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Data Scientist

New

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 55.000 € Gross/Year
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will work on diverse data projects, develop machine learning models, support the team in data processing and optimize existing models while collaborating with data engineers.

    Job Technologies

    Your role in the team

    • You will work in a results-oriented manner on customer projects, internal products, and research projects in the field of industrial AI.
    • You will be responsible for the design and technical implementation of selected data science projects with varying team sizes.
    • From processing large amounts of data to developing and productively deploying machine learning models, you will support the data science team in as many areas as possible with advice and assistance.
    • As an expert in tabular or time series data, you will collaborate with data and software engineers to provide scalable solutions.
    • You will provide comprehensive support to the data science team, from data processing and feature engineering to the development and productive deployment of machine learning models and large language models.
    • You will optimize existing machine learning models using advanced methods (data augmentation, data sampling, feature engineering, ensembling) while continuously evaluating the target metrics.
    • Your rhetoric and ability to visualize data will help you communicate methods and results to customers and other stakeholders in an understandable way.
    • Your high standards in writing and testing structured and high-performance Python code will serve as a model for your colleagues.
    • Your approaches to problem solving will push the boundaries of the current state of the art.

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    Our expectations of you

    Qualifications

    • BSc/MSc/PhD in a technical field, e.g., machine learning, data science, software engineering, physics, or mathematics.
    • Analytical mindset.
    • Structured and goal-oriented approach to work.
    • Advanced skills in a selection of: TensorFlow, Torch, Scikit-learn, Pandas, Kedro, OpenCV, Docker, Spark, SQL, Plotly, Matplotlib, etc.
    • Good English skills are a given for you and German would be a plus.

    Experience

    • At least 3 years of professional experience in data science, machine learning, or data engineering.
    • At least 3 years of Python experience.
    • Experience with code version control (Git).
    • Experience with the following would be a plus: LLM and agentic workflows, Computer vision, MLOps, Data annotation/curation and active learning, Mathematical optimizations.

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    Benefits

    Health, Fitness & Fun

    Food & Drink

    Work-Life-Integration

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    Job Locations

    Map of company locations
    • Location Vienna

      Schottenfeldgasse 20/6A

      1070 Wien

      Austria

    Topics that you deal with on the job

    This is your employer

    craftworks GmbH

    craftworks GmbH

    Wien

    At craftworks, we're a software and artificial intelligence company from Vienna that develops unique solutions in the areas of predictive maintenance/quality, big data, data analytics, and more. Our clients include some of the most well-known international industrial companies and automotive conglomerates.

    Description

  • Company Size
    1-49 Employees
  • Founding year
    2014
  • Language
    German, English
  • Company Type
    Digital Agency
  • Working Model
    Hybrid
  • Industry
    Internet, IT, Telecommunication
  • Dev Reviews

    by devworkplaces.com

    Total

    (6 Reviews)
    4.6
    • Workingconditions

      4.8
    • Engineering

      4.6
    • Culture

      4.6
    • Career Growth

      4.6
    All Dev Reviews on devworkplaces.com
    Logo craftworks GmbH

    Data Scientist

    Salary
    from 55.000 € Gross/Year
    Location
    Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders
    Easy Apply
    Easy Apply

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