Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, Churn, NBO, Risk, and Segmentation. Pecan does not require from its customers any data preparation, engineering or prepossessing - it connects directly to raw data, and uses neural networks to automate the entire predictive process.

What You'll Do

As a Junior Engineer, you will be retrieving, cleaning, organizing, and maintaining multiple 3rd party datasets for model enrichment at Pecan's AutoML platform. 

Data processing: You will deal with big amounts of data, updating frequently. Effective scripts to handle processes and support Customer needs in time are part of the puzzle.


Who You Are & What We're Looking For

You should be creative - Find interesting data and relations between existing customer data and possible general data enrichment opportunities.
A problem solver - Deal with scalable and robust solutions to deal with multiple data providers API
A team player with self-learning capabilities and the ability to work in a fast, dynamic, and demanding environment.

  • Experience with Python (Pandas, NumPy), Git, SQL, PySpark
  • Experience with AWS / Databricks - advantage

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