Billie
Data Scientist(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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BIBillie
(Senior) Data Scientist(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Building ML models for fraud prevention in fintech. 3-5+ years in fraud prevention or risk modeling required. 30 days vacation, virtual shares incentive program.
Requirements
- 3-5+ years experience in data-driven, quantitative, or ML role
- Experience in fintech or high-transaction environment
- Direct experience in fraud prevention, risk modeling, or fintech environment
- Advanced proficiency in Python (pandas, scikit-learn, xgboost)
- Advanced proficiency in SQL (Snowflake, Postgres, or MySQL)
- Strong grasp of data visualization tools like Tableau
- Deep technical expertise in general classification models
- Deep technical expertise in anomaly detection algorithms
- Deep technical expertise in graph-based networks
- Hands-on experience productionizing ML services
- Strong understanding of modern MLOps concepts
- Experience with containerization (Docker/Kubernetes)
- Experience with event-driven architectures
- Proven ability to manage stakeholders
- Aligning technical roadmaps with business priorities
- Sharp problem-solving capabilities
- Ability to translate complex business challenges into technical requirements
- Strong communication skills
- Track record of using data to influence organizational strategy
- Track record of using data to drive cross-functional engagement
- Experience with ML orchestration frameworks
- Experience with MLOps tooling
Tasks
- Design and build machine learning solutions for fraud prevention
- Own the end-to-end modeling lifecycle
- Define analytical approaches
- Test hypotheses
- Deploy models to understand debtor behavior
- Deploy models to understand fraud trends
- Design and execute anti-fraud solutions
- Manage project priorities
- Deliver production-ready models
- Apply quantitative analysis to model debtor behavior
- Apply data mining to model debtor behavior
- Apply advanced ML to model debtor behavior
- Identify risk factors
- Optimize real-time decision engine logic
- Collaborate with cross-functional teams
- Improve decision engine logic
- Integrate new data sources
- Enhance system functionalities
- Deploy ML services
- Operationalize ML services
- Define infrastructure requirements
- Mentor junior team members
- Foster technical excellence
- Foster rigorous experimentation
- Foster best-in-class coding standards
- Maximize impact of technical findings
- Provide clear recommendations to stakeholders
Work Experience
- 3 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
- Hybrid work approach
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 access
Additional Allowances
- Yearly development budget
Other Benefits
- Free German group classes
- Interest groups
Informal Culture
- English-speaking multicultural team
Team Events
- Company and team events
- Game nights
Healthcare & Fitness
- Billie 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
Building ML models for fraud prevention in fintech. 3-5+ years in fraud prevention or risk modeling required. 30 days vacation, virtual shares incentive program.
Requirements
- 3-5+ years experience in data-driven, quantitative, or ML role
- Experience in fintech or high-transaction environment
- Direct experience in fraud prevention, risk modeling, or fintech environment
- Advanced proficiency in Python (pandas, scikit-learn, xgboost)
- Advanced proficiency in SQL (Snowflake, Postgres, or MySQL)
- Strong grasp of data visualization tools like Tableau
- Deep technical expertise in general classification models
- Deep technical expertise in anomaly detection algorithms
- Deep technical expertise in graph-based networks
- Hands-on experience productionizing ML services
- Strong understanding of modern MLOps concepts
- Experience with containerization (Docker/Kubernetes)
- Experience with event-driven architectures
- Proven ability to manage stakeholders
- Aligning technical roadmaps with business priorities
- Sharp problem-solving capabilities
- Ability to translate complex business challenges into technical requirements
- Strong communication skills
- Track record of using data to influence organizational strategy
- Track record of using data to drive cross-functional engagement
- Experience with ML orchestration frameworks
- Experience with MLOps tooling
Tasks
- Design and build machine learning solutions for fraud prevention
- Own the end-to-end modeling lifecycle
- Define analytical approaches
- Test hypotheses
- Deploy models to understand debtor behavior
- Deploy models to understand fraud trends
- Design and execute anti-fraud solutions
- Manage project priorities
- Deliver production-ready models
- Apply quantitative analysis to model debtor behavior
- Apply data mining to model debtor behavior
- Apply advanced ML to model debtor behavior
- Identify risk factors
- Optimize real-time decision engine logic
- Collaborate with cross-functional teams
- Improve decision engine logic
- Integrate new data sources
- Enhance system functionalities
- Deploy ML services
- Operationalize ML services
- Define infrastructure requirements
- Mentor junior team members
- Foster technical excellence
- Foster rigorous experimentation
- Foster best-in-class coding standards
- Maximize impact of technical findings
- Provide clear recommendations to stakeholders
Work Experience
- 3 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
- Hybrid work approach
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 access
Additional Allowances
- Yearly development budget
Other Benefits
- Free German group classes
- Interest groups
Informal Culture
- English-speaking multicultural team
Team Events
- Company and team events
- Game nights
Healthcare & Fitness
- Billie 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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