Data Engineer / Scientist

You are an experienced developer of data driven solutions or a programmer and actively want to expand your skill set? Do you want to participate in European industry's digital transformation? At Applied Statistics we are looking for new experts to join our data consulting teams in Vienna and Klagenfurt, Austria. Please note that we are looking to fill multiple position and are currently open to all levels of seniority. (Junior- Mid- and Senior roles.)

Data Engineer / Scientist

(with Python focus) (m/f/d) , Location: Vienna or Klagenfurt

Company description:

Applied Statistics is a young data science consultancy based in Vienna and Klagenfurt. We develop customized data driven AI-solutions and support customers in various digitalization projects with focus on data driven optimization in production and maintenance and the intelligent automation of administrative processes in industry.

Your tasks:

In your future job, you will be a valuable part of the Applied Statistics team and work together with skilled Data Scientists and Data Engineers. The tasks vary greatly depending on the client, project and technical focus. Therefore, it is crucial to enjoy learning new technologies and finding creative solutions.

The tasks at Applied Statistics comprise:

  • Building scalable data platforms
  • Designing and automating data pipelines and workflows
  • Analyzing data and developing AI models
  • Integrating data-based insights into client systems

Qualifications:

The used toolstack evolves rapidly and varies from project to project. It is therefore particularly important to be able to adapt quickly.

Particularly we are looking for the following skills:

  • Advanced education in computer science / software engineering /mathematics / statistics or similar (depending on the seniority level you are applying for: technical school or University of applied sciences)
  • Practical experience in development with python or R
  • Basic understanding of database systems

Basic understanding of machine learning concepts

Advantage, but not a prerequisite:

  • Experience with integration in BI tools (Power BI, Tableau, Grafana)
  • Experience with virtualization of solutions (Docker)
  • Experience with applications in cloud systems (AWS / Azure)
  • Experience with Apache toolstack (Airflow, Kafka, Spark)
  • In-depth experience with database systems (Postgres, Influx, Mongo)
  • Experience in design and architecture of data lakes, data pipelines and data-driven applications
  • Experience with code versioning (git) & CI / CD pipelines.

Your day-to-day work:

You work on data-driven solutions and support the implementation within our client's architecture. We live the lean idea and develop in close coordination with the end user. This ensures regular customer feedback and ongoing optimization. Your work has a direct, real economic impact on the processes of our client companies.

In your daily work, you will be able to work independently or in teams on projects and help shape suitable solutions. A lot of emphasis is placed on self-organization, creative solution finding and teamwork. Direct customer communication is part of your daily routine, as is the implementation of technical solutions.

The projects you will work on cover topics such as saving resources, regulating energy consumption, or reducing emissions. Our areas of expertise range from intelligent automation and statistical optimization to condition monitoring and predictive maintenance.

Our goal is to shape industry more efficient and sustainable with the help of state-of-the-art digitalization measures.

We offer:

  • An annual gross salary of at least EUR 35,252 to 50,642 according to the Austrian collective agreement with a willingness to overpay in accordance with experience and qualifications.
  • Flexible working environment with free time management and home office
  • Central office in the heart of Vienna (including coffee, tea, and great location)
  • Dedicated time for individual training

Challenging and above all varied activities in a young and dynamic team with a family feel environment

Applied Statistics GmbH
Janine Goganrecruiting@applied-statistics.at
Web: https://www.applied-statistics.at/

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