Statistician/ Data scientist

Published on March 29, 2019
- in Job career, Jobs

About the company

Qubiz is a software development company that delivers custom-tailored IT solutions for growing companies – usually from Western Europe. Our solutions range from enterprise software applications and business intelligence solutions to web and mobile applications.Besides development, we also invest heavily in researching new technologies. We’ve started with machine learning, blockchain, AR/MR with Hololens, IoT. Now, we’re looking for someone to join our internal research team.

What will you be working on?

We have a number of clients who need to understand patterns in their data and to see how predictable the patterns are. Your job will be to help clients understand their data better and to create models that can cluster/classify the data.

Requirements for this role

  • Proven background in data science, including statistics, time series forecasting
  • Participate in requirements gathering; document business, functional and technical requirements
  • Gather, integrate, filter, clean and manipulate data using SQL, Python or R or Matlab
  • Identify, analyze, and interpret trends or patterns in complex data sets; analyze results using statistical techniques (Exploratory Data analysis)
  • Manage and develop key relationships with colleagues and clients through collaborative thinking with a strong client focus
  • Build mathematical models to detect and classify specific data elements with high accuracy
  • Prototype these models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production
  • Good verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
  • Strong fundamentals in problem-solving, algorithm design and complexity analysis
  • Experience with Machine Learning for algorithms for regression, classification, clustering, dimensionality reduction (At least 2 of 4)

On a personal level, you’re:

  • Passionate about algorithms and experimentation
  • Able to deal with a high degree of uncertainty (things might not work as expected as they are in the experimental phase)
  • Able to assess and apply researched technologies to a business context (for example, the traveling salesman problem: finding the shortest path between 10 cities while minimizing costs)
  • Team player

It’s a plus if you have

  • Experience with Python, ML algorithms, or complex algorithms
  • Experience with Linux Environment
  • Experience with C/C++
  • Experience with any of Git, Mercurial, TFS
  • Experience with cloud-based solutions: Amazon, Azure, Google, Firebase or others
  • A maintained GitHub account (or something similar)

Benefits

  • Friendly environment, a great team
  • Professional and personal development
  • Varied and challenging projects
  • All the support for a healthy life, sports, and hobbies
  • Fun in & out of office
  • And some money every month
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