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Sr. Data Scientist
National Carwash Solutions
linkedin
Atlanta, GA
5-10 years
Not Disclosed
Full time
20 April 2026
Top Skills:
A/b TestingAutomated ReportingAwsAzureBusiness IntelligenceBusiness Intelligence ToolBusiness MetricCloudCustomer Behavior AnalysisCustomer EngagementCustomer SuccessDashboardData AnalysisData PipelineData ProcessingData VisualizationForecastingMachine LearningNlpPower BiPredictive ModelingPythonReportingSaasScikit-learnSqlTableauTeachingTeammateTime Series AnalysisTransaction Data

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Job Details

Description

This position requires the candidate to be available to work in person in our Atlanta office. We come in 3 days per week, but support flexibility as needed.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not currently able to sponsor work visas.

"High-Fiver" Wanted: Sr. Data Scientist

Are you the type of person who gets excited about discovering patterns in data? Do you love translating complex analyses into actionable business insights? Do you high-five your teammates when your models successfully predict customer behavior? If so, you are exactly who we are looking for.

We are looking for a talented, dedicated, and experienced Sr. Data Scientist to join our high-five team and take part in the continued growth of our dynamic young company.

About AMP (An NCS Company)

AMP is an industry-leading technology company providing innovative solutions to car wash operators across the country. Our products include cutting-edge software solutions such as white-labeled mobile membership apps, administrative portals, and kiosks. These solutions allow our customers to capture and use customer data at a level not seen in the car wash industry before.

AMP is a division of National Carwash Solutions (NCS). NCS has grown to become North America’s largest equipment, service, and cleaning solutions provider in the car wash industry. For over five decades, National Carwash Solutions (NCS) has revolutionized the carwash industry, offering unparalleled quality and innovative technology. NCS offers the most extensive service network and is home to many trusted brands. No matter if customers are new to the industry or are looking to level up a classic site, NCS is the proven partner for operational excellence and sustainable growth.

Our family of brands includes MacNeil, Ryko, Vacutech, PurClean, TSS, Rain-X, ArmorAll, Black Magic, Blue Coral, USA Towel, International Drying Corporation & Shadow.

What are we looking for?

You will be responsible for turning our data into actionable insights. Here's what that entails:

Data Analysis and Modeling

  • Build and deploy machine learning models to predict customer behavior, membership churn, and usage patterns
  • Analyze customer engagement data to identify trends and opportunities for platform improvement
  • Develop and maintain data pipelines for processing large-scale transaction data
  • Create and optimize algorithms for personalized customer recommendations
  • Implement A/B testing frameworks to evaluate feature effectiveness

Business Intelligence and Reporting

  • Design and maintain dashboards for key business metrics
  • Develop automated reporting systems for car wash operators
  • Create predictive models for business forecasting
  • Analyze membership patterns and provide insights for pricing optimization
  • Generate actionable insights from customer feedback and behavior data

Cross-functional Collaboration

  • Work closely with product and engineering teams to implement data-driven features
  • Partner with customer success to understand operator needs and pain points
  • Present findings and recommendations to stakeholders and leadership
  • Contribute to the development of data-driven product features
  • Mentor and train junior team members on data science best practices

What We Expect You To Have

  • Master's degree in Data Science, Computer Science, Statistics, or a related field
  • 5+ years of experience in applied data science or machine learning
  • Strong programming skills in Python and SQL
  • Experience with modern data science tools and libraries (Pandas, Scikit-learn, etc.)
  • Proficiency in data visualization tools (Tableau, Power BI, etc.)
  • Experience with cloud platforms (Azure, AWS)
  • Experience with business intelligence tools
  • Strong analytical and problem-solving skills
  • Excellent communication skills for presenting technical concepts to non-technical audiences

Bonus Points And Street Cred For The Following

  • Experience with NLP and analysis of customer feedback data
  • Background in customer behavior analysis or predictive modeling
  • Knowledge of time series analysis and forecasting
  • Experience with real-time data processing and streaming
  • Previous experience in SaaS or subscription-based businesses

Why work for us?

We have one of the most supportive and sustainable cultures anywhere. Our team of lifelong learners has a thirst for knowledge and a passion for technology and software. We're dedicated to building world-class solutions for our customers, and at the same time, place a high value on team rewards and personal career growth. We enjoy working together to solve challenging problems, teaching each other through lunch-and-learns, and celebrating victories (even the small ones) along the way.

Benefits You Deserve

  • Highly competitive salaries
  • Potential equity interest in a rapidly growing company
  • Generous PTO policy and holiday schedule
  • 401K plan with company matching
  • Excellent medical, dental, and vision insurance

But wait, there's more!

  • Located at Atlanta Tech Village, the 4th largest tech space in the US
  • World-class engineering team with an incredible track record
  • Team-building events, outings, and hackathons
  • State-of-the-art workspace and hardware
  • Strong focus on community service and volunteering
  • Free gym, snacks, and beverages

National Carwash Solutions is a proud equal opportunity employer. We are a drug-free, EEO employer committed to a diverse workforce. We will consider all qualified candidates regardless of race, color, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity, family responsibilities, disability, education, political affiliation, or veteran status.