Data Scientist
hace 1 semana
PepsiCo is a global food and beverage leader with a diverse portfolio of brands that generate significant revenue. Our main businesses – Quaker, Tropicana, Gatorade, Frito-Lay and Pepsi-Cola – offer a wide range of enjoyable foods and beverages that are loved worldwide.
About Data & AnalyticsPepsiCo Data & Analytics transforms data into actionable insights, building and organizing business-ready data to empower leaders to make informed decisions. Our platform of data products and services enables data-driven solutions, driving new revenue streams, deeper partner relationships, and innovation across the enterprise.
Job DescriptionYou will be part of a growing team in Barcelona, Vitoria, Mexico City, or Hyderabad, working on global digital developments for PepsiCo. These projects will focus on revenue management, supply chain, manufacturing, and logistics. As a key member of the team, you will be responsible for building deployable statistical/machine learning models, starting from the discovery phase. You will collaborate closely with process owners, product owners, and business users to ensure a deep understanding of critical project requirements.
Responsibilities- Partner with data engineers to ensure data access for discovery and proper data preparation for model consumption.
- Collaborate with ML engineers on industrialization.
- Coordinate work activities with Business teams, other IT services, and as 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 experimentation and build data-driven models.
- Set KPIs and metrics to evaluate analytics solutions given a particular use case.
- Refine requirements into modeling problems.
- Influence product teams through data-based recommendations.
- Research state-of-the-art methodologies.
- Create documentation for learnings and knowledge transfer.
- Create reusable packages or libraries.
- 2+ years working in a team to deliver production-level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker is a plus.
- 3+ years' experience in ETL and/or data wrangling techniques. Fluent in SQL syntax.
- 3+ years' experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experience with Deep Learning is a plus.
- 3+ years' experience in developing business problem-related statistical/ML modeling with industry tools, with primary focus on Python or R development.
- 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.
- Experience with Azure cloud services is a plus.
- Experience with distributed machine learning is a plus.
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