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326 PepsiCo Jobs

Lead Data Scientist

3-6 years

Hyderabad / Secunderabad

1 vacancy

Lead Data Scientist

PepsiCo

posted 29d ago

Job Role Insights

Flexible timing

Job Description

Overview

The Sales Sr Analyst (Lead Data Scientist) is part of the Demand Accelerator group who works with FLNA & PBNA Sectors team. Provide Data science / data engineer support for the Demand Accelerator group who works with FLNA & PBNA Sectors, a part of the broader India Capability Center in Hyderabad, India.

This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, and performing predictive and prescriptive analytics approaches for PepsiCo to drive actionable insights at the national, regional, store, and shopper level.

Key responsibilities will be leading the PFNA & PBNA Store-Potential for Shopper Insights North America, build and manage pipelines in a cloud environment, manage data and prepare data to be used for advanced analytics, artificial intelligence, machine learning, and deep learning projects.

Responsibilities
  • Lead the PFNA & PBNA Store-Potential for Shopper Insights North America.
  • 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.
  • Lead, Mentor and Train, Team members/New Hires.
  • 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 Organized Trade, Traditional Trade and Away-From-Home
  • Lead Support maintenance for PBNA (39 Markets) & PFNA (89 Zones)
  • Build analysis in Python with accompanying documentation. ETL Pipelines Support & Maintenance.
  • Lead role in steering Data Processing & Automation initiatives.
  • Azure Infrastructure Optimization. SalesPro+ Pipeline support & maintenance.
  • Develop 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.
  • Support Data Science led to various requests from BU stakeholders
  • Lead Store-Potential Optimization (C&G Modeling, LF Accuracy Enhancement, Brand Inclusion, Existing Model optimization etc.)
  • Qualifications

    Experience Required
  • Bachelor's or advanced degree in a quantitative field for instance a Masters degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
  • 8 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
  • Proven experience with medium to large size data science projects
  • Advanced knowledge of key data science techniques:
  • Data preparation and feature engineering
  • Supervised / Unsupervised learning (ML Based)
  • Regression Based techniques
  • Collaborative Filtering
  • Location Analytics & Intelligence
  • Proficiency in programming languages such as Python, R, or SQL.
  • Expertise in Statistical concepts and techniques (Descriptive, Predictive and Prescriptive
  • Experience with data processing frameworks (e.g., Hadoop, Spark, Snowflake)
  • Understanding of data engineering principles, data integration, and ETL processes.
  • Excellent problem-solving skills and the ability to translate business needs into data-driven solutions.

  • Strong communication and interpersonal skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.

    Differentiating compentencies required

    Think of competencies rather than qualifications, such as managerial or leadership skills, flexibility, dealing with ambiguity, working in a matrix organization, etc.
  • Strong understanding of CPG Advanced Analytics requirement and understanding of the Advanced Analytics agencies
  • Strong experience in designing end-to-end data science solutions, from problem identification to implementation and deployment
  • Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud) and their data services is a plus.

  • Employment Type: Full Time, Permanent

    Read full job description

    Prepare for Lead Data Scientist roles with real interview advice

    Top PepsiCo Lead Data Scientist Interview Questions

    Q1. In Sponsored Products, how many types of campaigns can you make?
    Q2. Are you familiar to environment where you have to explain what is it that you do to a 5 year old?
    Q3. What are the key metrics that you track to measure the performance of a brand in a particular market?
    View all 93 questions

    What people at PepsiCo are saying

    Lead Data Scientist salary at PepsiCo

    reported by 5 employees with 5-8 years exp.
    ₹16 L/yr - ₹42.1 L/yr
    18% less than the average Lead Data Scientist Salary in India
    View more details

    What PepsiCo employees are saying about work life

    based on 2.6k employees
    66%
    49%
    40%
    97%
    Flexible timing
    Monday to Saturday
    Within city
    Day Shift
    View more insights

    PepsiCo Benefits

    Submitted by Company
    Health and insurance benefits
    Work/life benefits
    Well-being
    Retirement benefits
    Submitted by Employees
    Job Training
    Health Insurance
    Soft Skill Training
    Free Transport
    Team Outings
    Cafeteria +6 more
    View more benefits

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