Lead Data Scientist en Vitoria, España

Overview

The next great shift in consumer behavior driven by technological disruption is underway, and it’s happening in the food & beverage industry. As other sectors have shifted to Digital Commerce-first business models in recent years, food & beverage has continued to rely predominantly on traditional brick & mortar models, but this is changing rapidly. New technologies are transforming every aspect of reaching consumers, from the rise of digital marketing and online grocery platforms to the creation of supply chain tools that enable speedy at-home delivery.

Although PepsiCo is a large multinational, the PepsiCo Global Digital Commerce Team prides itself on having the entrepreneurial, action-oriented culture of an exciting startup business. Our group includes startup founders, Silicon Valley veterans, food & beverage experts, and seasoned executives from digital transformation leaders such as Amazon and Walmart. Our goal is to build the technological products and capabilities that will reinvent our industry and make us the #1 food & beverage business in Digital Commerce for decades to come.

To deepen our efforts to seize this opportunity and lead the food & beverage industry into its remarkable next chapter, PepsiCo – a global company with powerhouse brands including Frito-Lay, Gatorade, Pepsi-Cola, Quaker, and Tropicana – is expanding its Global Digital Commerce Team to power International Growth. We’re looking for the greatest minds in data & analytics, data engineering, software development, machine learning optimization and more. All with the aim to empower out International expansion and delight our consumers through addressing of current and future facing butsiness challenges that are complex and require insightful and impactful solutions.

We are looking for seasoned data scientist to join our team as we continue to grow our capability footprint across https://jobeax.com/link/lLogAk8j0GqbRJIG DS will be part of a collaborative interdisciplinary team around data, where will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. DS will work closely with process owners, product owners and final business users.

Responsibilities

• Contribute to best practices for engineering, and coding as part of a world class engineering team in PepsiCo.
• Work with the product team leveraging our core technology platforms
• Active contributor to code development in projects and services
• Act as contributor in innovation activities
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Partner with DS and ML engineers working on industrialization.
• Occasionally, coordinate work activities with Business teams, other IT services and as required.
• Communicate with business stakeholders in the process of service design, training and knowledge transfer.
• Support large-scale experimentation and build data-driven models.
• Set KPIs and metrics to evaluate analytics solution given a particular use case.
• Refine requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create reusable packages or libraries.

Qualifications

• 4+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
• 4+ years’ experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis.
• 4+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
• 4+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
• Expertise in creating models that captures the impact of input drivers on KPIS
• Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
• Experience with Agile methodology for team work and analytics ‘product’ creation. Fluent in Jira, Confluence.
• Experience in Simulation and Optimization problems in any space is a plus.
• Experience with Responsible AI is a plus.
• Experience with distributed machine learning is a plus
• Experience in Retail, E-commerce or Financial Services domain is preferred.
• Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required
• Hands on experience of handling large data sets and use of python/PySpark/SQL/Hive/Impala for data analysis
• Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work.
• Outstanding written and verbal communication skills

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

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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