Data Scientist: Marketplace Optimization

Ljubljana, Slovenia · Engineering

Description

Zemanta is seeking an experienced Data Scientist with strong backend engineer skills to optimize its bidding into a dynamic and large-scale online marketplace. The position requires modeling price points that will optimize Zemanta's gain from bidding on media, in a dynamic environment of hundreds of millions of auctions per day, involving other strategic players. In addition to modeling the optimal buying dynamics, the successful candidate is expected to be able to implement the optimized media-buy policy in a production-grade environment.

Requirements

  1. MSc or PhD in Computer Science, or a graduate level mix of degrees in Computer Science and Economics.
    • Knowledge in Game Theory/Mechanism Design is a plus.
  2. Proven experience in formulating real-world business problems as computational optimisation problems.
  3. Proven ability to work with business counterparts in addition to technical colleagues.
  4. At least 3 years of non-academic experience of back-end development in Java/Scala or similar languages.
  5. At least 3 years of experience in building machine learned models over large datasets with Apache Spark or Hadoop/MapReduce.
  6. Experience in taking machine learned models to production in a high throughput, low latency environment.

Benefits

We care deeply and invest heavily into our team, setting everybody up for growth and success. In addition to being a part of a great team, working in a fast-paced startup environment, learning from other smart people and skyrocketing your skills, we offer:

Not from Ljubljana? No problem - if you're the right person for the job, we will help you with your relocation.

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