Senior Applied Scientist (all genders)

Zalando
Anywhere
Full timeFunction: Research & Scientific (R&D)Skills: ["Communication","Collaboration","Problem-solving","Critical thinking","Cross-functional teamwork"]

Senior Applied Scientist to develop and productionize risk models and causal inference predictors for Zalando Payments, balancing fraud blocking with good customer experience. Work across ML lifecycle from data exploration to deployment and monitoring, building scalable pipelines for real-time risk scoring and collaborating with operations and internal tool teams to drive measurable business impact.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Zalando
Zalando
3 months ago

Senior Applied Scientist (all genders)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Senior Applied Scientist to develop and productionize risk models and causal inference predictors for Zalando Payments, balancing fraud blocking with good customer experience. Work across ML lifecycle from data exploration to deployment and monitoring, building scalable pipelines for real-time risk scoring and collaborating with operations and internal tool teams to drive measurable business impact.
Location: Anywhere
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Develop and deploy risk models and causal inference predictors for Zalando Payments.
  • •Lead the full ML lifecycle from data Deep Dives to model creation, deployment and monitoring.
  • •Build and maintain scalable ML pipelines for real-time risk scoring and fraud detection.
  • •Collaborate with operations and internal tool teams to translate research findings into production features and business outcomes.
  • •Analyze fraud patterns and data to continuously improve model performance and impact on the business.

Pay and Benefits

Perks:EquityPaid LeaveVolunteering DaysHealth InsuranceWellness StipendTraining PlatformDiscounts

Key Requirements

  • •Experience productionizing ML algorithms, including data collection, model development, deployment, and monitoring.
  • •Familiarity with payments, risk or fraud domain.
  • •Enjoy researching new ML methods to improve model performance.
  • •Interested in collaborating with different functional areas to drive business outcomes.
  • •Strong SQL skills and experience with experimentation (A/B testing) and analytics.
Experience:FintechPaymentsRiskFraud
Skills:CommunicationCollaborationProblem-solvingCritical thinkingCross-functional teamwork
Languages:English
Tech Stack:SQLPythonMachine learningProduction MLReal-time systemsData pipelinesCausal inference

Company Brief

Zalando
Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2008
WebsiteLinkedIn