Data Scientist

Description du poste

Are you looking for a new challenge? Do you thrive in a transparent and open environment where everyone can make a difference and be heard?

Then you should join us at the Media Harbour in Düsseldorf, Germanyas a Data Scientist.

About InVision, in a few words:
At InVision, we specialize in Workforce Management (WFM) and E-Learning solutions to help our clients optimize the scheduling and training of their most valuable resource: their people. Since 1995, we have developed our own software products that are today applied by thousands of users around the globe. We value simplicity, trust, and teamwork; you won’t find the usual hierarchical structures here. We are a proud and diverse group of international professionals; and on top of that, we are a certified Great Place to Work.

About this job:
For our workforce management portfolio we develop SaaS products with a particular focus on Predictive Analytics and Scheduling. Our interdisciplinary teams consist of Data Scientists, Software Engineers, UX/UI-Designers, Product and Customer Success Managers, and have the end-to-end responsibility for one product area. For our forecast product, we analyze data from our customers and determine patterns and trends such as seasonalities. From this, we derive models that enable our customers to plan their staffing requirements as precisely as possible. To achieve this, we utilize machine learning as well as classical time series analysis models.

Exigences du poste

What you'll do:

  • Develop high-quality forecast solutions
  • Transform customers’ business requirements into modelling problems

  • Implement experiments for model development, model selection process and research

  • Develop forecast models from cleaning data to post processing

  • Collaborate and pair with software engineers to deliver high-quality forecast models

  • Evaluate model performance, including the definition of performance criteria

  • Solve customers’ problems regarding forecast algorithms by fixing algorithmic bugs, and improving the existing model

What you bring to the role:

  • Profound expertise in classical time series forecasting methods, e.g. regression, ARIMA

  • Comprehensive knowledge of machine learning algorithms applicable to time series forecasting such as RNN, LSTM etc.

  • Solid foundation of mathematical statistics

  • Sound programming skills to quickly prototype and test models, and to perform analysis

What we offer:

  • Individual development: The personal growth of each employee is very important to us. So, if you're not just looking for a job, but want opportunities to advance yourself, this is the place for you.

  • Space for participation: Share your ideas with us. In return, we will give you the space necessary to grow creatively within an experienced, knowledgeable and fun team.

  • Continuous learning: Constantly broaden your horizons. Be it at our regular Open Spaces, at workshops, conferences or at our meetups and events, or by learning from failure.

  • Streamlined onboarding: We provide an in-depth, engaging onboarding program that brings you up to speed. Your colleagues will introduce you to everything you need to know, and will be available to answer your questions.

  • Flexibility: Working occasionally from home or need some help while relocating? If all fits together, we make many things possible.

  • Feel-good atmosphere: This includes a state-of-the-art working environment, with high-end IT equipment, free catering, public transport tickets, surrounded and supported by great colleagues.

  • ... and lots more.

Sounds good? Let's talk next steps:

If this job offer makes your heart skip a beat, and you’re a Data Scientist, Machine Learning Scientist, Data Engineer, or Mathematician with Data Science experience, don’t wait any longer: send us your application today.

We’re more interested in you as a person with all your experience and previous projects than a long list of qualifications. Even if you’re not sure whether you can fulfill all the tasks, or if you’re not always one hundred percent convinced of your abilities yourself, or you think you don't have enough self-confidence, please don't hesitate to send us your application. '

If you’re interested in the role, we would love to see your resume with a cover letter describing your interest in this position.

We’re an equal opportunity employer and value diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, pregnancy, age, protected veteran status, or disability status.

Any more questions? Have a look at our website: