General
SeniorFulltime
Languages
English - Upper Intermediate
Skills
Big DataAdvertisingPythonAlgorithmscommunication skillsMarketingAnalyticsDevelopmentStatisticsData ScienceEngineeringComputer ScienceMathematicsETLResearchsparkmlJavaScriptScalaDigital MarketingSciencePhysicsKubernetesProgrammatic advertisingDistributed ComputingReal-Time Bidding

Description

Simplaex is looking for an outstanding Senior Data Scientist to work on the models and optimization algorithms at the core of Rivr, an audience-powered yield manager for publishers and SSPs to better monetize their ad inventory:

Rivr is focusing on the bigger picture questions for the advertising ecosystem – so instead of running campaigns or delivering ads we focus on solving the key problems in programmatic advertising by improving how real time bidding auctions are run

We believe that Rivr will help strengthening an independent advertising ecosystem to sustain against the growing power of the Google & Facebook duopoly

As a Senior Data Scientist at Simplaex, you will have the opportunity to work on large advertising data sets with 10s of billions daily events, and to influence the long-term evolution of our algorithms and models – we look for people who can bring creative ideas to ML problem solving! You should have excellent technical, business and communication skills to be able to work with business partners and development teams to define and prioritize optimization problems, build data sets, statistical models and low latency delivery mechanisms for the real time bidding ecosystem.


Your qualifications

  • Min. 5 years of work experience in a commercial data science environment that requires the combined application of statistical & technical skills (work experience in a startup environment preferred)
  • Strong statistical and research skills with a track record of using a variety of statistical methods (especially classification/prediction models)
  • Excellent development skills (Python required, JavaScript or Scala a plus)
  • Experience in working on big data with distributed computing (Spark, Airflow, Kubernetes)
  • Familiarity with digital marketing, advertising or analytics is a plus
  • Theoretical background knowledge like from a relevant BSc, MSc or PHD is a big advantage  (e.g. in Mathematics, Computer Science, Statistics, Physics)


Your responsibilities

  • Lead the analysis of advertising "big data" to inform the future development and efficiency of our optimization algorithms in the advertising operations realm
  • Use analytical, statistical and database skills to understand large, complex datasets with the aim to increase advertising efficiency
  • Develop & improve algorithms for automated decision making around programmatic advertising - From auction level to campaign or targeting setup; from floor and bid prices to budget allocation; from determining market prices to evaluating demand in the real time bidding ecosystem


Our setup

  • The ML team you join has end to end responsibility – from how to model a problem in better ways, via prototypes all the way to writing production code and ongoing improvement once running live
  • We want you to experiment and play with unusual ways to approach a problem model-wise
  • The engineering & ETL work to process all customer data is done by our data team – who deliver to your ML team data from all customers in a unified format
  • The role will sharpen your data engineering skills – we also optimize the computational performance of all our models, as these need to scale on growing sets of big (really big) data