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

Do you want to use your passion and talent to make consumption more sustainable?

We're Europe's fastest-growing marketplace for refurbished products, empowering customers to acquire items up to 40% cheaper while making a substantial impact on reducing CO2 emissions compared to buying new devices.

Since our launch in February 2017, we grew to more than 300 employees and expanded across the European region. Throughout this journey, we've successfully concluded three substantial funding rounds, selling hundreds of thousands of products. Thanks to our team's efforts, we were recognized as the Top Employer in the DACH region (2023 and 2024) by Kununu and secured the title of an ACM Preferred Employer (2023).

As our new Senior Data Scientist - Pricing/Revenue Management, you will play a crucial role in transforming data into models that provide actionable insights and driving key decision-making processes. You will work on diverse projects, from data exploration and cleaning to building sophisticated machine learning models and visualising data insights. Your expertise will help us solve complex business problems and enhance our services.

• 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.

• 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.

• Decisions should be made based on facts and not by hierarchy levels? We sure think so!
• We embrace giving and receiving feedback, testing and welcoming new ideas, as well as sharing our knowledge across the company.
• You fail sometimes? Well, so do we! We’re all just human, let’s not cry about it but learn from our mistakes to improve in the future!
• No matter who you love, where you’re from, who you pray to, whether you pee sitting down or standing up – we are a bunch of talented people who enjoy spending our time making a difference!

• You can take unlimited number of trainings we are offering you through LinkedIn learning.
• Additionally, we are partnering with Likeminded, offering you private sessions with experts for your personal growth and mental health.

• We trust you to do the best job, so we don't care so much when you do it – you are able to self-organize.
• Work from home or in our modern and sustainable office in the heart of Vienna – we love dogs, so feel free to bring your furry little buddy too. And yes, there are free fruit, coffee & drinks in the office 😊

…and much more! See https://careers.refurbed.com/ for further insights!