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

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Requirements:

• You have a 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 together with several business functions to design our pricing strategy.
• Conduct data exploration, cleaning, transformation, and visualisation to uncover trends and patterns.
• Perform statistical analysis to support business decisions.
• Develop machine learning models for classification, clustering, forecasting, and recommendation systems.
• Present data insights efficiently and impactfully to stakeholders.
• Write high-quality code, participate in code reviews, and ensure best practices in coding standards.
• Help develop tools and strategies to optimise e-commerce revenue.
• Utilise tools such as Python, SQL, and shell scripts for data processing and analysis.
• Work with standard data science libraries and frameworks.
• Implement solutions on Google Cloud Platform.
• Productise models using REST APIs and Docker.