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BIBillie

Data Science Manager(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
Data Science

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

  • EnglishBusiness 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
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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