Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)

Zalando
Anywhere
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Education: mastersSkills: ["Analytical","Collaboration","Reproducible research","Scientific hypothesis testing","Problem-solving"]

Develop machine learning models and algorithms for Zalando’s article-level algorithmic pricing platform, improving demand forecasting under large-scale, seasonal inventory conditions. Apply deep learning and gradient boosted trees to solve high-dimensional forecasting and forecasting methodologies, working with Data Scientists, Software Engineers, and Product Managers. Own ML operations including data analysis and production model deployment using Databricks, and contribute to hypothesis creation and testing with reproducible research practices.

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Zalando
Zalando
1 day ago

Senior Applied Scientist (Algorithmic Pricing) - Pricing, Traffic & Trading Tech (All Genders)

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Last checked: 16 hours agoStatus: Live

Job Summary

Develop machine learning models and algorithms for Zalando’s article-level algorithmic pricing platform, improving demand forecasting under large-scale, seasonal inventory conditions. Apply deep learning and gradient boosted trees to solve high-dimensional forecasting and forecasting methodologies, working with Data Scientists, Software Engineers, and Product Managers. Own ML operations including data analysis and production model deployment using Databricks, and contribute to hypothesis creation and testing with reproducible research practices.
Location: Anywhere
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Develop article-level (500k+) demand forecasting models powering the algorithmic pricing platform.
  • •Leverage deep learning (e.g., NLP, sequence modelling) to build solutions for high-dimensional forecasting problems.
  • •Drive ML operations across data analysis, monitoring, and model deployment in production environments using Databricks.
  • •Create and test hypotheses using scientific methods.
  • •Collaborate with Data Scientists, Software Engineers, and Product Managers to analyze and monitor the impact of algorithmic pricing models.

Pay and Benefits

Perks:Remote WorkRelocationEquityHealth InsurancePaid Volunteering

Key Requirements

  • •Master’s or PhD in Computer Science, Mathematics, Physics, Statistics, or a similar quantitative field.
  • •Strong mathematical and analytical background.
  • •Deep expertise in machine learning, including deep learning and gradient boosted trees, with production hands-on experience using PyTorch, TensorFlow, or LightGBM.
  • •Strong foundational knowledge in machine learning and forecasting methodologies, ideally for high-dimensional deep learning forecasting.
  • •Exceptional Python coding skills and ability to apply them to complex data science and engineering problems, with reproducible research practices (e.g., MLflow, Weights & Biases).
Education:Master's in Computer Science, Mathematics, Physics, Statistics, or other similar quantitative field
Skills:AnalyticalCollaborationReproducible researchScientific hypothesis testingProblem-solving
Tech Stack:PythonPyTorchTensorFlowLightGBMDatabricksNLPSequence ModellingMLflowWeights & BiasesGradient boosted treesDeep 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