Data Scientist
Remote Poland, Poland
OLX – Data Science and Analytics /
Full-time /
Remote
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 are a diverse team that analyzes the status quo, improves buyer & seller interactions, optimizes the user experience, and monetizes 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 OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) 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 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.
We have offices in Poznan and Warsaw, but this role can be based anywhere in Poland.
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 help to 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 (less expected, yet a requirement)
- 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.
- Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers)
- Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers.
- Partner with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform.
- 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:
- You are based in Poland (mandatory)
- At least 2 to 3 years of professional experience as a Data Scientist
- 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 in the past 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
What we'll give you:
- Salary + annual bonus up to 15% of your annual gross salary.
- Intellectual Property tax deductible costs are applicable up to 70% of base salary.
- Training and conference budget + free access to O'Reilly, Udemy courses, and more.
- MyBenefit platform package with 300 points monthly credit, private medical care (PZU Zdrowie), Ask Henry services, and more.
- 100% remote work and the possibility to work from our offices in Poznan and Warsaw.
- MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable.
- Strengths-based personal career development.
- The opportunity to learn from each other and become better every day.
- We believe that the strength of the team is directly related to the well-being of each individual. These are not empty words but we do care for each other and help everyone grow. If you feel tired of feeling like a gear in soulless machinery come and join our team.
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.
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