Key Facts

Remote From:

Europe

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

•
Forecasting
•
Collaboration
•
Communication
•
Proactivity
•
Curiosity

Roles & Responsibilities

PhD or Master’s degree in Natural Sciences, Mathematics, Data Science, Computer Science, or a related field.
At least 5 years of relevant data science experience, including in an e-commerce or marketplace environment.
Strong coding skills in Python and SQL; experience with BigQuery and PostgreSQL is a plus.
Proficiency in English (written and verbal) and ability to collaborate cross-functionally with product, engineering, and business teams.

Requirements:

Improve advanced models and develop tools to optimize our e-commerce revenue.
Conduct data exploration, cleaning, transformation, and visualization to uncover trends and patterns.
Develop machine learning models for classification, clustering, and forecasting.
Productize models using REST APIs and Docker, and deploy on cloud platforms (prefer Google Cloud).

Job description

Founded in 2017, refurbed is Europe’s fastest-growing marketplace for refurbished products, active in 12 European countries and having surpassed €2Bn in GMV — all while being profitable. With beautiful headquarters in Vienna, we operate as a remote-first company, and our 250+ employees enjoy up to two months of workation per year. We’ve also been recognised as a Top DACH Employer by Kununu for three consecutive years.

Our mission is to make sustainable consumption the easy choice by enabling customers to buy products up to 40% cheaper while significantly reducing CO₂ emissions.

If you thrive in an environment that values momentum, ownership, and impact, you’ll feel at home here. We’re a fast-paced, high-performance team that works hard and challenges itself everyday. To enable this high-performance every team member enjoys full autonomy over their location (we’re remote-first).

As our new Data Scientist you will play a crucial role in transforming data into models that provide actionable insights and drive 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 and customer problems and enhance our services.

WHO YOU ARE:

You have a Phd or Master’s degree in Natural Sciences, Mathematics, Data Science, Computer Science, or a related field.
Proficiency in English, both written and verbal.
At least 5 years of relevant data science experience, with previous experience in an e-commerce or marketplace environment.
Strong communication and collaboration skills, with the ability to work cross-functionally with product, engineering, and business teams
Good coding skills in Python and SQL. Experience in BigQuery and PostgreSQL is a plus
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.
Experience with computer vision frameworks and datasets such as OpenCV, PyTorch/TensorFlow, or torchvision.
Curious and proactive about exploring new AI developments, keeping up with the fast-moving landscape of generative models, agents, and ML tooling.

Location & eligibility: This role is open to Europe-based candidates only with a valid right to work.

WHAT YOU WILL DO:

Work on improving our advanced models & algorithms, as well as develop new tools to optimise our e-commerce revenue
Conduct data exploration, cleaning, transformation, and visualization 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
Experiment with emerging AI technologies, frameworks, and tools to identify opportunities for innovation and workflow optimization
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

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'll have access to a dedicated learning budget within your department to support your growth, whether it's courses, conferences, or other learning opportunities that matter to you.
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!

Ready to apply?

APPLY

Share ·