9 days ago

Data Scientist Lead

Wiraa

Hybrid
Full Time
$160,000
Hybrid

Job Overview

Job TitleData Scientist Lead
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$160,000
LocationHybrid

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Job Description

About The Company

Auto Club Enterprises is the largest federation of AAA clubs in the United States, with a rich history dating back to 1902. Employing approximately 14,000 dedicated professionals across 21 states, the organization serves over 17 million members by providing exceptional roadside assistance, travel services, insurance, and other beneficial products. The company's core mission is to deliver legendary, lifetime service to its members through a commitment to excellence, innovation, and diversity. Recognized for its longstanding reputation and trusted brand, Auto Club Enterprises prides itself on fostering a dynamic and inclusive work environment that values the unique backgrounds, perspectives, and strengths of its employees. This focus on diversity and teamwork enables the organization to consistently exceed member expectations and maintain its leadership position in the industry.

About The Role

We are seeking a highly skilled and motivated Data Scientist Lead to join our team remotely. In this pivotal role, you will act as an internal business consultant, leveraging data analytics to optimize various facets of our organization. Your insights will directly influence decision-making processes, helping to reduce costs, minimize errors, and enhance overall organizational efficiency for our extensive member base. As a Data Scientist Lead, you will collaborate closely with stakeholders, data engineers, and other team members to analyze complex data sets, identify trends, and develop actionable recommendations. This role requires a proactive mindset, excellent communication skills, and the ability to adapt quickly to changing priorities. While the position is remote, candidates must reside within a 100-mile radius of Costa Mesa, CA, and be available for on-site collaboration once a week, along with additional team meetings 2-3 times per month.

Qualifications

  • Proficiency in SQL for data extraction and manipulation
  • Strong experience with Python or R for data analysis and modeling
  • Solid understanding of statistics, data analysis, and data visualization techniques
  • Experience working with cross-functional teams in an Agile environment
  • Excellent communication skills to effectively present complex data insights to non-technical stakeholders
  • Ability to adapt and pivot approaches based on project needs and stakeholder feedback
  • Demonstrated experience in pulling, analyzing, and interpreting large datasets
  • Proven track record of delivering actionable insights and recommendations
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or related field; advanced degrees preferred
  • Experience with Tableau or similar visualization tools is a plus

Responsibilities

  • Collaborate with stakeholders to understand business problems and define analytical objectives
  • Extract data from SQL databases and prepare datasets for analysis
  • Analyze data using Python, R, or other relevant tools to identify patterns, trends, and insights
  • Determine the statistical significance of findings and validate hypotheses
  • Visualize data insights through dashboards and reports using Tableau or similar tools
  • Present findings to stakeholders, providing clear explanations and actionable recommendations
  • Work closely with data engineers to ensure data quality and integrity
  • Participate in Agile sprint planning, daily standups, and collaborative project reviews
  • Adapt analysis approaches as project requirements evolve, maintaining flexibility and creativity
  • Contribute to the development of scalable data models and solutions that support organizational goals

Benefits

  • Comprehensive health coverage including medical, dental, and vision plans
  • 401(k) savings plan with company match and pension options
  • Tuition assistance programs to support continuous learning
  • Paid parental leave and flexible floating holidays
  • PTO for community volunteer initiatives
  • Wellness programs promoting healthy lifestyles
  • Employee discounts on memberships, insurance, travel, entertainment, and services

Equal Opportunity

Auto Club Enterprises is an Equal Opportunity Employer. We are committed to creating an inclusive environment that values diversity and equal employment opportunities for all applicants and employees. We consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other protected status in accordance with applicable federal, state, and local laws. We also welcome candidates with criminal histories in a manner consistent with the Fair Chance Initiative for Hiring Ordinance (FCIHO), the Unincorporated Los Angeles County (ULAC) regulation, and the California Fair Chance Act (CFCA).

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • R
  • Data Visualization
  • Stakeholder Collaboration
  • Agile Methodologies
  • Statistical Modeling
  • Business Consulting
  • Actionable Insights

Tags:

Data Scientist Lead
data analysis
data modeling
SQL
Python
R
data visualization
business consulting
Agile
stakeholder management
actionable insights
Tableau
databases
data engineering
statistical analysis
machine learning
dashboards
reports

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How to Get Hired at Wiraa

  • Research Auto Club Enterprises' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for Data Scientist Lead: Highlight SQL, Python/R, data visualization, and Agile experience. Quantify impact.
  • Prepare for technical interviews: Expect questions on data modeling, statistical significance, and database manipulation.
  • Showcase communication skills: Practice explaining complex data insights clearly to non-technical audiences.
  • Demonstrate problem-solving ability: Be ready to discuss how you've adapted approaches based on stakeholder feedback.

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