Data Scientist Lead

AAA Auto Club Enterprises; Costa Mesa (CA); Hybrid; USD 145,900 - 194,600; Full time

Benefits offered by this job

Health coverage (medical, dental, v is

401(k) matching and pension

Tuition assistance

Floating holidays and PTO for charity

Parental leave

Wellness programs

Employee discounts

Job summary

AAA Auto Club Enterprises in Costa Mesa, CA, seeks a senior data scientist to translate business problems into data-driven solutions. You will work with SQL, Python, and cloud platforms to deliver actionable insights that improve operations, customer experience, and performance.

You will design, validate, deploy, and monitor ML models, build scalable analytics, and mentor junior teammates while collaborating with cross-functional partners.

Qualifications

• Bachelor's degree in Statistics, Data Science, CS, Mathematics, Engineering, Economics, or related quantitative field.
• Minimum 3 years of professional data science/analytics experience.
• Minimum 1 year leading projects or cross-functional initiatives.
• Advanced SQL skills for large datasets.
• Strong Python for data analysis, modeling, and ML.
• Experience with cloud platforms and modern data ecosystems (AWS, GCP, Databricks, Snowflake).
• Experience applying experiments, hypothesis testing, and causal inference.
• Experience developing, validating, deploying, and monitoring ML models in production.
• Experience creating dashboards with Tableau/Power BI or similar.

Responsibilities

• Solve business problems using data and analytics to improve efficiency and performance.
• Pull, curate, and analyze data from enterprise data platforms and cloud environments.
• Develop dashboards and visualizations for stakeholders.
• Build scalable analytic solutions with data engineers.
• Develop, validate, and deploy ML models in production and monitor outcomes.
• Lead projects and mentor junior data scientists.
• Identify opportunities to automate processes and improve workflows.

Skills

SQL

Python

Cloud platforms

Statistical methods

Experiment design

Machine learning

Data visualization

Communication

Mentoring

Education

Bachelor's degree in a quantitative field

Tools

Databricks

Snowflake

AWS

GCP

Job description

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 remote role; however, the candidate must reside within a 100-mile radius of our Costa Mesa, CA office and be available to work on‑site once 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.

The starting pay range for this position is:

$145,900.00 - $194,600.00

Additionally, for full time positions, you will be eligible to participate in our incentive program based upon the achievement of organization, team and personal performance.

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‑mindful, 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

The Automobile Club of Southern California will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance (FCIHO), the Unincorporated Los Angeles County (ULAC) regulation, and the California Fair Chance Act (CFCA).