Senior Data Scientist

hace 1 semana

Cornellà del Terri, España PepsiCo A tiempo completo
Overview

Global IBP

The Integrated Business Planning (IBP) process aims to transform business decision making that will result in profitable and sustainable growth balancing strategic, financial and operational objectives. It is a cross-functional, rolling planning process integrating product, marketing, sales, supply chain, partner and financial plans into one aligned plan for the business through a global standard. This single set of numbers will leverage next generation orchestration and analytic technology coupled with data and digital savvy PepsiCo talent, and – in most markets – an enabling decision-support tool, ensuring agile and fast decision- making to take us to the next level above the competition.

You will be part of a growing team to create and support global digital developments for PepsiCo around topics related with Finance Management, Revenue Management, Supply Chain, Manufacturing, Logistics. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. You will work with process owners, product owners and final business users.

Your mission:

As a member of the Data Science team, you will explore and analyze data coming from a wide variety of sources (both internal and external) to attain a deep understanding of it, both from data science and from a business perspective. This will enable you to create accurate forecasting models as well as to explain the insights of the results obtained to the business stakeholders.

Responsibilities

Your day to day with us:

Explore and analyze data to gain powerful insights, both from a data science as from a business perspective Create, evaluate, compare and improve forecasting models to attain a business-grade AI forecast Integrate your forecasting models into the existing DataOps/MLOps environment so that they are scalable, robust and production-ready Explain your findings and conclusions both to a Data Science audience as well as to a business audience. Always keep in mind the business relevance of your work Integrate into a multidisciplinary team, collaborate with other members to improve the overall team efficiency and results Supervise the models in production to detect failures or performance issues and debug them if needed Research and apply novel technologies that may improve the existing processes Qualifications

What you will need to succeed:

Advanced knowledge of key data science techniques:-Data preparation and feature engineering-Supervised / Unsupervised learning-Location Analytics & Intelligence High level of proficiency in either R or Python Familiarity with query languages such as SQL or Hive Understanding of cloud based data and platforms will be an added bonus Good to have understanding of agile ways of working Able to translate complex concepts into clear stories for the business, proven through at least 18 months experience in a business facing data science role Experience of defining the shape of data science projects from the initial creation of hypotheses through to delivery of results into the business

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.

PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

*We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

#LI-Hybrid

#Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain

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