Billie
Data Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Berlin
Neuer Job?Nejo!
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BIBillie
(Senior) Data Scientist(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- scikit-learn
- xgboost
- SQL
- Snowflake
- Postgres
- MySQL
- Tableau
- Docker
- Kubernetes
- Metaflow
- Apache Flink
Benefits
Flexibles Arbeiten
- Flexible work hours
- Hybrid work approach
Attraktive Vergütung
- Virtual Shares Incentive Program
Mehr Urlaubstage
- 30 days vacation
Workation & Sabbatical
- Sabbatical opportunities
Familienfreundlichkeit
- Extra child sickness leave
Öffi Tickets
- Discounted public transport access
Sonstige Zulagen
- Yearly development budget
Sonstige Vorteile
- Free German group classes
- Interest groups
Lockere Unternehmenskultur
- English-speaking multicultural team
Team Events & Ausflüge
- Company and team events
- Game nights
Gesundheits- & Fitnessangebote
- Billie run club
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Billie erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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BIBillie
(Senior) Data Scientist(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- scikit-learn
- xgboost
- SQL
- Snowflake
- Postgres
- MySQL
- Tableau
- Docker
- Kubernetes
- Metaflow
- Apache Flink
Benefits
Flexibles Arbeiten
- Flexible work hours
- Hybrid work approach
Attraktive Vergütung
- Virtual Shares Incentive Program
Mehr Urlaubstage
- 30 days vacation
Workation & Sabbatical
- Sabbatical opportunities
Familienfreundlichkeit
- Extra child sickness leave
Öffi Tickets
- Discounted public transport access
Sonstige Zulagen
- Yearly development budget
Sonstige Vorteile
- Free German group classes
- Interest groups
Lockere Unternehmenskultur
- English-speaking multicultural team
Team Events & Ausflüge
- Company and team events
- Game nights
Gesundheits- & Fitnessangebote
- Billie run club
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Billie erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Billie
Branche
FinancialServices
Beschreibung
The company is a leading provider of Buy Now, Pay Later payment methods for businesses, offering innovative digital payment services.
Noch nicht perfekt?
- Billie
Data Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - DKB AG
Senior Data Scientist - Lending & ML(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Grover
Sr. Data Science Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Diconium Germany GmbH
Senior Data Scientist(m/w/x)
Vollzeitmit HomeofficeManagementBerlin - PAIR Finance GmbH
Team Lead Data Science(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin