Software-engineer for Digital Ads – machine learning

  • Software-engineer position for Digital Ads – machine learning

    Position title: Software engineer python/scikit-learn – Digital ads – time series predictions and supervised learning

    Location: Data Science and Mining group, LIX, @ Ecole Polytechnique, France
    Starting date: as soon as possible
    Duration: 12-15 months (Full-time)
    Salary: Very good, depending on the candidate’s experience

    The context of the project is the effect of digital TV advertising on website traffic. The objective is predicting the change in traffic on the website of the advertiser after the TV ad placement. A machine-learning model needs to be trained based on available data. Also we would like to study the effect of digital ad campaigns on the behavior of users. Apart from the software development aspect, this position has a certain academic flavor and can be a prelude to a further collaboration with the lab.

    Required skills:
    a. Bachelors degree (at least 4 years of Univ. studies) in Applied Math, Computers Science or Engineering; A Masters degree is a plus
    b. Experience in Python programming
    c. Understanding of code versioning tools (e.g. Git, SVN)
    d. Understanding of distributed ML with SPARK
    e. Good understanding of time series algorithms and machine learning in general

    Desired skills:
    a. Ability to write reusable libraries
    b. Ability to work independently
    c. Good communication skills
    d. Very good knowledge of English language

    Communication: Interested candidates are invited to send by email (Subject: COM4U1 – Software Engineer Position):
    a. their full CV
    b. a motivation letter
    to Prof. Michalis Vazirgiannis (