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Quantum Data Scientist

Our client, a leading player in the IT-industry, is currently looking for an Quantum Data Scientist to support their Research Centre who is specialized in Quantum Computing. They have been studying quantum computing for several years and has become the world’s center of expertise on topological quantum computing.

The Quantum team at our client is developing a full-stack quantum computer, consisting of a quantum plane, cryogenic control and readout circuitry, classical control processor, runtime software and quantum language compiler. To help interpret the large amount of data generated by their qubit experiments, our client is looking for a talented and driven quantum data scientist who knows it’s way with Quantum Computing Data and around the Engineering problems.

The ideal candidate would have strong understanding of data science and engineering, strong software development skills, and experience in machine learning. The candidate should enjoy working in a small “startup” environment, agile prototyping, and facing new ideas.


You will be part of a team building topological qubits, leveraging your data analysis skills to uncover actionable insights that accelerate our qubit development.

You will be responsible for developing the use cases for advanced statistics, predictive data science and machine learning. Working with experimental and theory teams,

You will tailor, design and deliver data-driven insights and solutions as required by the rest of the quantum team.

Your results will help to guide and refine our experimental direction, providing a crucial information for our decision making.

Attention to detail, knowledge of good software engineering / data management principles, and excellent communication skills are a must to accommodate a rapidly shifting experimental landscape.

Position Requirements/Qualifications

  • MS in computer science, machine learning, mathematics, AI, or a related engineering field
  • 3+ years of proven experience in data engineering, data science, machine learning, or data analytics in a professional engineering context.
  • Strong knowledge and experience with key data science areas such as machine learning, deep learning, anomaly detection, predictive analysis, and exploratory data analysis.
  • Demonstrated ability to use data science skills to add value in engineering decision-making.
  • Excellent software engineering skills, especially with python in a data science context. Experience with
    • Python, including Pandas, scikit-learn, numpy
    • Setting up, maintaining and using cloud-based relational databases
    • Experience with Linux (bash scripting), Azure and Docker are a plus
  • Ability to succeed in a team-oriented, fast-paced environment.
  • Background in physics, quantum mechanics, or quantum engineering extra credit.

For more information on Madison Parker International or this position, please call Cheryl Pinontoan, Recruitment Account Manager on +31(0)70 387 5911 or email your resume directly to


Job Details

  • Location: Delft
  • Job Type: Temporary Payroll
  • Date Posted: 16 Nov 2018
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