Machine Learning Engineer
hace 4 semanas
PepsiCo is a global food and beverage leader with a diverse portfolio of 22 brands that generate over $1 billion in annual retail sales. Our main businesses – Quaker, Tropicana, Gatorade, Frito-Lay, and Pepsi-Cola – offer a wide range of enjoyable foods and beverages loved worldwide.
About Data & AnalyticsPepsiCo Data & Analytics transforms data into consumer delight by building and organizing business-ready data. This enables PepsiCo's leaders to solve problems with confidence. Our platform of data products and services ensures data is activated at scale, driving new revenue streams, deeper partner relationships, and innovation across the enterprise.
Job DescriptionYour role will be part of a growing team in Barcelona, Vitoria, Mexico City, or Hyderabad, creating and supporting global digital developments for PepsiCo. These developments will focus on revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners, and business users to provide visibility and understanding of critical developments.
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.
- Develop reusable packages or libraries.
- 2+ years of experience working in a team to deliver production-level analytic solutions, fluent in git (version control), and understanding of Jenkins, Docker.
- 3+ years of experience in ETL and/or data wrangling techniques, fluent in SQL syntax.
- 3+ years of experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems, with experience in Deep Learning a plus.
- 3+ years of 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 and distributed machine learning a plus.
This role will support the development of data-driven solutions, working closely with cross-functional teams to drive business outcomes. The ideal candidate will have a strong background in statistical modeling, data wrangling, and data visualization, with experience in industry tools such as Python or R.
What We Offer
PepsiCo offers a collaborative culture, worldwide presence, and a platform to be daring on a global scale. We provide opportunities for growth, learning, and development, with a focus on data-driven decision making.
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