Data Science Intern

hace 5 días

Cornellà de Llobregat, España PepsiCo A tiempo completo

Overview:
PepsiCo is using the power of data to transform the way our world-famous portfolio of brands are sold every day. Our Data Science & Analytics group influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the data science roadmap across all of our brands. Members of our team solve complex problems facing our rapidly changing business and get tosee their work come to life in the real world.

We are offering you Data science Internship to join our Data Science team for 12 months where you will be part of a collaborative interdisciplinary
team around data, and you will be building deployable statistical/machine learning models, starting from the discovery phase.

We are offering you Data science Internship to join our Data Science team for 12 months where you will be part of a collaborative interdisciplinary team around data, and you will be building deployable statistical/machine learning models, starting from the discovery phase.

**Responsibilities**:

- Researching and developing statistical and Machine Learning models in the Supply Chain domain
- Implementing algorithms in Python and performing different experiments to validate that the models are fit for purpose
- Making scalable data science pipelines

Qualifications:

- A Bachelor or Master degree in STEM (Computer Science, Computer Engineering, Software Engineering, Statistics, Physics, Mathematics,

other related majors may be considered)
- Technology related experience a plus
- Ability to learn new technologies and processes information quickly
- Ability to adapt to changes in timelines and sequences
- Excellent verbal and written communication skills

Differentiating Competencies Required:

- Machine Learning
- Time Series Forecasting
- Object-Oriented Programming in Python. Any other programming experience will be valuable
- Git
- Big Data
- Databricks and Spark
- Azure

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