Lead Machine Learning Engineer

Overview

Are you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations?

With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also, DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AI Products. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI.

Your role will be to be part of a growing team based in Spain, to create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, supply chain, manufacturing, and logistics. This Role focuses on Demand Forecasting in the Demand Planning functional area. You will be part of a collaborative interdisciplinary team around data, where you will be responsible for our continuous delivery of statistical/ML models. You will work closely with process owners, product owners, and final business users. This will provide you the correct visibility and understanding of the criticality of your developments. You will be an internal ambassador of the team’s culture around data and analytics. You will provide stewardship to colleagues in the areas that you are a specialist or you are specializing.

Responsibilities

Your day to day with us:

1. Actively contribute to code development in projects and services, leading and coaching ML engineers and data scientists.
2. Act as a contributor in innovation activities.
3. Work with data scientists, IBP process leads, and BU subject matter experts to identify data clusters for optimal forecasting performance.
4. Partner with data scientists on discovery, prototypes, and pilot projects, focusing on experiment tracking and translating business models to ML/statistical models.
5. Collaborate with IBP market deploy and sustain teams to design, implement, and test pre-processing and post-processing modules for improved demand forecasts.
6. Work with data engineers to ensure proper data access and preparation for model consumption.
7. Partner with ML engineers and data scientists on industrialization efforts.
8. Drive the use of the Platform toolset and demonstrate ‘the art of the possible’ to the business.
9. Communicate with business stakeholders during service design, training, and knowledge transfer.
10. Support large-scale experimentation and build data-driven models.
11. Research state-of-the-art methodologies and techniques for feature engineering and model data preprocessing.

Qualifications

What you will need to succeed:

1. 4+ years working in a team to deliver production-level analytic solutions – Fluent in git (version control) and with Docker.
2. 4+ years’ experience in ETL and/or data wrangling techniques - Fluent in SQL syntax.
3. 4+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
4. 3+ years’ experience in developing business problem-related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
5. Effective business storytelling and communicating data insights in a business consumable format - Fluent in one Visualization tool.
6. Experience with Agile methodology for teamwork and analytics ‘product’ creation - Fluent in Jira, Confluence.
7. On-the-job experience with Azure cloud services (ADF) is essential.

Additional qualifications that will make you stand out for this position:
• Experience building solutions in the demand forecasting or in the supply chain space.

What makes us different?
• Hybrid work model: combination of remote and collaborative office experience to enable innovation
• Entrepreneurial environment in leading international company
• Professional growth possibilities & learning opportunities
• Variety of benefits to support your physical, emotional, and financial wellbeing
• Volunteering opportunities to help external communities
• Diverse team with more than 30% of female representation & over 30 nationalities
• 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
#Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain

Company: PepsiCo

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Classification, Clustering, Industry, Machine Learning, NLP, Spain