Global Data Solutions Manager
hace 1 mes
About PepsiCo
PepsiCo is a leading food and beverage company with iconic brands consumed over a billion times daily in 200 countries. With a portfolio of 22 world-renowned brands, including Pepsi, Gatorade, and Quaker Oats, we offer diverse career opportunities for those passionate about making a positive impact.
Your Role as Data Science Manager
We seek an experienced Data Science Manager to join our growing team in Monterrey, Mexico. As a key member of our data-driven organization, you will lead the development and support of global digital solutions focused on revenue management, supply chain optimization, manufacturing, and logistics.
As a technical lead, you will oversee collaborative interdisciplinary teams to build deployable statistical/machine learning models, working closely with process owners, product owners, and business stakeholders. Your expertise will ensure seamless data access, model consumption, and innovation activities.
Your Responsibilities
- Lead project teams as tech lead, overseeing digital projects from start to finish.
- Partner with product managers to assess DS requirements and integrate DS components into roadmaps.
- Collaborate with data engineers to ensure data access and preparation for model consumption.
- Drive the use of Platform toolset and focus on 'the art of the possible' demonstrations to the business as needed.
- Communicate effectively with business stakeholders during 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.
- Influence product teams through data-based recommendations.
- Research state-of-the-art methodologies and create reusable packages or libraries.
Your Qualifications
- 9+ years' experience building solutions in commercial or supply chain spaces.
- Fluent in git (version control) and understanding of Jenkins, Docker.
- Experience in ETL and/or data wrangling, fluent in SQL syntax.
- Expertise in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
- Business storytelling and communicating data insights in business consumable format.
- Strong communications and organizational skills with ability to deal with ambiguity while juggling multiple priorities.
- Experience with Agile methodology for team work.
Salary Information
Our estimated salary range for this position is $120,000 - $180,000 per year, based on industry standards and location. We are committed to offering competitive compensation and benefits packages that align with your skills and experience.
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