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Data Science Manager(m/w/x)
Leading a data science team for a B2B BNPL provider, managing project priorities and strategic roadmap. Proven experience leading data scientists and deploying ML services with deep MLOps understanding required. Virtual Shares Incentive Program, 30 days vacation.
Requirements
- 6+ years experience in data-driven, quantitative, or ML role
- Proven experience managing, mentoring, or leading Data Scientists/analysts
- Proficiency in Python, SQL, and data visualization tools
- Proven experience with classification models, anomaly detection, graph networks
- Proven experience deploying/productionizing ML services, deep MLOps understanding
- Expertise managing technical and non-technical stakeholders
- Strong problem-solving, business understanding, and translation skills
- Excellent communication and data storytelling skills
- Experience with ML orchestration frameworks/MLOps tools
Tasks
- Lead a dedicated data science team
- Mentor data scientists
- Guide professional development of data scientists
- Manage data science project priorities
- Define the strategic roadmap
- Define the analytical approach
- Approve hypotheses for experimentation
- Oversee analysis of debtor patterns and fraud trends
- Execute robust ML solutions for fraud prevention
- Ensure delivery of high-quality anti-fraud solutions
- Model debtor behavioral patterns
- Identify risk factors
- Optimize real-time decision engine logic
- Collaborate with cross-functional teams
- Improve decision engine logic
- Introduce new data sources
- Enhance decision engine functionalities
- Ensure successful deployment of ML services
- Ensure operationalization of ML services
- Collaborate with Engineering on ML infrastructure requirements
- Maximize impact of findings on business decisions
- Communicate findings through data storytelling
- Provide clear, actionable recommendations
Work Experience
- 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- xgboost
- SQL
- MySQL
- Postgres
- Snowflake
- Tableau
- Metaflow
- Apache Flink
Benefits
Flexible Working
- Flexible work hours
- Hybrid working approach
- Work from home (up to 3 days/week)
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
Other Benefits
- JobRad
- Free German group classes
Additional Allowances
- Yearly development budget
Team Events
- Company and team events
- Game nights
Diverse Work
- Interest groups
Healthcare & Fitness
- Billie run club
Not a perfect match?
- GroverFull-timeWith HomeofficeSeniorBerlin
- Billie
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Data Science Manager(m/w/x)
Leading a data science team for a B2B BNPL provider, managing project priorities and strategic roadmap. Proven experience leading data scientists and deploying ML services with deep MLOps understanding required. Virtual Shares Incentive Program, 30 days vacation.
Requirements
- 6+ years experience in data-driven, quantitative, or ML role
- Proven experience managing, mentoring, or leading Data Scientists/analysts
- Proficiency in Python, SQL, and data visualization tools
- Proven experience with classification models, anomaly detection, graph networks
- Proven experience deploying/productionizing ML services, deep MLOps understanding
- Expertise managing technical and non-technical stakeholders
- Strong problem-solving, business understanding, and translation skills
- Excellent communication and data storytelling skills
- Experience with ML orchestration frameworks/MLOps tools
Tasks
- Lead a dedicated data science team
- Mentor data scientists
- Guide professional development of data scientists
- Manage data science project priorities
- Define the strategic roadmap
- Define the analytical approach
- Approve hypotheses for experimentation
- Oversee analysis of debtor patterns and fraud trends
- Execute robust ML solutions for fraud prevention
- Ensure delivery of high-quality anti-fraud solutions
- Model debtor behavioral patterns
- Identify risk factors
- Optimize real-time decision engine logic
- Collaborate with cross-functional teams
- Improve decision engine logic
- Introduce new data sources
- Enhance decision engine functionalities
- Ensure successful deployment of ML services
- Ensure operationalization of ML services
- Collaborate with Engineering on ML infrastructure requirements
- Maximize impact of findings on business decisions
- Communicate findings through data storytelling
- Provide clear, actionable recommendations
Work Experience
- 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- pandas
- scikit-learn
- xgboost
- SQL
- MySQL
- Postgres
- Snowflake
- Tableau
- Metaflow
- Apache Flink
Benefits
Flexible Working
- Flexible work hours
- Hybrid working approach
- Work from home (up to 3 days/week)
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
Other Benefits
- JobRad
- Free German group classes
Additional Allowances
- Yearly development budget
Team Events
- Company and team events
- Game nights
Diverse Work
- Interest groups
Healthcare & Fitness
- Billie run club
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?
- Grover
Sr. Data Science Manager(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Billie
Data Scientist(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - Billie
(Senior) Data Scientist(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin - PAIR Finance GmbH
Team Lead Data Science(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - AUTO1 Group
Team Lead Data Science(m/w/x)
Full-timeRemoteSeniorBerlin