Senior Data Scientist

Summary

Join Refurbed, Europe's fastest-growing marketplace for refurbished products, as our new Senior Data Scientist - Pricing/Revenue Management. You will be instrumental in transforming data into actionable insights, driving key decision-making processes. This role involves diverse projects, from data exploration and model building to presenting insights to stakeholders. You will leverage your expertise in machine learning and data analysis to solve complex business problems and enhance our services. Refurbed offers a supportive and inclusive culture, emphasizing facts-based decisions, feedback, and continuous learning. We provide excellent benefits, including unlimited LinkedIn Learning training, personal growth sessions, internal workshops, and flexible remote work options.

Requirements

• 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
• Proficiency in English, both written and verbal
• 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

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

Preferred Qualifications

• Previous experience in e-commerce
• Previous experience working with product pricing and/or optimising revenue
• Experience with cloud computing, preferably Google Cloud
• Knowledge of model productisation techniques

Benefits

• Unlimited number of trainings through LinkedIn learning
• Private sessions with experts for personal growth and mental health through Likeminded partnership
• Internal workshops to develop skills and enhance collaboration
• Fully remote work setting
• Option to work from the Vienna office
• Self-organized work schedule
• Participation in office weeks with team-building events and workshops