production environments.

You will also design, develop, and maintain machine learning and predictive models that support business decision-making and operational efficiency. As part of your day-to-day responsibilities, you will identify opportunities to automate manual processes, streamline analytical workflows, and develop scalable solutions that improve accuracy, consistency, and speed across the organization. This may include leveraging machine learning, generative AI, intelligent agents, and workflow automation technologies to create data-driven solutions that enhance business processes and user experiences.

You will partner with data engineers and business stakeholders to operationalize models, AI-powered applications, and automated processes, ensuring they are scalable, maintainable, and deliver measurable business value. Using tools such as Tableau, Power BI, or other visualization platforms, you will communicate findings and recommendations to technical and non-technical stakeholders.

You will translate complex analytical concepts into clear business insights and influence decision-making across the organization.

As a senior contributor, you will lead projects, mentor junior data scientists, and help guide cross-functional initiatives from concept through implementation.

Note:

This is a hybrid role; the candidate must reside within a 100-mile radius of our Costa Mesa, CA office and be available to work on-site 3 days a week on a regular basis, as well as 2–3 times per month for team meetings and collaboration days.

What You’ll Need

To thrive in this role, you must have a strong foundation in statistics, data analysis, and business problem solving. You should be comfortable taking an ambiguous business problem, developing an analytical approach, and translating findings into actionable recommendations.

Required Qualifications

• Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field.
• Minimum of 3 years of professional experience in data science, advanced analytics, business analytics, or a related field.
• Minimum of 1 year of experience leading projects, mentoring team members, or managing cross-functional initiatives.
• Advanced SQL skills with experience querying and analyzing large datasets.
• Strong programming experience in Python for data analysis, statistical modeling, and machine learning.
• Experience working with cloud platforms and modern data ecosystems, including AWS, Google Cloud Platform (GCP), Databricks, Snowflake, or similar technologies.
• Experience applying statistical techniques such as experimental design, hypothesis testing, statistical inference, regression analysis, causal inference and impact measurement
• Experience developing, validating, deploying, and monitoring machine learning models in production environments.
• Experience creating dashboards and visualizations using Tableau, Power BI, or comparable tools.
• Strong communication skills with the ability to explain technical concepts and analytical findings to non-technical audiences.

Preferred Qualifications

• Experience in the insurance industry, including claims, underwriting, actuary, or operational analytics.
• Experience supporting Agile teams and working in a sprint-based development environment.
• Experience with automation, agentic workflows, and AI-driven business solutions.

Remarkable benefits:

• Health coverage for medical, dental, vision
• 401(K) saving plans with company match AND Pension
• Tuition assistance
• Floating holidays and PTO for community volunteer programs
• Paid parental leave
• Wellness programs
• Employee discounts (membership, insurance,
• travel, entertainment, services and more!)

Auto Club Enterprises is the largest club within the national AAA federation. We have nearly 17,000 employees in 24 states helping more than 18 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1900, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team.

“Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”

AAA is an Equal Opportunity Employer

Our organization participates in E-Verify