Data Scientist

The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AIProducts. And will support pre-engagement activities as requested and validated by the prioritization framework of DA&AI.

Data Science Senior Analyst: Hyderabad and Gurugram

Your role will be to be part of growing team based in Hyderabad, to create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, supply chain, manufacturing, logistics. This Role focuses on Demand Forecasting in the Demand Planning functional area.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

You will be an internal ambassador of the teams culture around data and analytics. You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing.

• Active contributor to code development in projects and services
• Act as contributor in innovation activities
• Partner with data scientist working on discovery, prototypes and pilot. Focus on experiment tracking.
• Partner with data engineers regarding data pipelines and data versioning.
• Build, deploy or publish machine learning models that run efficiently in cloud pipelines.
• Heavy focus on data wrangling implementation, business rules implementation, feature engineering at scale
• Help drive optimization, testing, and tooling to improve quality (unit tests).
• Monitor model performance (model decay), working with data scientists assessing bias and fairness.
• Prototype new approaches and build solutions at scale.
• Support large-scale experimentation done by data scientists.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create and audit reusable packages or libraries.

• 8+ years working in a team to deliver production level analytic solutions.
• 4+ years experience in ETL (ADF and Data bricks) and/or data wrangling
• 4+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
• 4+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
• Experience with Agile methodology for team work and analytics product creation. Fluent in Jira, Confluence.
• Experience in cloud-based development and deployment (Azure preferred)
• Fluent with Azure cloud services. Certification is a plus.
• Fluent in git (version control)
• Fluent in Docker