Position: Data Engineer
Company: Perion
Experience required: 1y
English level: upper

Product:
We are building data-driven ad tech solutions that help big brands deliver their marketing messages in different channels in the most optimal way. Our proprietary algorithms are designed to optimize delivery and performance along in cross-network environment, in particular in Search, Social and Display. Among our clients there world-leading brands such as McDonald’s, L’Oreal, Honda, Mercedes-Benz, Nike and others.

**We expect you to have:**
2+ years of experience in data engineering or data science
2+ years of experience in Python 3 
Knowldge of common DS techonologies such as Pandas, Scikit Learn, Keras, Tensor Flow, Numpy
Hands-on experience with Apache Spark
Experience of creating data lakes
Experience of creating data processing pipelines
English (Upper-intermediate+)
Experience in adtech or martech companies
Understanding of adtech ecosystem (RTB, DSP, SSP)
Understanding of ad performance data (metrics, features, optimization approaches)

It will be an advantage to also know:
Koalas
ML Flow
Deltalake

**What will you do here**
Setup and maintain the infrastructure for R&D needs
Support DS team with preprocessing pipelines
Create the architecture and setup a data lake
Create a workflow for continious deployment of ML models
Work on the performance optimization of existing DS related functions
Take part in solving problems of bid and creative optimization, conversion rate prediction, outlier detection, timeseries prediction

**What we can offer you**
Smart and friendly team of people excited about data science
Spirit of startup inside a global company (as we used to be a start-up just 6 months ago)
A unique opportunity to build R&D architecture from scrath
You will participate in building of the ML-driven product used by hundreds of companies worldwide
Nice office next to Lva Tolstoho square
Collaboration with coleagues from Paris, New York and Tel Aviv
Official employment