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Senior Data Scientist

solebox

Essen, North Rhine-Westphalia, Germany · Full Time

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Experience
5+ yrs
Salary
—
Openings
1
Posted
15 hours ago
Work mode
In office
Education
STEM degree
Resume
Required to apply

Where you'll work

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Job description

About the Company

We are a family-owned business operating across approximately 4,700 stores in 34 countries, generating over €8.7 billion in annual revenue. Recognized as one of Europe's leading online shoe retailers, we employ over 49,000 passionate associates worldwide. As a sustainably growing company, we have been able to provide our employees with stable employment for several decades.

Job Responsibilities

  • Develop end-to-end analytics products within interdisciplinary teams from concept and proof of concept to operational deployment.
  • Create forecasting models, optimization algorithms, and other data-driven products that support business decisions and manage their ongoing operation.
  • Conduct analyses using statistics, machine learning, and data visualization techniques and deliver actionable recommendations based on findings.
  • Maintain the production readiness of your models, including performance monitoring, error analysis, and continuous improvement.
  • Design data structures to support analytical products and participate in their technical implementation.
  • Collaborate closely with business and IT stakeholders to translate requirements into analytical solutions and present results clearly to various audiences.

Candidate Profile

  • Completed studies in a STEM field with at least 5 years of experience in data science or data analytics, preferably in retail or fashion sectors.
  • Strong expertise in statistics, time series forecasting, Python programming, and SQL query language.
  • Familiarity with software and machine learning engineering principles, including model development, testing, version control, continuous integration and delivery, deployment, and monitoring.
  • Experience working with modern data platforms such as Azure, Databricks, Airflow, and Power BI, as well as understanding of MLOps fundamentals.
  • Pragmatic approach to work, excellent communication skills, and quick adaptability to new topics and domains.
  • Fluent German language skills are mandatory; good command of English is expected.

Benefits

  • 30 days paid vacation
  • Flexible working hours
  • Option to work remotely on selected days
  • Discounted Germany public transport ticket (DeutschlandTicket)
  • Company pension plan
  • On-site childcare places
  • Access to company bistro
  • Employee discounts
  • Supplementary support fund
  • Training and seminar opportunities
  • Workplace health management programs
  • Corporate events

Additional Information

As a Senior Data Scientist within our Data & Analytics Unit, you will actively contribute to the development of data-driven products that influence strategic business decisions. Working closely with various departments, you will generate value on a modern cloud platform in domains such as omnichannel, marketing, CRM, pricing, purchasing, and logistics, using tools like Python, SQL, Databricks, MLflow, and Airflow to help improve our business performance and customer satisfaction.

Important note: Non-EU applicants must possess a valid work permit for Germany. Candidates without proper authorization and adequate German language skills might not be considered.

Level

Senior

Minimum education

Bachelor's Degree

Industry

Retail

Tools & software

Microsoft Power BI required Apache Airflow required Microsoft Azure required Databricks required

How they work

Communication Adaptability Decision Making

Languages

Servicenow Ericsson

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