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The Coca-Cola Company · 1 day ago

Data Scientist

Atlanta, GA

Full-time

Onsite

Mid, Senior Level

$164K/yr - $193K/yr

4+ years exp

The Coca-Cola Company is focused on leveraging digital products to enhance customer value and improve consumer experiences. The Data Scientist role involves working within cross-functional teams to analyze data, design experiments, and build models that influence product strategy and decision-making.

Consumer GoodsFast-Moving Consumer GoodsFood and BeverageManufacturing

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Use advanced analytical and statistical methods to understand user behavior, product performance, and the impact of new features

Design, run, and interpret A/B tests, incrementality experiments, and quasi-experimental analyses

Define and evolve core product metrics that track engagement, health, value creation, and long-term success

Build predictive or machine-learning models to personalize experiences, forecast demand, or reveal patterns that unlock new opportunities

Partner with Product, Design, Engineering, Data, Commercial, and Operations to shape product strategy with rigorous insight

Work with data engineering to ensure trustworthy instrumentation, scalable pipelines, and high-quality measurement foundations

Develop reusable frameworks, measurement playbooks, and experimentation standards that elevate analytical maturity across teams

Communicate insights through clear stories, visualizations, and recommendations that guide priorities and product decisions

Advocate for thoughtful, ethical, and high-quality use of data across the product organization

Qualification

SQLPythonStatistical analysisA/B testingMachine learningData visualizationData storytellingAgile MethodologyDigital TransformationCollaborationCommunication

Required

4+ years of experience applying data science techniques in a product or digital environment

Education: Bachelor's or Master's degree in Statistics, Computer Science, Data Science, Applied Math, Economics, Engineering, or a related quantitative field

Strong proficiency with SQL and Python (or R) and experience working with large, complex datasets

Hands-on experience designing, executing, and analyzing A/B tests and incrementality experiments

Strong foundation in statistics, causal inference, modeling, and data exploration

Experience with modern analytics or experimentation tools such as Snowflake, Databricks, Amplitude, Looker, or Optimizely

Ability to distill complex analyses into clear insights and recommendations

Proven success influencing decisions in cross-functional environments