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Data Scientist(m/w/x)
Customer segmentation and forecasting for Europe's No.1 e-pharmacy. Solid data science and commercial analytics experience required. Remote work up to 20 days/year in EU, 10% employee discount.
Requirements
- Solid experience in Data Science, Data Analytics, or Business Analytics
- Experience in commercial or e-commerce environment
- Confidence working with Python, R, SQL
- Experience with reporting and data pipelines
- Enjoyment of working closely with stakeholders
- Reliable, transparent communication partner
- Strong analytical mindset
- Ability to translate data into business impact
- Experience with CRM or marketing analytics
- Exposure to Azure/Databricks
- Background in psychology, biology, or related analytical field
- German language skills
Tasks
- Serve as contact point for CRM and marketing data
- Support stakeholder needs end-to-end
- Perform data and business analytics
- Conduct customer segmentation
- Develop forecasts
- Evaluate campaigns
- Build and maintain data pipelines
- Create and manage reporting structures
- Develop automated reports using R/Python/Excel
- Translate complex data into clear insights
- Provide actionable recommendations for commercial teams
- Ensure transparent stakeholder communication
- Collaborate closely with CRM and Commercial teams
- Contribute to future data infrastructure development
- Support the development of data tools (e.g., Azure/Databricks/dbt)
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- German – Basic
Tools & Technologies
- Python
- R
- SQL
- Azure
- Databricks
Benefits
Healthcare & Fitness
- Urban Sports Club membership
Mental Health Support
- Psychologist support
Flexible Working
- Remote work up to 20 days/year in EU
Learning & Development
- In- and external trainings
Corporate Discounts
- 10% employee discount on online store products
- 20% discount on nu3
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Data Scientist(m/w/x)
Customer segmentation and forecasting for Europe's No.1 e-pharmacy. Solid data science and commercial analytics experience required. Remote work up to 20 days/year in EU, 10% employee discount.
Requirements
- Solid experience in Data Science, Data Analytics, or Business Analytics
- Experience in commercial or e-commerce environment
- Confidence working with Python, R, SQL
- Experience with reporting and data pipelines
- Enjoyment of working closely with stakeholders
- Reliable, transparent communication partner
- Strong analytical mindset
- Ability to translate data into business impact
- Experience with CRM or marketing analytics
- Exposure to Azure/Databricks
- Background in psychology, biology, or related analytical field
- German language skills
Tasks
- Serve as contact point for CRM and marketing data
- Support stakeholder needs end-to-end
- Perform data and business analytics
- Conduct customer segmentation
- Develop forecasts
- Evaluate campaigns
- Build and maintain data pipelines
- Create and manage reporting structures
- Develop automated reports using R/Python/Excel
- Translate complex data into clear insights
- Provide actionable recommendations for commercial teams
- Ensure transparent stakeholder communication
- Collaborate closely with CRM and Commercial teams
- Contribute to future data infrastructure development
- Support the development of data tools (e.g., Azure/Databricks/dbt)
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- German – Basic
Tools & Technologies
- Python
- R
- SQL
- Azure
- Databricks
Benefits
Healthcare & Fitness
- Urban Sports Club membership
Mental Health Support
- Psychologist support
Flexible Working
- Remote work up to 20 days/year in EU
Learning & Development
- In- and external trainings
Corporate Discounts
- 10% employee discount on online store products
- 20% discount on nu3
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Redcare Pharmacy
Industry
Pharmaceuticals
Description
Redcare Pharmacy is Europe’s No.1 e-pharmacy, focused on creating a healthy, collaborative work environment and innovative healthcare solutions.
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