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(Senior) Data Scientist (d/f/m)

Henkel AG & Co. KGaA

Düsseldorf

Hybrid

EUR 60.000 - 90.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

An established industry player is seeking a talented Data Scientist to solve complex business challenges through innovative data solutions. In this role, you will work within a dynamic team, leveraging your expertise in data science to deliver impactful insights. You'll collaborate closely with various departments, utilizing cutting-edge technologies to maximize the potential of data and analytics. This is a fantastic opportunity to grow your career in a supportive environment that values diversity and inclusion, offering flexible work arrangements and a comprehensive benefits package. Join us to make a meaningful impact in the world of data!

Leistungen

Flexible work arrangements
Health and wellness programs
Gender-neutral parental leave
Employee Share Plan
Comprehensive pension plan
Preventive health insurance
Mobility benefits

Qualifikationen

  • 2+ years of experience in data science or advanced analytics.
  • Strong technical skills in Python, R, SQL, and Azure.

Aufgaben

  • Solve complex business problems using data science tools.
  • Collaborate with Data Science Engineering team using agile methods.

Kenntnisse

Python
R
SQL
Spark
Azure
MLOps
Data Visualization
Machine Learning
Statistical Modeling
Deep Learning

Ausbildung

Master's degree in a quantitative field
PhD in a relevant field

Tools

Data Processing Frameworks
Version Control
Scrum/Kanban

Jobbeschreibung

What you'll do

  • Solve complex business problems using data science tools to find solutions for challenges involving both big and small data, delivering insights and value to the organization.
  • Be part of a data science team within our Data Science Center of Excellence, contributing your expertise and expanding your knowledge through collaboration.
  • Collaborate closely with our Data Science Engineering team using agile methods to deliver high-quality data products efficiently.
  • Participate actively in cross-functional projects aligned with our data & analytics strategy, exploring emerging technologies to maximize their potential.
  • Establish yourself as a Data Science ambassador across business units, focusing on creating high impact and value through data and analytics.

What makes you a good fit

  • Master’s degree in a quantitative field (e.g., physics, mathematics, bioinformatics, computer science, computational finance); PhD is a plus.
  • At least 2 years of relevant industry experience in data science or advanced analytics; experience in the chemical and consumer goods industry is advantageous.
  • Strong technical skills, including proficiency in scripting languages (Python, R), data processing frameworks (SQL, Spark), cloud infrastructure (Azure), and collaboration tools (version control, Scrum/Kanban, MLOps).
  • Extensive experience in data preparation, modeling, analysis, and visualization, with expertise in areas such as time-series analysis, machine learning, deep learning, statistical modeling, or optimization.
  • Strong business acumen with the ability to collaborate with non-technical teams, translating business needs into data science tasks and communicating results effectively through data storytelling and visualization.
  • Fluency in English required; German skills are a plus.

Some perks of joining Henkel

  • Flexible work arrangements, including hybrid and remote work options.
  • Opportunities for international growth and development.
  • Health and wellness programs, including preventive care.
  • Gender-neutral parental leave of at least 8 weeks.
  • Employee Share Plan with voluntary investment and company matching shares.
  • Comprehensive pension plan fully funded by Henkel.
  • Preventive health insurance and supplementary care insurance.
  • Mobility benefits like My Henkel Bike and Jobticket.

At Henkel, we embrace diversity and inclusion. We welcome applications from all backgrounds and are committed to providing accommodations during the interview process upon request.

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