Billie
Data Science Manager(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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BIBillie
Data Scientist(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Productionizing ML models for real-time risk decision logic at a fintech provider of BNPL payment methods. Expertise in productionizing advanced ML models and MLOps orchestration frameworks required. Virtual Shares Incentive Program, 30 days vacation, and sabbatical opportunities.
Requirements
- 4+ years quantitative ML experience
- Proficiency in Python, SQL, and Tableau
- Expertise in productionizing advanced ML models
- Experience leading ML service deployment
- Experience with MLOps orchestration frameworks
- Hands-on experience with graph databases
- Strong business acumen
- Excellent communication and storytelling skills
- Experience in fintech or risk domains
Tasks
- Design and develop scalable machine learning solutions
- Productionize robust ML models across business domains
- Execute high-quality technical solutions from conception to production
- Model complex business patterns using quantitative analysis
- Identify risk factors and optimize real-time decision logic
- Define and execute analytics for cross-domain problems
- Develop hypotheses and design A/B tests
- Synthesize experimental results into actionable insights
- Lead cross-functional teams as a technical expert
- Integrate new data sources into the decision engine
- Collaborate with engineering to operationalize ML services
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- xgboost
- PyTorch
- TensorFlow
- SQL
- Snowflake
- BigQuery
- Tableau
- Docker
- Kubernetes
- Metaflow
- Kubeflow
- Airflow
- Neo4j
Benefits
Flexible Working
- Flexible work hours
- Hybrid working 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
- Discounted Deutschland-Ticket
Other Benefits
- JobRad
- Free German group classes
Additional Allowances
- Yearly development budget
Informal Culture
- Multicultural team
Team Events
- Company and team events
- Game nights
Diverse Work
- Interest groups
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
Data Scientist(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Productionizing ML models for real-time risk decision logic at a fintech provider of BNPL payment methods. Expertise in productionizing advanced ML models and MLOps orchestration frameworks required. Virtual Shares Incentive Program, 30 days vacation, and sabbatical opportunities.
Requirements
- 4+ years quantitative ML experience
- Proficiency in Python, SQL, and Tableau
- Expertise in productionizing advanced ML models
- Experience leading ML service deployment
- Experience with MLOps orchestration frameworks
- Hands-on experience with graph databases
- Strong business acumen
- Excellent communication and storytelling skills
- Experience in fintech or risk domains
Tasks
- Design and develop scalable machine learning solutions
- Productionize robust ML models across business domains
- Execute high-quality technical solutions from conception to production
- Model complex business patterns using quantitative analysis
- Identify risk factors and optimize real-time decision logic
- Define and execute analytics for cross-domain problems
- Develop hypotheses and design A/B tests
- Synthesize experimental results into actionable insights
- Lead cross-functional teams as a technical expert
- Integrate new data sources into the decision engine
- Collaborate with engineering to operationalize ML services
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- xgboost
- PyTorch
- TensorFlow
- SQL
- Snowflake
- BigQuery
- Tableau
- Docker
- Kubernetes
- Metaflow
- Kubeflow
- Airflow
- Neo4j
Benefits
Flexible Working
- Flexible work hours
- Hybrid working 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
- Discounted Deutschland-Ticket
Other Benefits
- JobRad
- Free German group classes
Additional Allowances
- Yearly development budget
Informal Culture
- Multicultural team
Team Events
- Company and team events
- Game nights
Diverse Work
- Interest groups
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
Data Science Manager(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Billie
(Senior) Data Scientist(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Diconium Germany GmbH
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeManagementBerlin - Grover
Sr. Data Science Manager(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - PAIR Finance GmbH
Team Lead Data Science(m/w/x)
Full-timeWith HomeofficeSeniorBerlin