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# Manager, Data Science and Advanced Analytics

- **Company:** Philip Morris International Inc.
- **Location:** Stamford, CT, United States
- **Experience:** Expert
- **Salary:** $132,000.0 - $189,750.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Validation, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Information Technology, Data Analytics
- **Published:** July 22, 2026
- **Apply:** https://www.jofdav.com/jobs/58940748-manager-data-science-and-advanced-analytics

## About the Role

* Legally authorized to work in the U.S.
 * Commutable distance to Stamford, CT.
 * Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field (Master's preferred).
 * 7+ years of experience in data analytics or data science roles, ideally within CPG, retail, or similarly data-rich environments.
 * Proficiency in SQL and experience with Python or R for data analysis.
 * Hands-on experience with BI tools such as Power BI or Tableau.
 * Familiarity with structured datasets (e.g., sales, customer, or syndicated data) and common analytics use cases.
 * Strong problem-solving skills and ability to manage multiple priorities in a fast-paced environment.
 * Effective communication skills, with the ability to present insights to non-technical stakeholders.

## Description

* Partner with stakeholders to support analytics initiatives that align to key business priorities across commercial, sales, and operations functions.
 * Design and deliver analytics projects, including descriptive analysis, segmentation, forecasting, and basic predictive modeling.
 * Build and maintain dashboards, reports, and data visualizations using tools such as Power BI or Tableau.
 * Query, manipulate, and analyze large datasets using SQL and Python (or similar tools) to generate actionable insights.
 * Ensure data accuracy and consistency by applying best practices in data validation and transformation.
 * Translate analytical findings into clear, business-friendly insights and recommendations.
 * Collaborate cross-functionally with business teams, data engineers, and senior analytics leaders to support decision-making.


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