Data Visualization Specialist / Data Analyst (m/f/...

Company:
Location: 12489 Berlin

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At Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional backgrounds: software development, computer science, mathematics, physics, and metallurgy. Our goal is to leverage this expertise through trust and cooperation. We want to foster an environment where team members have frequent opportunities to learn from each other in fields that they are not (yet) experts.

The machine learning and data science we employ comes in several varieties: image processing, signal processing, classical supervised modeling, unsupervised methods, and fundamental statistics and probability. As a machine learning engineer, your specific expertise as well as your motivation would be the major factors in determining your day-to-day work.

We are grateful to stand on the shoulders of the open source giants. We use NumPy-flavored Python3 as the basis for our development, taking advantage of the availability of libraries designed for both software engineering and data science, ranging from Flask to SciPy, SQLAlchemy to Keras, Jupyter to Pandas, and many more. When we require client-side browser-based interactivity, we turn to JavaScript. We use many plotting libraries to create beautiful charts. We turn to Power BI to create data-driven, informative, and expressive dashboards.

Tasks

  • Conceptualize, develop and maintain enterprise grade Power BI dashboards, reports and datasets
  • Perform source data analysis, validation, modeling to determine the suitability of the source data
  • Create and visualize statistical evaluations, based on multidimensional data
  • Provide training of key users and contribute towards the continuous improvement of our data capabilities
  • Optimize, clean-up Power BI dashboards and datasets
Requirements

  • Bachelor’s / Master’s degree in a technically relevant field
  • At least 3 years practical experience in KPI visualization, data modeling, analytics, and methods
  • Strong visualization skills with proven ability to utilize the full functionality of Power BI or similar BI tools
  • SQL experience with Relational Database Management Systems (RDBMS) concepts
  • Knowledge of M and DAX languages, Python, and Microsoft Excel desirable
  • Fluency in English and German required, Russian is a plus
Benefits

  • Balance of autonomy and hierarchy
  • Transparent business strategy
  • Multidisciplinary team
  • Meaningful industrial problems
  • Modern Machine Learning
  • Sleek new office in Berlin
  • Educational opportunities
  • German language courses and public transport for free
Does that sound interesting? We would love to receive your application!

*** Mention DataYoshi when applying ***

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