Data Science Sr Analyst

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.

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. This Role focuses on Demand Forecasting in the Demand Planning functional area. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. 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. You will be an internal ambassador of the team’s culture around data and analytics. You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing

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

- Active contributor to code development in projects and services
- Act as contributor in innovation activities
- Partner with data scientist working on discovery, prototypes and pilot. Focus on experiment tracking.
- Partner with data engineers regarding data pipelines and data versioning.
- Build, deploy or publish machine learning models that run efficiently in cloud pipelines.
- Heavy focus on data wrangling implementation, business rules implementation, feature engineering at scale
- Help drive optimization, testing, and tooling to improve quality (unit tests).
- Monitor model performance (model decay), working with data scientists assessing bias and fairness.
- Prototype new approaches and build solutions at scale.
- Support large-scale experimentation done by data scientists.
- Research in state-of-the-art methodologies.
- Create documentation for learnings and knowledge transfer.
- Create and audit reusable packages or libraries.

Qualifications:
**What you will need to succeed?**
- 4+ years of overall experience that includes at least 3+ years of hands-on work experience Data Science / Machine learning
- Minimum 3+ year of SQL experience and 2+ years of Python and/or Pyspark experience

Skills, Abilities, Knowledge:

- Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models.
- Knowledge of Time series/Demand Forecast models is a plus
- Cloud (Azure) - Experience in Databricks and ADF is desirable
- Experience with version control systems like GitHub and CI/CD tools
- Experience is Exploratory data Analysis
- Knowledge of ML Ops / DevOps and deploying ML models is required
- Exceptional analytical and problem-solving skills
- Experience building statistical models in the Commercial, Net revenue Management or Supply chain space is a plus
- Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies

**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 communities
- Diverse team with more than 30% of female representation & over 30 nationalities
- Have a stake in D&I strategy and bring your whole self to work

**About PepsiCo**

**We believe that culture should be at the cornerstone of everything we do at PepsiCo. 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.
PepsiCo Positive (pep+) is the future of our organization - a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiri