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Data Science Analyst

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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.

PepsiCo

Data Science Analyst

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