Senior Data Scientist (BK)

Senior Data Scientist (BK)

#17382368 | 08 February, 2019
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Zurich, Zurich, Switzerland
Type of position
Required years of experience
2 to 5 years
Required languages
Educational requirements
Required skills
BI Other

We are currently looking on behalf of one of our clients based in Zurich for a Senior Data Scientist for a short-term contract (3 months initial with good possibility of extension).


Your role:

  • Analyse, understand and contextualize data-sets from a variety of sources.
  • Turn raw data into features to be used in machine learning models.
  • Act as a full-stack everything: data scientist, engineer, etc. 
  • Communicate with algorithms engineers located abroad and apply code written by them on the customer's data
  • Communicate the development results to the client

Your skills

  • Minimum four years of relevant work experience as a Data scientist / Machine learning from the industry.
  • 4+ years of experience manipulating data sets and building statistical models.
  • Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
  • Strong ability in at least one programming language, preferably Python.
  • Experience working with and creating data architectures.
  • Experience processing large amounts of structured and unstructured data.
  • A successful history of manipulating, processing, and extracting value from large disconnected data-sets.
  • An all-around data scientist: strong statistics background, experience in algorithm programming, experimentation, data visualization, machine learning, optimization and big data
  • Being able to train elementary machine learning models, to select the right tool or the right task and to judge when a model is good enough for a particular purpose
  • Excellent communication skills; the ability to convey complex analysis results clearly and with conviction to levels
  • Implemented multi-core/distributed software, preferably in a Linux environment
  • Experience solving real problems using machine learning techniques and with statistical rigor
  • Prior practical experience with the elementary machine learning models such as logistic regression and random forests, and experience with one more other areas such as: (Deep) Neural Networks, Natural language processing Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design, Latent Dirichlet Allocation.

Your profile:


  • Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
  • Autonomous
  • Good soft skills and able to work with a remote team

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