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

extra parental leave - work from anywhere - fully flexible

Remote:

Full Remote

Salary:

77 - 77K yearly

Experience:

Mid-level (2-5 years)

Work from:

Austria

Offer summary

Qualifications:

Master’s degree in relevant field., 5+ years of data science experience., 3-5 years in pricing/revenue management., Proficiency in Python and SQL..

Key responsabilities:

Implement new pricing model algorithms.
Conduct data analysis and build machine learning models.

refurbed Retail (Super / Hypermarket) Scaleup https://www.refurbed.com/

201 - 500 Employees

See all jobs

Job description

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.

WHAT YOU'LL DO:

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.

WHO YOU ARE:

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.

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!