Senior Applied Scientist - Demand Forecast (all genders)

Zalando
Anywhere
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Experience: 3+ yearsEducation: phdSkills: ["Communication","Mentorship","Leadership","Curiosity","Self-starter"]

Build and improve Zalando’s industry-leading article demand forecasting engine within the Partner Tech Applied Science team. Own the scientific roadmap for the forecast domain and develop algorithms end-to-end—from opportunity discovery through production—iterating with new data sources and problem structures. Collaborate with product managers, engineers, and analysts, communicate results to technical and non-technical stakeholders, and develop model pipelines using Python, SQL, PySpark and ML frameworks while mentoring junior scientists.

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Zalando
Zalando
4 days ago

Senior Applied Scientist - Demand Forecast (all genders)

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Last checked: 12 hours agoStatus: Live

Job Summary

Build and improve Zalando’s industry-leading article demand forecasting engine within the Partner Tech Applied Science team. Own the scientific roadmap for the forecast domain and develop algorithms end-to-end—from opportunity discovery through production—iterating with new data sources and problem structures. Collaborate with product managers, engineers, and analysts, communicate results to technical and non-technical stakeholders, and develop model pipelines using Python, SQL, PySpark and ML frameworks while mentoring junior scientists.
Location: Anywhere
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Conceptualize, prototype, and productionize demand forecast solutions for complex problems.
  • •Co-own the scientific roadmap for the forecast domain and maximize forecast performance beyond simple metrics.
  • •Own the full development cycle of algorithms from opportunity discovery to production.
  • •Iteratively improve models and explore new data sources and ways of structuring forecasting problems.
  • •Build model pipelines and streamline analysis processes; communicate technical results to technical and non-technical stakeholders while mentoring junior scientists.

Pay and Benefits

Perks:HolidayVolunteeringEquityRelocationFamily ServicesHealth InsuranceTraining Platform

Key Requirements

  • •PhD in statistics, mathematics, physics, operations research, or a related quantitative discipline with strong theory in statistics, time series, and forecasting-oriented machine learning.
  • •At least 3 years of industry experience developing forecasting models using statistical and machine learning methods, with understanding of method tradeoffs.
  • •Excellent verbal and written communication skills with a curious, self-starter mindset; ability to unblock yourself and proactively request support.
  • •Deep proficiency in Python, SQL, and PySpark, with high coding standards and active participation in code reviews.
  • •(Preferred) Demonstrated leadership experience guiding less experienced colleagues.
Experience:3+ yearsForecastingMachine learningTime series
Education:PhD / Doctorate
Skills:CommunicationMentorshipLeadershipCuriositySelf-starter
Tech Stack:PythonRScalaSQLPyTorchTensorflowPySparkMachine learning

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