Senior Data Scientist: Global Insights & ML Ops

United States Digital Space LLC; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Coca-Cola is seeking a data scientist to transform large datasets into actionable insights and predictive models. You will work under experienced data scientists to influence decision-making across Marketing, Finance, and Supply Chain on a global scale.

The role emphasizes developing ML/AI solutions, communicating complex analyses to diverse stakeholders, and maintaining robust, reusable analytics assets in a fast-paced, innovative environment at the Atlanta location.

Qualifications

• Degree in a quantitative field with strong data science foundations.
• Experience gathering and translating business requirements into analytical solutions.
• Proficient in Python, R and SQL; able to handle large-scale data wrangling and modeling.

Responsibilities

• Collaborate with cross-functional teams to translate business requirements into data-driven insights and ML/AI solutions across Marketing, Finance, Technical Innovation and Supply Chain.
• Develop ML/AI algorithms and transform data into actionable insights; communicate results to technical and non-technical stakeholders.
• Partner with ML OPS to deploy and scale models; maintain technical documentation and reusable code libraries.
• Keep abreast of industry trends in data science and analytics and contribute to CI/CD automated deployments.

Skills

Python

R

SQL

Data wrangling

Machine learning

Communication

Education

Bachelor's degree in quantitative field

Master's degree

PhD preferred

Tools

GitHub

GitLab

Azure DevOps

Job description

Coca-Cola is seeking a data scientist to transform large datasets into actionable insights and predictive models. You will work under experienced data scientists to influence decision-making across Marketing, Finance, and Supply Chain on a global scale.

The role emphasizes developing ML/AI solutions, communicating complex analyses to diverse stakeholders, and maintaining robust, reusable analytics assets in a fast-paced, innovative environment at the Atlanta location.