Data Science Scientist

PepsiCo · Hyderabad

  • Experience2–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted10 Sept 2026
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About PepsiCo

PepsiCo is hiring in Hyderabad in consumer goods. This role looks for around 2+ years of experience.

Skills

  • Advanced analytics
  • Artificial intelligence
  • Machine learning
  • Deep learning
  • Python
  • SQL
  • Statistical modeling
  • Predictive analytics
  • Prescriptive analytics
  • Relational databases
  • Large datasets
  • Tableau
  • Power BI
  • Microsoft Excel
  • Microsoft PowerPoint

The role

A data scientist at a consumer goods company develops advanced analytics, artificial intelligence, and machine learning solutions for market growth, applying statistical modeling and Python to turn large datasets into actionable insights. The work also uses SQL and Tableau to prepare, visualize, and communicate predictive and prescriptive findings.

Full 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 agendaOptimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities

Responsibilities

Clean and prepare data for use in advanced analytics, perfect store , artificial intelligence, and machine learning projectsBuild analysis in Python with accompanying documentation Execute predictive and prescriptive analytics with an emphasis on actionable insights to be deployed in the market Advise and share Advanced Analytics models with Sectors and Markets to leverage and build Advanced Analytics capability.Develop, maintain, and apply statistical models to business questions - including clustering, segmentation, forecasting etc.Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data

Create visualizations to be used in explaining and clarifying difficult concepts and analytical insights

Qualifications

Master’s degree in business, Marketing, Engineering: MBA a plusMust know how to write SQL and extract data from large and small databasesAbility to translate business and technical requirements into non-technical termsDemonstrated experience in handling large data sets and relational databasesHigh-level written and verbal communication skillsProvide ad-hoc analysis and deliverables as requestedExperience using Tableau/Power BI, Python and other Visual Analytics and Staistics toolsResults oriented with the ability to complete assignments in a timely mannerProficient in Microsoft Excel and PowerPoint with the ability to quickly learn various in-house applicationsDetail-oriented with dedication to continuous improvement