Data Science Manager

PepsiCo; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

PepsiCo is seeking a data scientist to support IB Global PS Analytics and Insights, leveraging sDNA/cDNA insights to drive actionable opportunities across markets. You will understand data availability, develop analytics solutions, and apply AI/ML techniques to support the perfect store agenda.

Responsibilities include data integration, model development, and producing tables/charts for ad-hoc inquiries, with a focus on Organised Trade and Traditional Trade data to unlock growth opportunities.

Qualifications

• Bachelor's or advanced degree in CS/Technology, e.g. Master’s or PhD in data science or math.
• 5+ years of relevant advanced analytics experience in Marketing or Commercial, Retail or CPG domains.

Responsibilities

• Develop data science modeling frameworks using statistical modeling for sDNA and cDNA.
• Analyze complex datasets to extract insights and identify trends for business decisions.
• Build predictive and prescriptive models to support growth opportunities.
• Prepare data and collaborate on AI/ML projects to optimize store performance.
• Create analyses in Python with documentation and visuals for stakeholders.

Skills

Data analysis

Predictive modeling

Prescriptive analytics

Audience profiling

Education

Master's or PhD in Data Science/CS

Tools

Python

Job description

Overview

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.

Qualifications

• Bachelor's or advanced degree in CS/Technology, for instance a Master’s 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