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 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. Your expertise will help us solve complex business problems and enhance our services.

What you'll do:

• Work on improving our pricing models & algorithms, as well as develop new tools to optimise our e-commerce revenue
• 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
• Present data insights efficiently and impactfully to stakeholders
• Write high-quality code, participate in code reviews, and ensure best practices in coding standards
• 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 cloud platforms, preferably Google Cloud
• Productise models using REST APIs and Docker

Who you are:

• You have a Master’s degree in Natural Sciences, Mathematics, Data Science, Computer Science, or a related field
• Proficiency in English, both written and verbal
• 1-2 years of relevant data science experience, previous experience in e-commerce is a plus
• Strong communication and collaboration skills, with the ability to work cross-functionally with product, engineering, and business teams
• Skilled in statistical analysis and have hands-on experience with the standard data science stack (e.g., pandas, scikit-learn, PyTorch, Jupyter, matplotlib)
• Familiar with best practices in coding, including the use of Git, code reviews, linting, and testing
• Good coding skills in Python and SQL, with experience in BigQuery and PostgreSQL is a plus

WHY YOU WILL ENJOY WORKING WITH US:

Our Culture and Values:

• 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 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!

Personal & Professional Development:

• You can take unlimited number of trainings we are offering you through LinkedIn learning.
• We partner with Likeminded, offering you private sessions with experts for your personal growth and mental health.
• We frequently host internal workshops, allowing our teams to further develop their skills in different areas and enhancing collaboration across departments.

Flexibility:

• We care about a healthy work/life balance. We not only function and support a fully remote setting but also offer the possibility to work from our beautiful office in the vibrant heart of Vienna – we love dogs, so feel free to bring your furry little buddy too 😊
• 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.
• You will also be invited to take part in our office weeks, happening three times a year, where you will have the chance to work side by side with your colleagues and enjoy the team-building events and on-site workshops

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