Billie
Data Science Manager(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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BIBillie
(Senior) Data Scientist(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Modeling debtor behavior for anti-fraud solutions in business BNPL payments. Direct fraud prevention or risk modeling experience highly preferred. Hybrid work with up to 3 days remote.
Requirements
- 3-5+ years experience in data-driven, quantitative, or ML role (ideally fintech or high-transaction environment)
- Direct experience in fraud prevention, risk modeling, or high-transaction fintech environment (highly preferred)
- Advanced Python (pandas, scikit-learn, xgboost) and SQL (Snowflake, Postgres, or MySQL) proficiency, strong grasp of Tableau
- Deep technical expertise in classification models (classical, deep learning), anomaly detection, graph-based networks
- Hands-on experience productionizing ML services, strong understanding of MLOps concepts (containerization, event-driven architectures)
- Proven ability to manage stakeholders, align technical roadmaps with business priorities
- Sharp problem-solving capabilities, translating business challenges to technical requirements
- Strong communication skills, using data to influence strategy
- Experience with ML orchestration frameworks (Metaflow, Apache Flink, or similar MLOps tooling)
Tasks
- Design high-impact anti-fraud solutions.
- Execute high-impact anti-fraud solutions.
- Own project priorities.
- Deliver high-quality, production-ready models.
- Model debtor behavioral patterns.
- Identify risk factors.
- Optimize real-time decision engine logic.
- Collaborate with teams to improve decision logic.
- Collaborate with teams to integrate data sources.
- Collaborate with teams to enhance functionalities.
- Deploy and operationalize ML services.
- Define infrastructure requirements with Engineering.
- Specify containerization requirements.
- Specify event-driven architecture requirements.
- Mentor junior team members.
- Foster technical excellence.
- Promote rigorous experimentation.
- Promote best-in-class coding standards.
- Maximize impact of technical findings.
- Tell data stories effectively.
- Provide actionable recommendations to stakeholders.
Work Experience
- 3 - 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- xgboost
- SQL
- Snowflake
- Postgres
- MySQL
- Tableau
- Docker
- Kubernetes
- Metaflow
- Apache Flink
Benefits
Flexible Working
- Flexible work hours
- Work-life balance
- Hybrid working approach
- Work from home up to 3 days per week
Purpose-Driven Work
- Challenging and impactful work
Other Benefits
- Personal and professional growth
- Interest groups
Competitive Pay
- Virtual Shares Incentive Program
More Vacation Days
- 30 days vacation
Workation & Sabbatical
- Sabbatical opportunities
Family Support
- Extra child sickness leave
Public Transport Subsidies
- Discounted public transport
Additional Allowances
- Yearly development budget
Learning & Development
- Free German classes
Team Events
- Company and team events
- Game nights
Healthcare & Fitness
- Run club
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Billie and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BIBillie
(Senior) Data Scientist(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Modeling debtor behavior for anti-fraud solutions in business BNPL payments. Direct fraud prevention or risk modeling experience highly preferred. Hybrid work with up to 3 days remote.
Requirements
- 3-5+ years experience in data-driven, quantitative, or ML role (ideally fintech or high-transaction environment)
- Direct experience in fraud prevention, risk modeling, or high-transaction fintech environment (highly preferred)
- Advanced Python (pandas, scikit-learn, xgboost) and SQL (Snowflake, Postgres, or MySQL) proficiency, strong grasp of Tableau
- Deep technical expertise in classification models (classical, deep learning), anomaly detection, graph-based networks
- Hands-on experience productionizing ML services, strong understanding of MLOps concepts (containerization, event-driven architectures)
- Proven ability to manage stakeholders, align technical roadmaps with business priorities
- Sharp problem-solving capabilities, translating business challenges to technical requirements
- Strong communication skills, using data to influence strategy
- Experience with ML orchestration frameworks (Metaflow, Apache Flink, or similar MLOps tooling)
Tasks
- Design high-impact anti-fraud solutions.
- Execute high-impact anti-fraud solutions.
- Own project priorities.
- Deliver high-quality, production-ready models.
- Model debtor behavioral patterns.
- Identify risk factors.
- Optimize real-time decision engine logic.
- Collaborate with teams to improve decision logic.
- Collaborate with teams to integrate data sources.
- Collaborate with teams to enhance functionalities.
- Deploy and operationalize ML services.
- Define infrastructure requirements with Engineering.
- Specify containerization requirements.
- Specify event-driven architecture requirements.
- Mentor junior team members.
- Foster technical excellence.
- Promote rigorous experimentation.
- Promote best-in-class coding standards.
- Maximize impact of technical findings.
- Tell data stories effectively.
- Provide actionable recommendations to stakeholders.
Work Experience
- 3 - 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- xgboost
- SQL
- Snowflake
- Postgres
- MySQL
- Tableau
- Docker
- Kubernetes
- Metaflow
- Apache Flink
Benefits
Flexible Working
- Flexible work hours
- Work-life balance
- Hybrid working approach
- Work from home up to 3 days per week
Purpose-Driven Work
- Challenging and impactful work
Other Benefits
- Personal and professional growth
- Interest groups
Competitive Pay
- Virtual Shares Incentive Program
More Vacation Days
- 30 days vacation
Workation & Sabbatical
- Sabbatical opportunities
Family Support
- Extra child sickness leave
Public Transport Subsidies
- Discounted public transport
Additional Allowances
- Yearly development budget
Learning & Development
- Free German classes
Team Events
- Company and team events
- Game nights
Healthcare & Fitness
- Run club
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Billie and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Billie
Industry
FinancialServices
Description
The company is a leading provider of Buy Now, Pay Later payment methods for businesses, offering innovative digital payment services.
Not a perfect match?
- Billie
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