WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade.
We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otomoto, Property24.
Join OLX and see how far you can go.
JOIN OLX DATA SCIENCE TEAM
We analyze the status quo, improve buyer & seller interactions, optimize the user experience, and monetize on the delivered customer value. For us revenue growth is the good fruit of our work and not the goal itself.
We invite you to join a team that works with our consumer platforms across the entire EU region. A team that breaks through walls and builds cross-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others.
In your day-to-day routine, you will have the opportunity to work on recommendation and search algorithms, develop supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation as well as NLP and LMM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, and have direct contact with internal customers. You will have the carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day to day business of our customers.
Are you interested in joining Data Science at OLX? Currently, there are a number of Data Science positions open in different areas of the OLX organization. Following your application, the initial match will be assessed and you will be invited to start your interview process. After completing the recruitment process successfully, you will be matched with a job opportunity in the OLX team that would complement your background and aspirations in the best possible way.
What you will do in Data Science at OLX:
- Your primary role will be to increase business value by finding opportunities where data science and machine learning can make an impact.
- You will maintain strong relationships with stakeholders. This means asking a lot of questions to business people, and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering to get things done in an elegant and timely manner.
- You will build models, tinker around them to make them work, test them, and eventually deploy them to production. You will see your stuff in action and you will be able to measure the true impact of your models.
- You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Bulgaria, Romania, Poland, Ukraine, Kazakhstan, and Uzbekistan.
- Most importantly you will have fun working with us :)
Who we’re looking for:
- Located in Portugal.
- Very strong analytical skills. Like really strong! So strong that truth and light are your two middle names.
- Solid background in statistics and modeling.
- Good knowledge of Python, which means having experience with at least one of the following: Scikit-Learn, TensorFlow, PyTorch, and Pandas.
- Good understanding of engineering best practices, that is: testing, CI/CD, monitoring, alerting, and containers.
- Hands-on experience with SQL.
- Ability to work with big data at scale: experience with columnar storage clusters.
- Proficient in English with excellent written and oral communication skills!
- Strong presentation skills.
- Able to work in diverse, multi-functional teams with people from different backgrounds.
Nice to have:
- Exposure to other programming languages such as Kotlin, Java, Scala, etc
- Experience bringing models into production and serving models at scale
- Experience using AWS for deploying machine learning solutions
- Experience with building data pipelines using tools like Spark and Airflow
- Understanding of A/B testing and experimentation
- Exposure to MLOps tools
Our benefits
- Salary + annual bonus up to 15% of your annual gross salary
- Work with and impact all OLX websites around the world
- Train and conference budget and free access to Udemy courses
- Health insurance and life insurance
- MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
- 100% remote work (and the possibility to work from our office in Lisboa)
Why join OLX?
At OLX, we invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training, and leadership behaviors a key focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world.
Diversity, Equity and Inclusion at OLX
At OLX, we are committed to creating a diverse, inclusive, and authentic workplace. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, religions, backgrounds, and experiences to apply.
If you are excited about this role, and your past experiences do not align perfectly with every criteria asked for in the job description, we would still like you to apply. You may be just the right candidate for this or other opportunities across the business, and we'd like to hear from you.
OLX (OLX consists of OLX Global B.V. and its affiliated companies) will handle your personal data with care and will process your personal data to assess your fit for the position you are applying for. You can give your consent (optional) to allow us to store your data for up to 12 months after the application process. So that in case you are not fit for the role at stake we can consider you for other suitable roles.
Please refer to our
Privacy Statement
to find out more about how your application data will be processed.
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