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BIBillie

Data Scientist(m/w/x)

Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Optimizing real-time BNPL decision engines with Python and SQL. Advanced ML model productionization expertise required. 30 days vacation, virtual shares incentive program.

Requirements

  • 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

Tasks

  • 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

Work Experience

  • 4 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness 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 access

Additional Allowances

  • Yearly development budget

Other Benefits

  • Free German group classes
  • Interest groups

Informal Culture

  • English-speaking multicultural team

Team Events

  • Company and team events
  • Game nights

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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