Data Scientist 3

AAA•Costa Mesa, CA

2d•$109,500 - $146,200•Hybrid

About The Position

The Data Scientist 3 handles multiple projects and acts as an internal business consultant, using data to help departments optimize operations, reduce costs and errors, and better serve the organization’s members. The role involves understanding how tasks fit into broader projects, self-managing work under general supervision, and completing projects on time. The position addresses stakeholder business problems by extracting data from SQL databases; analyzing and interpreting it with Python, R, or other tools; identifying patterns and trends; and assessing their statistical significance. Tableau is used to visualize data. The data scientist works with a data engineer to present findings to stakeholders and confirm, refute, or acknowledge hypotheses. Analyses may be implemented or may lead to further work. The role is described as hybrid, with the candidate required to live within 100 miles of the Costa Mesa, California office and work onsite three days per week, as well as attend two to three monthly collaboration and team-meeting days. The posting also describes the role as remote while requiring regular visits to the Costa Mesa office for collaboration.

Requirements

Solid foundation in statistics and data analysis.
Ability to describe a project involving data extraction, analysis, identification of trends or patterns, assessment of significance, and delivery of business insights or recommendations, including the candidate’s approach, tools, involvement, and decisions.
Proficiency with SQL.
Proficiency in either Python or R.
Excellent communication skills, including the ability to explain decisions, changes in approach, and delays clearly to stakeholders or colleagues who may be less technically oriented.
Flexibility and creativity when project needs or approaches change.
Must reside within 100 miles of the Costa Mesa, California office and be available to work onsite three days a week and attend regular collaboration days.

Responsibilities

Understand how assigned tasks fit into the broader project and recommend how to accomplish them within the project framework.
Self-manage tasks and projects and complete them on time under general supervision.
Use data to investigate and solve business problems raised by stakeholders.
Pull relevant data from SQL databases and analyze and interpret it using Python, R, or other tools.
Identify patterns or trends and determine their statistical significance to the business problem.
Visualize data using Tableau.
Work with a data engineer to present findings to stakeholders and confirm, refute, or acknowledge hypotheses.

Benefits

Medical, dental, and vision health coverage
401(k) savings plan with company match
Pension
Tuition assistance
Floating holidays
PTO for community volunteer programs
Paid parental leave
Wellness programs
Employee discounts on membership, insurance, travel, entertainment, services, and more
Incentive program eligibility for full-time positions, based on organization, team, and personal performance