Data Science Analyst

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

The Data Science will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines.

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.

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

- Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
- Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
- Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
- Use big data technologies to help process data and build scaled data pipelines (batch to real time)
- Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines
- Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
- Automate ML models deployments

Qualifications:
**What you will need to succeed**:

- 3+ years of overall experience that includes at least 2+ years of hands-on work experience Data Science / Machine learning
- Minimum 2+ year of SQL experience and 1+ 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 inspiring positive change for the planet and people.
So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.
- We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.

LI-Hybrid
Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain