Full-Time

Lead Data Scientist

AAA Club Alliance

AAA Club Alliance

Automotive membership and travel services

Compensation Overview

$145.9k - $194.6k/yr

+ Incentive program

Costa Mesa, CA, USA

Hybrid

Must reside within 100 miles of the Costa Mesa office and work on-site three days per week, plus 2–3 additional team days per month.

Bachelor's

Category
Data & Analytics (1)
Required Skills
LLM
Power BI
Agile
Python
Data Visualization
Data Science
SQL
Machine Learning
Tableau
AWS
Databricks
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • A bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field is required.
  • At least 3 years of professional experience in data science, advanced analytics, business analytics, or a related field is required.
  • At least 1 year of experience leading projects, mentoring team members, or managing cross-functional initiatives is required.
  • Advanced SQL skills and experience querying and analyzing large datasets are required.
  • Strong programming experience in Python for data analysis, statistical modeling, and machine learning is required.
  • Experience with cloud platforms and modern data ecosystems, including AWS, Google Cloud Platform, Databricks, Snowflake, or similar technologies, is required.
  • Experience applying experimental design, hypothesis testing, statistical inference, regression analysis, causal inference, and impact measurement is required.
  • Experience developing, validating, deploying, and monitoring machine learning models in production environments is required.
  • Experience creating dashboards and visualizations using Tableau, Power BI, or comparable tools is required.
  • Strong communication skills and the ability to explain technical concepts and analytical findings to non-technical audiences are required.
Responsibilities
  • Partner with business teams to understand challenges, formulate analytical approaches, and deliver actionable insights that improve operational efficiency, customer experience, and business performance.
  • Pull, curate, and analyze data from enterprise data platforms and cloud environments using SQL, Python, or similar tools.
  • 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.
  • Work with large-scale datasets and collaborate with data engineers to build scalable analytical solutions.
  • Perform exploratory analysis, dashboard development, predictive modeling, experimentation, causal impact studies, or machine learning solution deployment based on business needs.
  • Design, develop, and maintain machine learning and predictive models that support business decision-making and operational efficiency.
  • Identify opportunities to automate manual processes, streamline analytical workflows, and develop scalable solutions that improve accuracy, consistency, and speed.
  • Leverage machine learning, generative artificial intelligence, intelligent agents, and workflow automation technologies to create data-driven business and user-experience solutions.
  • Partner with data engineers and business stakeholders to operationalize models, artificial-intelligence-powered applications, and automated processes, ensuring they are scalable, maintainable, and deliver measurable business value.
  • Use Tableau, Power BI, or other visualization platforms to communicate findings and recommendations to technical and non-technical stakeholders.
  • Translate complex analytical concepts into clear business insights and influence organizational decision-making.
  • Lead projects, mentor junior data scientists, and guide cross-functional initiatives from concept through implementation.
Desired Qualifications
  • Experience in the insurance industry, including claims, underwriting, actuarial, or operational analytics.
  • Experience supporting Agile teams and working in a sprint-based development environment.
  • Experience with automation, agentic workflows, and artificial-intelligence-driven business solutions.

AAA Club Alliance is a membership organization providing roadside assistance, automotive services, insurance, travel planning, financial products, and member discounts across its operating territory. It serves drivers, travelers, households, and businesses through digital channels, contact centers, local stores, car care locations, and affiliated service operations. The organization brings together several regional AAA clubs and trade names under a shared operating structure. Teams work across roadside service, automotive repair, insurance, travel, membership support, retail operations, financial services, technology, marketing, and corporate functions.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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