Data Science Senior Analyst

4 weeks ago


Hyderabad, Telangana, India PepsiCo Full time
Overview

PepsiCo is a leading food and beverage company with a diverse portfolio of brands. We are seeking a Data Science Senior Analyst to join our team and contribute to the development of Machine Learning (ML) and Artificial Intelligence (AI) projects.

This role will involve developing ML solutions using big analytics toolsets in a CI/CD environment. The ideal candidate will have experience with DS tools, Spark, Databricks, and other technologies offered by Microsoft Azure or open-source toolsets.

The successful candidate will be part of a collaborative interdisciplinary team around data, responsible for the continuous delivery of statistical/ML models. They will work closely with process owners, product owners, and final business users to ensure the correct visibility and understanding of criticality of developments.

Responsibilities
  • Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
  • Active contributor to code & development in projects and services
  • Partner with data engineers to ensure data access for discovery and proper data is prepared 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
Qualifications
  • BE/ in Computer Science, Maths, technical fields
  • 6+ years' experience building solutions in the commercial or in the supply chain space
  • 6+ years working in a team to deliver production-level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are 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)


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