Job Description
This individual will support the IB Global PS Analytics and Insights agenda helping with sDNA and leveraging that information to deliver solutions for driving actionable insights for the IB Sector and key Markets. Key responsibilities will be to understand data availability in different markets, develop solutions using advanced analytics, artificial intelligence, machine learning and deep learning projects to support perfect store agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities.
Responsibilities
As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for France e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
Data Analysis and Modeling: Analyzing complex datasets to extract valuable insights and identify trends/patterns. Develop and implement predictive and prescriptive models to support business decision-making. Ensure data quality and integrity throughout the analysis process.
- Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home
- Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects
- Build analysis in Python with accompanying documentation
- Designing and using algorithms and building predictive & prescriptive models needed to automate execution and the generation of insights, to enable efficiencies that allow colleagues to focus on value added tasks.
- Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data
- Developing our internal capability to derive insights from structured data, unstructured data through location intelligence, machine learning, collaborative filtering, etc. to unlock new sources of insight that can be used to drive competitive advantage.
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Qualifications
- Bachelors or advanced degree in CS/Technology, for instance a Masters degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
- 5 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
Skills
Advanced AnalyticsArtificial IntelligencePythonData AnalysisData ScienceDeep LearningMachine LearningStatistical ModelingData ScientistAnalyticsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
PepsiCo is a global leader in the food and beverage industry, offering a diverse portfolio of brands that include Pepsi, Lay's, Gatorade, Quaker, and Tropicana. With operations in more than 200 countries and territories around the world, PepsiCo is committed to creating more smiles with every sip and every bite. PepsiCo careers provide a vibrant, inclusive, and dynamic environment that encourages innovation, sustainability, and community engagement. Employees at PepsiCo have the opportunity to grow professionally and personally, contributing to the company’s mission of delivering top-tier financial performance while creating sustainable growth and shareholder value. PepsiCo careers offer pathways across various disciplines, from marketing and sales to research and development, fostering a culture of collaboration and excellence.
Important dates & deadlines?
Application Deadline
15 Nov 26, 02:06 PM IST
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Data Science Manager
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