The Company

Car Wash Company

What You Will Be Doing

We’re seeking a Data Scientist II to join our car wash operations as an individual contributor focused on building predictive models and advanced analytics from the ground up. This role offers the opportunity to work with diverse data sources including transactional, operational, and external data to drive business decisions across marketing, pricing, and operations.

Key Responsibilities

Model Development (60%)

Build predictive models from scratch for customer behavior, pricing optimization, and operational forecasting
Develop customer segmentation and classification models
Create location analysis models to optimize site performance and expansion
Design and implement A/B testing frameworks and attribution models
Deploy approximately one model every 3 weeks (target: 8-10 models in first 6 months)

Data Engineering & Infrastructure (25%)

Set up and maintain data pipelines
Integrate external data sources (weather APIs, third-party data)
Develop local development environments for model prototyping
Work with transactional, operational, and external data sources

Business Collaboration (15%)

Gather requirements directly from business stakeholders
Present findings and model results to leadership and operational teams
Translate business problems into analytical frameworks
Provide recommendations based on model insights

Required Qualifications

Technical Skills:

2-3+ years of hands-on Python experience with data science libraries (pandas, scikit-learn, numpy, matplotlib/seaborn)
Strong SQL skills with experience in data manipulation and analysis
Experience with GBQ/Snowflake or similar cloud data warehouses
Experience building machine learning models end-to-end (data prep through deployment)
Statistical analysis and hypothesis testing experience

Business Skills

Proven ability to work directly with business stakeholders
Experience presenting technical findings to non-technical audiences
Strong problem-solving skills and ability to work independently
Experience with A/B testing methodology and experimental design

Mindset

Comfortable working in a fast-paced environment with model deployment goals
Willingness to learn new domain knowledge
Self-directed with ability to manage multiple projects simultaneously

Preferred Qualifications

Experience with marketing analytics (customer segmentation, attribution modeling)
Geospatial analysis experience for location-based insights
Experience with API integration and web scraping
Knowledge of MLOps practices and model deployment
Experience with cloud platforms (Azure/GCP)
Data visualization tools (Tableau, PowerBI, or similar)
Version control (Git) and collaborative development practices

Equal Opportunity Employer

Associate Staffing is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. We are committed to creating a diverse and inclusive work environment and welcome applicants from all backgrounds to apply for open positions with our company.

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