Billie
(Senior) Data Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Berlin
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BIBillie
Data Scientist(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Optimizing real-time BNPL decision engines with Python and SQL. Advanced ML model productionization expertise required. 30 days vacation, virtual shares incentive program.
Anforderungen
- 4+ years of experience in data-driven, quantitative, or ML role
- Python (pandas, scikit-learn, xgboost, PyTorch/TensorFlow) and SQL (Snowflake, BigQuery) proficiency
- Experience with data visualization tools like Tableau
- Expertise in applying and productionizing advanced ML models
- Ability to apply ML expertise across business domains
- Leading deployment and productionizing of ML services
- Deep understanding of modern MLOps concepts
- Experience with orchestration frameworks like Metaflow, Kubeflow, Airflow
- Hands-on experience with graph databases (Neo4j)
- Modeling, analyzing, and extracting features from interconnected data
- Strong business acumen
- Translate business problems into analytical requirements
- Excellent communication skills
- Data storytelling skills
- Maximizing impact of technical findings on decision-making
- Developing and deploying data science solutions in fraud/credit risk/fintech
Aufgaben
- Design, develop, and productionize ML solutions
- Apply quantitative analysis and data mining
- Model complex business patterns
- Identify risk factors
- Optimize real-time decision engine logic
- Define and execute analytics for complex problems
- Develop hypotheses for experimentation
- Design A/B tests
- Synthesize results into actionable insights
- Serve as a technical leader in cross-functional teams
- Enhance and optimize the decision engine
- Integrate new data sources
- Enhance decision engine functionalities
- Ensure successful deployment of ML services
- Collaborate with Engineering on service integration
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- scikit-learn
- xgboost
- PyTorch
- TensorFlow
- SQL
- Snowflake
- BigQuery
- Tableau
- Docker
- Kubernetes
- Metaflow
- Kubeflow
- Airflow
- Neo4j
Benefits
Flexibles Arbeiten
- Flexible work hours
- Hybrid working 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
Data Scientist(m/w/x)
Berlin
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Optimizing real-time BNPL decision engines with Python and SQL. Advanced ML model productionization expertise required. 30 days vacation, virtual shares incentive program.
Anforderungen
- 4+ years of experience in data-driven, quantitative, or ML role
- Python (pandas, scikit-learn, xgboost, PyTorch/TensorFlow) and SQL (Snowflake, BigQuery) proficiency
- Experience with data visualization tools like Tableau
- Expertise in applying and productionizing advanced ML models
- Ability to apply ML expertise across business domains
- Leading deployment and productionizing of ML services
- Deep understanding of modern MLOps concepts
- Experience with orchestration frameworks like Metaflow, Kubeflow, Airflow
- Hands-on experience with graph databases (Neo4j)
- Modeling, analyzing, and extracting features from interconnected data
- Strong business acumen
- Translate business problems into analytical requirements
- Excellent communication skills
- Data storytelling skills
- Maximizing impact of technical findings on decision-making
- Developing and deploying data science solutions in fraud/credit risk/fintech
Aufgaben
- Design, develop, and productionize ML solutions
- Apply quantitative analysis and data mining
- Model complex business patterns
- Identify risk factors
- Optimize real-time decision engine logic
- Define and execute analytics for complex problems
- Develop hypotheses for experimentation
- Design A/B tests
- Synthesize results into actionable insights
- Serve as a technical leader in cross-functional teams
- Enhance and optimize the decision engine
- Integrate new data sources
- Enhance decision engine functionalities
- Ensure successful deployment of ML services
- Collaborate with Engineering on service integration
Berufserfahrung
- 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- scikit-learn
- xgboost
- PyTorch
- TensorFlow
- SQL
- Snowflake
- BigQuery
- Tableau
- Docker
- Kubernetes
- Metaflow
- Kubeflow
- Airflow
- Neo4j
Benefits
Flexibles Arbeiten
- Flexible work hours
- Hybrid working 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
(Senior) Data Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Grover
Sr. Data Science Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - home24 SE
Data Scientist - Sales Forecasting & Pricing(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - PAIR Finance GmbH
Team Lead Data Science(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Diconium Germany GmbH
Senior Data Scientist(m/w/x)
Vollzeitmit HomeofficeManagementBerlin