Data Scientist
refurbed
πRemote - Worldwide
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Job highlights
Summary
Join Europe's fastest-growing marketplace for refurbished products as our new Data Scientist - Pricing/Revenue Management. You will be instrumental in transforming data into actionable insights, driving key decision-making processes. Your responsibilities will encompass developing pricing models, conducting data analysis, building machine learning models, and presenting findings to stakeholders. This role requires a Master's degree in a relevant field, 1-2 years of data science experience, and proficiency in Python and SQL. We offer a flexible work environment, including remote options and a vibrant office in Vienna, along with numerous professional development opportunities and a focus on work-life balance.
Requirements
- You have a Masterβs 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
- 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
Responsibilities
- 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
Preferred Qualifications
- Previous experience in e-commerce
- Experience in BigQuery and PostgreSQL
Benefits
- 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
- 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 trust you to do the best job, so we don't care so much when you do it β 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
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