Data Science Analyst

3 weeks ago

Gurgaon, Haryana, India PepsiCo Full time
PepsiCo Data Analytics & AI Overview

We are PepsiCo, a leading food and beverage company with a portfolio of diverse and beloved brands. Our data-driven approach transforms data into consumer delight, enabling new revenue streams, deeper partner relationships, and innovation across the enterprise.

The Data Science Pillar in DA&AI will be the organization where Data Scientists and ML Engineers report to in the broader D+A Organization. Data Scientists will lead, facilitate, and collaborate on the larger DS community in PepsiCo, providing the talent for the development and support of DS components and their life cycles within DA&AI Products.

Responsibilities

  • Deliver key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope.
  • Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities.
  • Ensure timely and budget-friendly delivery that satisfies project requirements while adhering to enterprise architecture standards.
  • Utilize big data technologies to process data and build scaled data pipelines (batch to real-time).
  • Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines leveraging the NGAA platform (Azure).
  • Configure cloud alerts, monitors, dashboards, and logging, and troubleshoot machine learning infrastructure.
  • Automate ML models deployments.

Qualifications

  • Minimum 4+ years of SQL experience.
  • Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers (Azure preferred).
  • BE/BS in Computer Science, Math, Physics, or other technical fields.
  • Data Science – hands-on experience and strong knowledge of building machine learning models – supervised and unsupervised models.
  • Programming Skills – hands-on experience in statistical programming languages like Python, R, and database query languages like SQL.
  • Statistics – good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators.
  • Cloud (Azure) – experience in Databricks and ADF is desirable.
  • Familiarity with Spark, Hive, Pig is an added advantage.
  • Model deployment experience will be a plus.
  • Experience with version control systems like GitHub and CI/CD tools.
  • Experience in Exploratory data analysis.
  • Knowledge of ML Ops / DevOps and deploying ML models is required.
  • Experience using MLFlow, Kubeflow etc. will be preferred.
  • Experience executing and contributing to ML OPS automation infrastructure is good to have.
  • Exceptional analytical and problem-solving skills.

Employment Value Proposition

PepsiCo recognizes that our success is driven by our talented and dedicated employees. Our Employee Value Proposition is built on a foundation of competitive compensation, comprehensive benefits, and a commitment to your professional growth and personal well-being. We offer a dynamic and inclusive workplace where innovation thrives and your contributions are celebrated. Join us to make an impact, grow your career, and be part of a company that values sustainability, community engagement, and ethical practices.

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