Manager, Data Science - North America Marketing
Listed on 2026-06-03
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager
Position Summary
Reports To:
Sr. Director I, Modeling & Measurement (NAOU Marketing)
The Manager, Modeling Analyst plays a hands‑on role in executing advanced analytics and modeling to support data‑driven decision‑making across NAOU Marketing. This position focuses on applying a range of analytical and modeling techniques to understand business performance, diagnose drivers, and inform strategy. You will work across diverse use cases, including marketing effectiveness, customer behavior, forecasting, and business diagnostics. The role requires both technical depth and business curiosity—translating complex analyses into clear, actionable insights.
Responsibilities- Perform structured analyses and build models to address key business questions.
- Work with large datasets to explore patterns, engineer features, and apply appropriate analytical techniques (e.g., regression, classification, time series, or other statistical/ML methods).
- Ensure a high standard of rigor, including data validation, model testing, and iteration.
- Partner with senior team members to develop and refine advanced models; contribute to data preparation, methodology selection, and model validation.
- Perform diagnostic analyses to evaluate model performance and identify opportunities for improvement.
- Translate analytical outputs into clear, actionable insights, developing concise deliverables (slides, summaries, visuals) that communicate what is happening, why it matters, and what actions should be taken.
- Support stakeholder discussions and respond to follow‑up questions with data‑backed reasoning.
- Work closely with Marketing, Finance, and other teams to gather data inputs and understand business context, ensuring analyses reflect real‑world conditions.
- Support ongoing reporting, dashboards, and analytical tools, refreshing data, validating outputs, and identifying opportunities to improve automation, usability, and insight generation.
- Promote strong data practices by identifying inconsistencies, validating inputs, and collaborating with partners to improve data quality, helping ensure reliable and consistent datasets for analysis.
- Education:
Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering). Advanced degree is a plus but not required. - Analytical
Experience:
3+ years in data analysis or data science, strong experience with large datasets, applying statistical methods, and generating business insights. - Exposure to marketing, sales, or customer data is valuable but not required.
- Experience with a range of modeling approaches (predictive modeling, forecasting, segmentation, experimentation, etc.) is preferred.
- Technical
Skills:
Proficiency in SQL and at least one programming language (Python or R); experience with data manipulation, statistical analysis, and visualization. - Familiarity with Tableau, Power BI, or similar tools is a plus.
- Strong foundation in statistics and analytical thinking.
- Marketing & Business Understanding:
Ability to connect data insights to business decisions and priorities. - Attention to Detail and Quality:
Strong focus on accuracy, data validation, and quality control, able to work with imperfect data and apply sound judgment. - Communication
Skills:
Ability to explain complex analytical concepts in simple, clear terms to non‑technical audiences; strong written and verbal communication. - Collaboration & Teamwork:
Comfortable working independently and as part of a team, managing multiple priorities, meeting deadlines, and proactively engaging stakeholders. - Learning & Growth Mindset:
Curiosity and willingness to learn new tools, techniques, and business domains; adaptability in a fast‑paced, evolving environment.
Pay Range:
United States of America: $106,800 USD – $138,500 USD (base pay may vary). A full range of medical, financial, and other benefits is offered. Annual Incentive Reference Value: 15%.
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.
Equal Opportunity StatementWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
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