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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Global Equipment Platforms (Coca-Cola GEP) - **Company:** The Coca-Cola Company - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Salary:** $149,000.0 - $173,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, Operational Data Store, Statistical Process Control (SPC), SQL Databases, Usage Analysis, Pandas, Scikit Learn, Data Analytics, Data Pipelines, Databricks - **Published:** July 9, 2026 - **Apply:** https://coke.wd1.myworkdayjobs.com/coca-cola-careers/job/US---GA---Atlanta/Data-Scientist---Global-Equipment-Platforms--Coca-Cola-GEP-_R-143205 ## About the Role * 3-5 years of experience in data science, analytics, or related roles with demonstrable business impact * Strong proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, etc.) * Experience working with large, complex datasets, including time-series or telemetry data * Experience building and deploying predictive models in production or near-production environments * Strong analytical thinking with the ability to translate data into actionable insights * Experience working in cross-functional teams with product, engineering, and business stakeholders * Ability to work hands-on across data preparation, modeling, and analysis * Strong communication skills with ability to explain technical outputs in business terms Preferred Skills: * Experience with IoT, connected devices, or equipment/telemetry-based data * Experience in predictive maintenance, anomaly detection, or reliability analytics * Exposure to cloud platforms such as Azure, Fabric, Databricks, or similar * Familiarity with data pipelines and working with data engineering teams * Experience supporting experimentation, A/B testing, or product analytics * Experience contributing to reusable analytics or data product initiatives The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Skills: Collaborative Leadership, Communication, Data Compilation, Manufacturing Analytics, Process Improvements, Risk Assessments, Statistical Process Control (SPC), Supply Chain Processes ## Description The Data Scientist, Global Equipment Platforms plays a key role in delivering data-driven insights and machine learning solutions that improve equipment performance, optimize operations, and support innovation across Coca-Cola's global connected equipment ecosystem. This is a hands-on role focused on building and deploying analytics and machine learning solutions using telemetry, service, and operational data across millions of connected devices. The role partners closely with Data Engineering (platform, infrastructure, and pipelines) and Data Product & Analytics (use case definition, analytics, and adoption) teams to translate business problems into scalable data solutions and ensure real-world impact across bottlers and operating units. Key Responsibilities: * Develop and deploy data science models and advanced analytics solutions for high-impact use cases such as predictive maintenance, equipment health monitoring, and service optimization. * Analyze large-scale telemetry and operational datasets to identify patterns, anomalies, and performance opportunities across equipment fleets. * Collaborate with cross-functional teams (Product, Engineering, AI, and Analytics) to translate business problems into data-driven solutions and measurable outcomes. * Work closely with data engineering teams to access, validate, and prepare data for analysis and model development. * Build feature pipelines and contribute to reusable datasets and analytics capabilities that support multiple use cases. * Support experimentation and innovation initiatives by developing metrics, dashboards, and analytical models to measure performance and impact. * Communicate insights and recommendations through clear, concise storytelling tailored to both technical and business stakeholders. * Validate, monitor, and continuously improve data models (analytics, statistical) and AI/ML models based on performance, feedback, and evolving business needs. * Ensure solutions are practical, scalable, and aligned with production environments and operational workflows. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)