Remote | Data Scientist - Customer Success

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Data Science team at OLX Group is responsible for building algorithmic solutions to facilitate transactions between buyers and sellers. We are developing personalization technologies, customer safety and security solutions as well as optimization strategies that have a direct impact on OLX users as well as the company's bottom line.

You will be encouraged to apply state-of-the-art machine learning, in the areas of user segmentation, image metadata extraction (including multi-label classification and tagging with deep learning), recommender systems, algorithmic pricing, taxonomy construction and more. Applying these methods is expected to assist our team in making OLX customers successful. You will have an impact on nearly 200 million visitors per month by rolling your solutions to production, analyzing results offline and online, and measuring the impact.

We invite you to join a team which works across the entire EU region with the different OLX Group platforms. 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.

What you will be doing:

• Work on optimizing the models according to the requirements of the specific use case
• Bring machine learning models and algorithms to production together with engineers
• Innovate and test new algorithms continuously and rapidly with live traffic
• Design, execute and analyze experiments to prove that desired outcomes are being achieved, to validate hypotheses and to measure the impact against company objectives
• Master the online experimentation topic and educate others on it (for example A/B experimentation, etc)
• Take ownership of what you build end-to-end in a cross-functional team of software engineers, data scientists and product designers, that together design and run these experiments. 
• Find opportunities where data science will make an impact and drive corresponding projects globally and collaborate with the teams across our world-wide locations (in-office and remote) to overcome technical challenges.

Who are we looking for:

• At least 3 years of professional data science experience
• A strong software development background: good experience with Python and SQL, good understanding of best engineering practices to be able to write code that's ready for production
• Experience with at least one of the following machine learning frameworks: Scikit-Learn, TensorFlow, PyTorch, (or similar)
• Experience in designing and analyzing online experiments (e.g. A/B tests)
• Proficient in English with excellent written and oral communication skills, including technical audiences and top management

Nice to have:

• Experience with NLP
• Industry experience creating and productionizing machine learning algorithms at scale
• Experience using AWS for deploying machine learning solutions
• Experience with building batch and real-time data pipelines using tools like Spark and Airflow
• Exposure to other programming languages such as Kotlin, Java, Scala, etc
• Experience to production infrastructure and DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform)

What can we offer you:

• Competitive compensation and benefits
• Contributing to the global OLX Group
• A passionate and diverse team of data scientists spanning several tech hubs across the globe.
• The opportunity to learn from each other and become better every day
• Competitive salary and good benefits
• Company Mobile phone, laptop of your choice: Laptop MacBook Pro, Windows or Linux, Notebook, PC, any tool you might need
• Open selection of e-courses including Udemy, Coursera and specialist AWS training.