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Data Science Senior Analyst

1 month ago

Hyderabad, Telangana, India PepsiCo Full time
PepsiCo: Data Science Senior Analyst

We are PepsiCo, a leading food and beverage company with a global portfolio of diverse and beloved brands. Our strength lies in our people, over 250,000 game changers, mountain movers, and history makers, united by a shared set of values and goals.

Job Summary

The Data Science Team at PepsiCo is responsible for developing Machine Learning (ML) and Artificial Intelligence (AI) projects. As a Data Science Senior Analyst, you will play a key role in developing ML solutions in support of ML/AI projects using big analytics toolsets in a CI/CD environment.

You will be part of a collaborative interdisciplinary team around data, responsible for the continuous delivery of statistical/ML models. You will work closely with process owners, product owners, and final business users to provide visibility and understanding of critical developments.

Key Responsibilities

  • Deliver key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope.
  • Contribute actively to code and development in projects and services.
  • Partner with data engineers to ensure data access for discovery and proper data preparation for model consumption.
  • Partner with ML engineers working on industrialization.
  • Communicate with business stakeholders in the process of service design, training, and knowledge transfer.
  • Support large-scale experimentation and build data-driven models.
  • Leverage big data technologies to help process data and build scaled data pipelines (batch to real time).
  • Implement end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines.

Requirements

  • BE/ in Computer Science, Maths, or technical fields.
  • 6+ years' experience building solutions in the commercial or supply chain space.
  • 6+ years working in a team to deliver production-level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker is a plus.
  • Fluent in SQL syntax.
  • 6+ years' experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
  • 6+ years' experience in developing business problem-related statistical/ML modeling with industry tools, with primary focus on Python and Pyspark development.
  • Experience executing and contributing to ML OPS automation infrastructure is good to have.
  • Exceptional analytical and problem-solving skills.
  • Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure (preferred).