Senior Data Science Manager

hace 2 semanas

Cornellà de Llobregat, España PepsiCo Deutschland GmbH A tiempo completo
Overview

Are you ready to take on a unique industry role where you will have a chance to lead a team building and growing the proprietary forecasting engine for a global giant like PepsiCo?

Join us as a Senior Data Science Manager , where your expertise in creating deployable statistical and machine learning models will drive global digital advancements for PepsiCo. One of your main focuses will be demand forecasting, shaping developments in critical areas such as revenue management, supply chain, manufacturing, and logistics.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible for leading a team that is in charge of building and sustaining the PepsiCo forecasting engine, consisting of deployable statistical and machine learning models, mostly for time series forecasting in the context of integrated business planning and beyond . You will work closely with process owners, product owners, and final business users. This will provide you with the correct visibility and understanding of the criticality of your developments.

Responsibilities

Your day-to-day with us:

  1. Develop a sustainable analytical toolkit (primarily, PepsiCo forecasting engine) in the form of libraries or components that can be deployed via configuration for specific projects and datasets. It would include mostly time series forecasting and recommendation engines. Functionalities should include hypothesis testing to get the best configuration (mostly in back-testing and time travel for time series forecasting), and prediction.
  2. Manage requests coming from various market-specific teams through data-driven prioritization by keeping the long-term product vision in mind.
  3. Be able to work in Azure and Databricks environments, but be ready to switch to some other.
  4. Partner with data engineers and other data teams to ensure data readiness and accessibility for model consumption.
  5. Coordinate work activities with Business teams, other IT services, and other teams, if required.
  6. Drive the use of the Platform toolset and also focus on 'the art of the possible' demonstrations to the business as needed.
  7. Communicate with business stakeholders in the process of service design, training, and knowledge transfer.
  8. Support large-scale hypothesis testing and build data-driven models.
  9. Set KPIs and metrics to evaluate analytics solution given a particular use case.
  10. Translate requirements into modelling problems.
  11. Influence product teams through data-based recommendations.
  12. Research and bring to practice state-of-the-art methodologies.
  13. Create documentation for learnings and knowledge transfer.
  14. Create reusable packages or libraries.
  15. Manage team members' objectives and expectations.
  16. Organize day-to-day tasks and mid-term roadmap of releases, using ADO board or any other tool.
Qualifications

What you will need to succeed:

  1. 4+ years of experience as a data science Manager, leading scalable developments of Data Scientists and ML Engineers, preferably focused on development of reusable analytical toolkits, ideally in the field of time series forecasting.
  2. Experience building solutions in the supply chain space is preferred, with a particular emphasis on demand planning being a plus.
  3. 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.
  4. 6+ years of experience in ETL and/or data wrangling techniques.
  5. 6+ years of experience in developing business-centered statistical/ML modeling with the use of industry tools, preferably Python or Scala-based.
  6. Fluent in Git (version control). Understanding Docker is a plus.
  7. Experience with distributed machine learning.
  8. Business storytelling and communicating data insights in business consumable format.
  9. Strong communication and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.
  10. Experience with Agile methodology to organize teamwork and analytics ‘product’ creation.

What makes us different?

  1. Hybrid work model: combination of remote and collaborative office experience to enable innovation.
  2. Entrepreneurial environment in leading international company.
  3. Professional growth possibilities & learning opportunities.
  4. Variety of benefits to support your physical, emotional, and financial.
  5. Volunteering opportunities to help external communities.
  6. Diverse team with more than 30% of female representation & over 30 nationalities.
  7. Have a stake in D&I strategy and bring your whole self to work.
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

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