Data Scientist and Business Ambassador

hace 2 semanas


Barcelona, Barcelona, España Pepsico Deutschland Gmbh A tiempo completo

About Us
PepsiCo Deutschland GmbH is a leading beverage company with a global presence. We are seeking an experienced Data Scientist and Business Ambassador to join our team in Integrated Business Planning (IBP).

Description of the Role
You will play a key part in developing high-quality demand forecasts and new product forecasting within the IBP program. As part of an interdisciplinary team, you will build and deploy statistical/machine learning models, collaborating with process owners, product owners, and business users. Your primary goal will be to ensure the criticality of your developments is understood by all stakeholders.

Main Responsibilities
- Actively contribute to code development in projects and services, leading and coaching ML engineers and data scientists.
- Serve as a contributor in innovation activities.
- Work with data scientists, IBP process leads, and BU subject matter experts to identify data clusters for optimal forecasting performance.
- Partner with data scientists on discovery, prototypes, and pilot projects, focusing on experiment tracking and translating business models to ML/statistical models.
- Collaborate with IBP market deploy and sustain teams to design, implement, and test pre-processing and post-processing modules for improved demand forecasts.
- Work with data engineers to ensure proper data access and preparation for model consumption.
- Partner with ML engineers and data scientists on industrialization efforts.
- Drive the use of the Platform toolset and demonstrate 'the art of the possible' to the business.

Qualifications
We are looking for candidates with 4+ years of experience in delivering production-level analytic solutions. Fluency in git and Docker is essential. Additionally, we require 4+ years of experience in ETL and/or data wrangling techniques, as well as fluency in SQL syntax. Proficiency in statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems is also necessary. The ideal candidate should have 3+ years of experience in developing business problem-related statistical/ML modeling with industry tools, primarily using Python or Scala development. Effective business storytelling and communicating data insights in business-consumable format is crucial. Fluency in one visualization tool and experience with Agile methodology for teamwork and analytics 'product' creation are also required. On-the-job experience with Azure cloud services is essential.

Benefits and Requirements
The salary for this position is approximately €80,000-€120,000 per year, depending on qualifications and experience. Hybrid work model: combination of remote and collaborative office experience to enable innovation.



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