Senior Data Science Director

hace 7 días

Barcelona, Barcelona, España Pepsico Deutschland Gmbh A tiempo completo

Overview

Are you a seasoned data science professional looking to lead a team in building and growing a proprietary forecasting engine for a global leader like PepsiCo? As a Senior Data Science Manager, you will have the opportunity to drive global digital advancements for PepsiCo by creating deployable statistical and machine learning models.

Key Responsibilities

• Develop a sustainable analytical toolkit (PepsiCo forecasting engine) in the form of libraries or components that can be deployed via configuration for specific projects and datasets. The toolkit should primarily focus on time series forecasting and recommendation engines, with functionalities such as hypothesis testing, back-testing, and time travel.
• Manage requests from various market-specific teams through data-driven prioritization, keeping the long-term product vision in mind.
• Collaborate with data engineers and other data teams to ensure data readiness and accessibility for model consumption.
• Coordinate work activities with Business teams, other IT services, and other teams, 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 hypothesis testing and build data-driven models.
• Set KPIs and metrics to evaluate analytics solutions given a particular use case.
• Translate requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Research and bring to practice state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Manage team members' objectives and expectations.
• Organize day-to-day tasks and mid-term roadmap of releases, using ADO board or any other tool.

Qualifications

• 4+ years of experience as a data science Manager, leading scalable developments of Data Scientists and ML Engineers, preferably focused on development of reusable analytical toolkits, ideally in the field of time series forecasting.
• Experience building solutions in the supply chain space is preferred, with a particular emphasis on demand planning being a plus.
• 8+ years of experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems, and in particular time series forecasting. Experience with Deep Learning is a plus.
• 6+ years of experience in ETL and/or data wrangling techniques.
• 6+ years of experience in developing business-centered statistical/ML modeling with the use of industry tools, preferably Python or Scala-based.
• Fluent in Git (version control). Understanding Docker is a plus.
• Experience with distributed machine learning.
• Business storytelling and communicating data insights in business consumable format.
• Strong communication and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.
• Experience with Agile methodology to organize teamwork and analytics 'product' creation.

About Us

PepsiCo believes that culture should be at the cornerstone of everything we do. 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.

What We Offer

• 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.
• Volunteering opportunities to help external communities.
• Diverse team with more than 30% of female representation & over 30 nationalities.

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