Data Scientist

Location
St. Marienkirchen
Department
R&D

Young, pioneering and ready to transform the railway industry.

Sensonic is a trailblazer, leveraging data to enable more efficient railway operations using Fiber Optic Sensing. Founded in Austria and the UK by experienced technology players, the company is on a high growth journey to support the global railway industry as the leading information provider. Our team of software and artificial intelligence experts aim to convert data into actionable and predictive information for railways to contribute to a sustainable future.  

If you are looking for a company where self-organisation, agility and flexibility is lived, combined with an outstanding company culture and passion for development that drives the team, then Sensonic is the place for you. Apply now for:

Your main Roles and Responsibilities

  • Help to shape our ground-breaking development projects of the future, particularly in the fields of machine learning, deep learning, data analysis and signal processing
  • Conceptualise, plan, implement, maintain and verfiy data science projects
  • Analyse, process and visualise our data sets
  • Implement machine learning algorithms in production to solve technically demanding tasks

Essential Skills and Experience

  • College or university degree in a technical field such as computer science, data science, physics, engineering, mathematics, or similar
  • Knowledge and practical experience in the areas of machine learning, deep learning, data analysis or signal processing
  • Programming knowledge in Python, MATLAB or GO are advantageous
  • Experience with machine learning software packages such as TensorFlow and scikit-learn
  • Good analytical, conceptual and communication skills in spoken and written English
  • Enjoy solving technically demanding tasks within interdisciplinary teams

We offer you

  • a secure job in an international environment
  • an agile and open corporate culture
  • the opportunities for personal development and further training
  • attractive social benefits such as free lunch, fruit and coffee, free childcare, numerous sports offer, company events and much more
  • a gross annual salary for 38.5 hours per week from EUR 35.000,00 - the actual salary is based on the current market and takes qualifications and experience into account

Benefits

Our employees are our greatest assets. In our location in Austria we offer them the following benefits: 

Flexible Working Hours

Different working time models without core time ensure plenty of flexibility. Comp time or days off can easily be coordinated with your team.

Further Training

We’ve got a generous budget for company internal and external training. If you like, you can opt for a Bildungsteilzeit (part-time job for pursuing some form of further education).

Family Support

Since September 2019, “LOKOCare” offers free, year-round childcare services right on our premises.

Free lunch

Free lunch is served for all our employees during work week. Coffee, tea, hot chocolate and fruit are provided around the clock.

Company iPhones

Depending on necessity for your work, you’ll receive an iPhone from us.

Car Park

Free company parking spaces are available right next to the building, and there is sheltered bicycle parking as well.

Fitness

Our team regularly does sports together – for instance, playing soccer or volleyball. If you’re exercising privately or at a gym, you’ll receive a financial contribution from us.

Health

With “rundum g’sund” (“healthy all around”), we offer an extensive programme of events revolving around the topics of health, sports and nutrition. Additionally, you’re welcome to make use of a health consultation every four weeks.

Company Events

Excursions, sporting events, fitness training sessions, workshops, presentations: As a part of our team, you can look forward to various regularly held events. What’s more, the entire staff gets together four times a year.

Data Scientist

Apply for this job
Application

Data Scientist

Upload documents (max. 10 mb)
Share now!