Senior Data Science Manager

hace 1 semana

Cornellà del Terri, Gerona, España PepsiCo A tiempo completo
Overview

As a Senior Data Science Manager at PepsiCo, you will lead a team responsible for building and sustaining the company's proprietary forecasting engine. This engine will utilize deployable statistical and machine learning models for time series forecasting, integrated business planning, and beyond. Your expertise in creating deployable models will drive global digital advancements for PepsiCo.

You will work closely with process owners, product owners, and business users to understand the criticality of your developments. Your day-to-day responsibilities will include developing a sustainable analytical toolkit, managing requests from market-specific teams, and partnering with data engineers to ensure data readiness and accessibility.

Responsibilities

  • Develop a sustainable analytical toolkit, including libraries or components that can be deployed via configuration for specific projects and datasets.
  • Manage requests coming from various market-specific teams through data-driven prioritization.
  • Partner with data engineers and other data teams to ensure data readiness and accessibility.
  • Coordinate work activities with Business teams, other IT services, and other teams, if required.
  • Drive the use of the Platform toolset and focus on 'the art of the possible' demonstrations to the business as needed.
  • Communicate with business stakeholders in the process of service design, training, and knowledge transfer.
  • Support large-scale hypothesis testing and build data-driven models.
  • Set KPIs and metrics to evaluate analytics solutions given a particular use case.
  • Translate requirements into modeling problems.
  • Influence product teams through data-based recommendations.
  • Research and bring to practice state-of-the-art methodologies.
  • Create documentation for learnings and knowledge transfer.
  • Create reusable packages or libraries.
  • Manage team members' objectives and expectations.
  • Organize day-to-day tasks and mid-term roadmap of releases, using ADO board or any other tool.

Qualifications

  • Experience building solutions in the supply chain space is preferred, with a particular emphasis on demand planning being a plus.
  • 8+ years of experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems, and in particular time series forecasting. Experience with Deep Learning is a plus.
  • 6+ years of experience in ETL and/or data wrangling techniques.
  • 6+ years of experience in developing business-centered statistical/ML modeling with the use of industry tools, preferably Python or Scala-based.
  • Fluent in Git (version control). Understanding Docker is a plus.
  • Experience with distributed machine learning.
  • Business storytelling and communicating data insights in business consumable format.
  • Strong communication and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.
  • Experience with Agile methodology to organize teamwork and analytics 'product' creation.

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.

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