Descripción de la oferta
Overview
In this Data Scientist role within PepsiCo’s Global Digital Commerce Team, you will build deployable statistical and machine learning models to support international growth and tackle complex business challenges. You will collaborate with product owners, data engineers, and business users to turn data into actionable insights and scalable solutions. The role blends analytics exploration with model industrialization, contributing to a startup-like culture inside a global enterprise. You will help shape data-driven decisions that drive digital commerce initiatives across regions.
Compensaciones / Beneficioshybrid work modelentrepreneurial environmentprofessional growth opportunitiescomprehensive benefits to support wellbeingvolunteering opportunities
ResponsabilidadesContribute to best practices in engineering and coding within a world-class teamCollaborate with product teams leveraging core technology platforms and contribute to code developmentPartner with data engineers to ensure data access and preparation for model consumptionCooperate with DS and ML engineers on industrialization effortsCoordinate with business teams and IT services as neededCommunicate with stakeholders during service design, training, and knowledge transferSupport large-scale experimentation and data-driven modelingSet KPIs and metrics to evaluate analytics solutions for use casesRefine requirements into modelling problems and influence product teams with data-based recommendationsConduct research on state-of-the-art methodologies and create reusable documentation and libraries
Requisitos principales4+ years delivering production-level analytic solutionsFluent in git; Jenkins and Docker are pluses4+ years ETL/data wrangling experienceFluent in SQL syntax4+ years applying statistical/ML techniques (supervised/unsupervised); Deep Learning a plus4+ years Python or Scala development for statistical/ML modelingExperience creating models linking input drivers to KPIsStrong business storytelling and data insight communicationFluent in at least one visualization toolStrong communication and organizational skills; ability to handle ambiguitystrong communicationability to handle ambiguitystakeholder managementPython or Scala for ML modelingSQLPySpark/Big Data tooling
