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Senior Data Scientist - Pricing/Revenue Management (f/m/x) - remote

Posted 2024-08-19

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💎 Seniority level: Senior, 5+ years

🔍 Industry: Refurbished products

🏢 Company: refurbed

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: DockerPostgreSQLPythonSQLCloud ComputingGitMachine LearningPyTorchStrategyAlgorithmsData sciencePandas

Requirements:
  • Master’s degree in Natural Sciences, Mathematics, Data Science, Computer Science, or a related field.
  • 5+ years of relevant data science experience.
  • 3-5 years of experience with pricing/revenue management is a must.
  • Proficiency in English, both written and verbal.
  • Previous experience in e-commerce is a plus.
  • Previous experience working with product pricing and/or optimising revenue.
  • Proficiency in high-quality code practices including the use of Git, code reviews, linting, and testing.
  • Strong coding skills in Python and SQL, with experience in BigQuery and PostgreSQL.
  • Familiarity with shell scripting.
  • Proficient with the standard data science stack: scikit-learn, PyTorch, pandas, matplotlib, Jupyter, etc.
  • Experience with cloud computing, preferably Google Cloud.
  • Knowledge of model productisation techniques.
Responsibilities:
  • Implement new pricing models & algorithms.
  • Work with various business functions to design pricing strategy.
  • Conduct data exploration, cleaning, transformation, and visualisation.
  • Perform statistical analysis to support business decisions.
  • Develop machine learning models for classification, clustering, forecasting, and recommendation systems.
  • Present data insights efficiently to stakeholders.
  • Write high-quality code, participate in code reviews, and ensure best coding practices.
  • Help develop tools and strategies to optimise e-commerce revenue.
  • Utilize Python, SQL, and shell scripts for data processing and analysis.
  • Implement solutions on Google Cloud Platform.
  • Productise models using REST APIs and Docker.
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Related Jobs

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🧭 Full-Time

🔍 E-commerce

🏢 Company: refurbed

  • Master’s degree in Natural Sciences, Mathematics, Data Science, Computer Science, or a related field.
  • 5+ years of relevant data science experience.
  • 3-5 years of experience with pricing/revenue management.
  • Proficiency in English, both written and verbal.
  • Previous experience in e-commerce is a plus.
  • Strong coding skills in Python and SQL, with experience in BigQuery and PostgreSQL.
  • Familiarity with shell scripting.
  • Proficient with standard data science libraries: scikit-learn, PyTorch, pandas, matplotlib, Jupyter, etc.
  • Experience with cloud computing, preferably Google Cloud.
  • Knowledge of model productisation techniques.
  • Proficiency in high-quality code practices including Git, code reviews, linting, and testing.

  • Implement new pricing models & algorithms.
  • Work with business functions to design pricing strategy.
  • Conduct data exploration, cleaning, transformation, and visualisation.
  • Perform statistical analysis to support business decisions.
  • Develop machine learning models for classification, clustering, forecasting, and recommendation systems.
  • Present data insights efficiently to stakeholders.
  • Write high-quality code and participate in code reviews.
  • Develop tools and strategies to optimise e-commerce revenue.
  • Utilise Python, SQL, and shell scripts for data analysis.
  • Implement solutions on Google Cloud Platform.
  • Productise models using REST APIs and Docker.
Posted 2024-08-21
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