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Data Scientist

Job

  • Level
    Senior
  • Location
    Vienna, Munich, Würzburg
  • Working Model
    Hybrid, Onsite
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 60.000 € gross/year

Job Summary

In this role, you will develop advanced machine learning models, implement predictive data analyses, and optimize data pipelines to support strategic marketing decisions.

Job Technologies

Your role in the team

  • Definition and management of data strategy initiatives in alignment with corporate objectives.
  • Development, validation, and implementation of advanced machine learning and statistical models.
  • Translation of complex data analyses into strategic business recommendations.
  • Integration of predictive models into scalable data products and operational processes.
  • Ensuring compliance with data governance, quality, and ethical standards.
  • Automation, operation, and continuous optimization of data pipelines and the development of robust data pipelines for data collection and processing.
  • Leadership in the development of innovative machine learning models and advanced analytical methods.
  • Conducting strategic analyses to support business decisions.
  • Mentoring and technical support for Junior and Professional Data Scientists.
  • Close collaboration with executives and stakeholders to align data-driven initiatives with the company's strategy.

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Our expectations of you

Qualifications

  • Strong analytical and conceptual skills as well as a high affinity for numbers.
  • Excellent knowledge of Python (e.g., for data preparation, analysis, and modeling).
  • Dedicated, independent, and results-oriented work approach, as well as a high sense of responsibility, teamwork skills, and reliability.
  • Ability to translate complex data analyses into impactful business recommendations.

Experience

  • At least 5 years of professional experience in Business Intelligence / Data Analytics (Marketing) or a comparable position.
  • Solid expertise in marketing analytics as well as ideally practical data science experience to develop data-driven decision-making foundations.
  • Extensive experience with Google BigQuery, or alternatively with comparable SQL database systems (preferably cloud-based).
  • Experience with Microsoft Power BI or comparable BI tools.
  • Experience in defining and leading data strategy initiatives as well as in the strategic alignment of data collection and processing with corporate objectives.
  • Experience in automation, operation, maintenance, and continuous optimization of data pipelines.
  • Experience in integrating predictive models into scalable data products and operational processes.

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What we offer

  • For the position of Data Scientist (Marketing) (m/f/d), you can expect an annual gross salary starting from €60,000, with a clear willingness to pay above this amount if you impress with your experience and expertise.

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Benefits

Work-Life-Integration

Health, Fitness & Fun

Food & Drink

Higher Take-Home Pay

Topics You Will Work On

Job Locations

  • Location Munich

    Bayern

    Germany

  • Location Vienna

    Austria

  • Location Würzburg

    Bayern

    Germany

About Your Employer

XXXLutz KG

XXXLutz KG

Wels, Wien

Since over 65 years, XXXLutz has been providing attractive and safe jobs with excellent earnings and career opportunities. More than 20,900 employees find interesting and exciting tasks in diverse areas of work.

Description

  • Company Size
    250+ Employees
  • Founding Year
    1945
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Trade

Employer reviews

by devworkplaces.com

Total

(2 Reviews)
3.7
  • Culture

    3.5
  • Career Growth

    4.1
  • Workingconditions

    3.8
  • Engineering

    3.5
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Logo XXXLutz KG

Data Scientist

Salary
from 60.000 € gross/yearEstimated net salary based on the gross salary in the job ad.from 41.102 € net/year
Location
Vienna, Munich, Würzburg
Working Model
Hybrid, Onsite
Diversity
Open for all genders

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