Dein persönlicher KI-Karriere-Agent
Senior Data Scientist(m/w/x)
Building end-to-end data science solutions for online pharmacy operations. Machine learning in production experience required. Deutschland Ticket, mental health support.
Anforderungen
- Several years of hands-on experience as Data Scientist
- Machine learning or advanced analytical problems in production
- Strong foundation in statistics and machine learning
- Pragmatic application of statistics and machine learning
- Understanding of offline model evaluation
- Understanding of online experimentation
- Assessment of real-world impact
- Close collaboration with business
- Clear explanation of complex topics
- Communication with non-technical stakeholders
- Ownership and proactivity
- Comfort navigating ambiguity
- Curiosity and eagerness to learn
- Careful and conscientious work approach
- Value collaboration
- Open feedback exchange
- Enjoy helping others grow
Aufgaben
- Collaborate with product managers, engineers, and domain experts
- Translate business problems into data-driven solutions
- Design end-to-end data science solutions
- Build end-to-end data science solutions
- Operate end-to-end data science solutions
- Design end-to-end machine learning solutions
- Build end-to-end machine learning solutions
- Operate end-to-end machine learning solutions
- Work with complex, real-world datasets
- Address data quality challenges
- Address missing data challenges
- Address bias challenges
- Address changing data distributions
- Develop statistical models
- Evaluate statistical models
- Improve statistical models
- Develop machine-learning models
- Evaluate machine-learning models
- Improve machine-learning models
- Make trade-offs between model complexity and performance
- Make trade-offs between model complexity and scalability
- Make trade-offs between model complexity and maintainability
- Design A/B tests and experiments
- Analyze A/B tests and experiments
- Define hypotheses for experiments
- Select metrics for experiments
- Perform statistical evaluation of experiments
- Interpret experiment results
- Define robust evaluation frameworks
- Implement robust evaluation frameworks
- Establish appropriate baselines for evaluation
- Establish appropriate metrics for evaluation
- Establish appropriate validation strategies for evaluation
- Support bringing models into production
- Ensure production models are reliable
- Ensure production models are monitorable
- Ensure production models are maintainable
- Communicate results clearly
- Communicate assumptions clearly
- Communicate uncertainty clearly
- Share knowledge with the team
- Set best practices for the team
- Act as a technical sparring partner
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Benefits
Gesundheits- & Fitnessangebote
- Urban Sports Club membership
Mentale Gesundheitsförderung
- Mental health support
Flexibles Arbeiten
- Work from home flexibility
Öffi Tickets
- Deutschland Ticket
Weiterbildungsangebote
- Personal development support
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Senior MLOps Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorKöln
Senior Data Scientist(m/w/x)
Building end-to-end data science solutions for online pharmacy operations. Machine learning in production experience required. Deutschland Ticket, mental health support.
Anforderungen
- Several years of hands-on experience as Data Scientist
- Machine learning or advanced analytical problems in production
- Strong foundation in statistics and machine learning
- Pragmatic application of statistics and machine learning
- Understanding of offline model evaluation
- Understanding of online experimentation
- Assessment of real-world impact
- Close collaboration with business
- Clear explanation of complex topics
- Communication with non-technical stakeholders
- Ownership and proactivity
- Comfort navigating ambiguity
- Curiosity and eagerness to learn
- Careful and conscientious work approach
- Value collaboration
- Open feedback exchange
- Enjoy helping others grow
Aufgaben
- Collaborate with product managers, engineers, and domain experts
- Translate business problems into data-driven solutions
- Design end-to-end data science solutions
- Build end-to-end data science solutions
- Operate end-to-end data science solutions
- Design end-to-end machine learning solutions
- Build end-to-end machine learning solutions
- Operate end-to-end machine learning solutions
- Work with complex, real-world datasets
- Address data quality challenges
- Address missing data challenges
- Address bias challenges
- Address changing data distributions
- Develop statistical models
- Evaluate statistical models
- Improve statistical models
- Develop machine-learning models
- Evaluate machine-learning models
- Improve machine-learning models
- Make trade-offs between model complexity and performance
- Make trade-offs between model complexity and scalability
- Make trade-offs between model complexity and maintainability
- Design A/B tests and experiments
- Analyze A/B tests and experiments
- Define hypotheses for experiments
- Select metrics for experiments
- Perform statistical evaluation of experiments
- Interpret experiment results
- Define robust evaluation frameworks
- Implement robust evaluation frameworks
- Establish appropriate baselines for evaluation
- Establish appropriate metrics for evaluation
- Establish appropriate validation strategies for evaluation
- Support bringing models into production
- Ensure production models are reliable
- Ensure production models are monitorable
- Ensure production models are maintainable
- Communicate results clearly
- Communicate assumptions clearly
- Communicate uncertainty clearly
- Share knowledge with the team
- Set best practices for the team
- Act as a technical sparring partner
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Benefits
Gesundheits- & Fitnessangebote
- Urban Sports Club membership
Mentale Gesundheitsförderung
- Mental health support
Flexibles Arbeiten
- Work from home flexibility
Öffi Tickets
- Deutschland Ticket
Weiterbildungsangebote
- Personal development support
Über das Unternehmen
Redcare Pharmacy
Branche
Pharmaceuticals
Beschreibung
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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Senior Fullstack Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorKöln - REWE
(Senior) Data Scientist Analytics(m/w/x)
Vollzeitmit HomeofficeManagementKöln - Redcare Pharmacy
Senior Platform Engineer (DevEx)(m/w/x)
Vollzeitmit HomeofficeSeniorKöln - Redcare Pharmacy
Senior MLOps Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorKöln