Oferta pracy

Senior Data Scientist (m/f/d)

relayr sp. z o.o.

18 00021 000 gross / mth.
  • Uniwersytecka 20, Katowice
    Katowice, Silesian
  • offer expired over a month ago
  • contract of employment
  • full-time
  • senior specialist (Senior)
  • home office work, hybrid work
  • remote recruitment

relayr sp. z o.o.

Uniwersytecka 20

Katowice

Technologies we use

Expected

  • Python

About the project

As a Senior Data Scientist you will be pushing the boundaries of technology. We tackle challenging problems in the fields of data science and machine learning research to develop solutions from early prototypes to fully-fledged production-ready systems in the cloud and on the edge. We are looking to recruit highly motivated engineers and scientists that can successfully rise to the diverse challenges in the emerging market of the Internet of Things.

Above all, we are looking for people who will contribute to the success of relayr. We love diverse experiences, so even if you don’t meet all the requirements but think you’d thrive in this role, we would really like to learn more about you.

Your responsibilities

  • Helping Relayr building the world’s most advanced IoT Cloud Platform.

  • Designing, prototyping, and refining our predictive maintenance algorithms.

  • Developing data pipelines that span from edge to cloud.

  • Implementing MLops solutions for continuous deployment, monitoring, and retraining of models.

  • Conducting in-depth literature research, evaluating new machine learning methods and developing predictive models.

  • Working in a cross-functional team together with Solution Architects, Backend Developers, and other Data Scientists.

  • Performing ad-hoc data analysis and presenting results.

  • Prototyping and iterating quickly.

  • Engaging in architectural discussions.

  • Participating in workshops to align customer requirements with our product and our business goals.

Our requirements

  • Master's degree or Ph.D. in Computer Science, Engineering, Physics, or another relevant field.

  • Minimum 5 years of experience in the analytics field.

  • Good experience with Python.

  • Significant experience with machine learning techniques ideally supervised learning and anomaly detection. Alternatively in-depth experience of implementing complex mathematical algorithms and a keen interest to dive into learning-based analytics.

  • Ability to explain data science concepts and requirements to non-technical audiences.

Optional

  • Experience with cloud technology (preferably Azure).

  • Experience with predictive maintenance algorithms.

  • Experience with time-series data.

  • Good knowledge of traditional signal processing.

What we offer

  • Flexibility and safety are important to us! As a company we were quick to react when the Corona pandemic began, sending all our employees to work from home. If you start out as a new employee at relayr, you will be working from home, enjoy a structured digital onboarding programme and flexible working hours.

  • Modern office located in Katowice city centre with a relaxation room, free coffee, snacks, and standing desks.

  • Get exposed to international colleagues and customers from around the globe. Our working languages are Polish and English!

  • An extensive on-boarding period so you can get up to speed with the rest of the team.

  • A learning environment where you can build upon your skills and interests, share knowledge, and attend events and conferences pertaining to your discipline. We also offer free English classes.

  • Have some fun with regular get-togethers, including sports events, seasonal parties, international trips and meetings.

  • Competitive salary.

  • IP author’s rights tax reliefs due to creative type of work (prawa autorskie).

  • 30 paid vacation days + public holidays.

  • Benefits package, including private health care, life insurance, and fitness passes.

  • We partner with Fürstenberg Institute and LuxMed to provide our employees with psychological support and career coaching.

  • Choose between a Mac, Windows, or a Linux machine.

  • Hands-on experience with cutting edge technology, space for research and exploration.

  • We offer the ability to work with the newest tech-stack and the most talented engineers in IoT industry!

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • remote work opportunities

  • flexible working time

  • integration events

  • no dress code

  • coffee / tea

  • drinks

  • leisure zone

  • christmas gifts

  • employee referral program

  • charity initiatives

relayr sp. z o.o.

Relayr is the Industrial Internet of Things (IIoT) powerhouse delivering the most complete solutions for a risk-free digital transformation and supporting our customer on the journey to Equipment as a Service.

We enable industrial companies to shift from CAPEX to OPEX-based offerings by providing a combination of unique IIoT technology and solutions with powerful business services such as IoT Financial Services or bespoke transformation de-risking instruments – all from a single source.

With around 300 employees, we are a truly global family with locations in Germany, the USA, Poland, Italy, and the UK. Named twice the hottest start-up in Berlin by WIRED magazine and a winner of The Spark - the German Digital Award, relayr is now part of the Munich Re group.

The Polish division of relayr is responsible for developing software for the IoT enterprise platform with all software designed, implemented, and tested in Katowice. We also provide support for the installation and maintenance of our software for clients across the globe.

At relayr, we are passionate about creating an inclusive workplace that promotes and values diversity. As firm believers in the power of different perspectives, we encourage our employees to share knowledge and exchange bold ideas to help innovation in the IoT industry thrive. We are committed to creating a fair, supportive, and open environment for all.

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