Data Science Manager

Overview:
**Are you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations?**

With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AIProducts. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI.

Position Overview:
Your role will be to be part of growing team based in Spain, to create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, supply chain, manufacturing, logistics.
You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase.

You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Focus of the role will be demand forecasting and other associated analytics. Focus of this role will be demand forecasting for the Integrated Business Planning (Supply Chain planning program)

You will be an internal ambassador of the team’s culture around data and analytics and become a champion of talent development. You will provide stewardship to colleagues in the areas that you are and specialist or you are specializing.

**Responsibilities**:
**Your day to day with us**:

- Lead other team members in the different digital projects acting as a data science lead for the project.
- Act as stream leader in innovation activities
- Partner with product managers in taking DS requirements and assessing DS components in roadmaps.
- Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
- Lead ML engineers working on industrialization.
- Coordinate work activities with Business teams, other IT services and as required.
- Drive the use of the Platform toolset and to also 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.
- Experience in cloud-based development and deployment (Azure preferred)
- 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.
- Experience in leading contractors or other team members

Qualifications:
**What will you need to succeed?**
- 8+ years working in a team to deliver production level analytic solutions.
- Strong Knowledge in Statistical/ML/AI techniques to solve supervised (regression, classification) and unsupervised problems, with focus on time series forecasting.
- Strong knowledge and experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python development.
- Business storytelling and communicating data insights in business consumable format.
- Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities

Competencies:

- Creative and collaborative mindsets for find solutions to challenging business problems
- Translates complex technical solutions into business understanding.
- Creates solutions with the ability to continually prove accuracy and with a design goal of productization/ reusability.
- Talent development and project planning
- Stakeholder management
- Presentation skills, both oral and written. Be able to explain data science results to a variety of audiences in several phases of project

**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 communitie