Data Scientist, Data & Analytics – Customer, Loyalty & Marketing

Circle K

Charlotte (NC)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

A prominent retail company is seeking a skilled Data Scientist to focus on Marketing Analytics and Marketing Mix Modeling. This role will involve developing models to measure marketing effectiveness, translating statistical insights for various teams, and ensuring data quality. The ideal candidate has 3+ years of experience in marketing analytics and a strong background in statistics. Join a dynamic team and make an impact on marketing strategy.

Qualifications

3+ years’ experience in MMM, econometrics, or media effectiveness analysis.
Strong background in statistics/econometrics.
Experience with cloud-based platforms like Azure.

Responsibilities

Develop and maintain Marketing Mix Models.
Translate complex statistical outputs into actionable insights.
Monitor data quality and ensure data pipelines.

Skills

Python/R

Data wrangling

SQL

Statistics

Communication skills

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Pandas

Power BI

Tableau

Job description

Overview

Circle K, part of Alimentation Couche-Tard, is seeking a skilled and business-savvy Data Scientist focusing on Marketing Analytics and Marketing Mix Modeling (MMM). This role will play a critical part in helping us understand and optimize the impact of our marketing investments across various channels (TV, digital, social, search, retail, etc.). The candidate will work closely with Marketing, Finance, and Data teams to deliver data-driven insights that drive strategic and tactical decision-making. He should have hands-on experience building MMMs, interpreting results for business stakeholders, and integrating those insights into actionable marketing recommendations.

What You’ll Do

Develop and maintain Marketing Mix Models to measure effectiveness of TV, radio, digital, out-of-home, print, and in-store promotions.
Translate complex statistical outputs into clear, actionable insights for Marketing, Finance, and Leadership teams.
Build in-house models using Python/R/other languages. Conduct scenario simulations and budget allocation optimization.
Monitor data pipelines and ensure data quality and granularity (sales, media spend, promotions, weather, seasonality, store traffic).
Contribute to broader analytics strategy, including incrementality testing, geo-experiments, and attribution modeling.
Facilitate best practice sharing and contribute to automation and improvement of existing processes.
Present actionable insights and recommendations to marketing business managers to influence business strategies and continuously enhance the value generation from loyalty programs.

What You’ll Need

Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Economics, Applied Mathematics, Computer Science).
3+ years’ experience in MMM, econometrics, or media effectiveness analysis. Strong background in statistics/econometrics (e.g., linear regression, time series, Bayesian models).
Proficient in data wrangling and visualization using tools like Pandas, SQL, Power BI, or Tableau.
Proficiency in query processing languages such as SQL and PySpark, along with hands-on experience on cloud-based platforms (e.g., Azure).
Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams.
Strong stakeholder management skills, with experience engaging diverse teams and senior leaders across geographies.
Collaborative and proactive, with the initiative to drive projects to successful completion.
Adaptable to new and evolving technologies and business needs. Curious and committed to continuous learning in both business and technology domain.

Circle K is an Equal Opportunity Employer. The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.

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