Position title
Data Scientist (m/f/x) with focus on machine learning model delivery
Description

Company Description

Dynatrace exists to make software work perfectly. Our platform combines broad and deep observability and continuous runtime application security with advanced AIOps to provide answers and intelligent automation from data. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences.

We're an equal opportunity employer and embrace all applicants. Dynatrace wants YOU—your diverse background, talents, values, ideas, and expertise. These qualities are what make our global team stronger and more seasoned. We're fueled by the diversity of our talented employees.  

Job Description

Data Science | Machine Learning | AI | Time Series | Big Data  

Your role 

  • Find the best machine learning models to solve time series problems on a large scale (e.g. anomaly detection, forecasting) 
  • Implement machine learning models in Python, Java and/or C++ so they can solve problems at scale and can be used by our Davis® AI engine in the Dynatrace product and other services provided to our customers. 
  • Ensure and improve the quality of machine learning models so they can be used in production (e.g. regression testing, parameter tuning, CI/CD) 
  • Create data pipelines so we can deliver the created models to our customers. 
  • Collaborate with other developers and product management to integrate feedback and create value for Dynatrace customers. 

Qualifications

  • Technical education in Computer Science, Data Science, or related field 
  • 2+ years of professional experience in software development in a high-level language (e.g. Java, C++, Python) 
  • Experience in building machine learning models (preferably using time series data) 
  • Experience in working with APIs and databases (SQL) 
  • Beneficial: Knowledge on CI/CD tooling (e.g. Jenkins) 

Additional Information

What's in it for you? 

  • one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly
  • Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research. 
  • Working models that offer you the flexibility you need, ranging from full remote options to hybrid ones combining home and in-office work.   
  • A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries.  
  • An environment that fosters innovation, enables creative collaboration, and allows you to grow
  • A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals.   
  • A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team. 
  • A relocation team that is eager to help you start your journey to a new country, always there to support and by your side. 

Compensation and rewards

  • We offer attractive compensation packages and stock purchase options with numerous benefits and advantages.    

  • Due to legal reasons, we are obliged to disclose the minimum salary for this position, which is € 45,500 gross per year based on full-time employment. We offer a higher salary in line with qualifications and experience.   

How the process will look like

Your teammates will gather all requirements within our organization. Then, once priority has been discussed, you will decide as a team on the best solutions and architecture to meet these needs. In continuous increments and continuous communication between the team and stakeholders, you’re part of making data play an even more important (and understood) part withing Brand New Day.

 

Job Benefits

EUR 45K+

Employment Type
Full-time
Beginning of employment
asap
Job Location
Linz, Vienna, Austria
Working Hours
40
Base Salary
euro EUR 45K+
Date posted
June 5, 2024
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