Data Science Analyst

2 months ago

Gurugram, India PepsiCo Full time
Overview

We are PepsiCo

PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. 

PepsiCo Data Analytics & AI Overview:

With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.

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 – Analyst

The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. 

Responsibilities Delivery of 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 on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards  Use big data technologies to help 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)  Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure  Automate ML models deployments  Qualifications Minimum 4+ year of SQL experience Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers (Azure preferred) is 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 is 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

At PepsiCo, we recognize 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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