You are a highly driven, results-oriented, creative problem solver with a hands on approach to deliver business impact quickly.
You are excited by the opportunity to directly impact the daily experience and happiness of millions of people around the world by matching supply and demand.
You have a good understanding of machine learning techniques (classification, clustering) and have applied them to solve problems using machine learning libraries such as scikit-learn, scipy, etc.
You have a strong engineering background working with good knowledge of at least one programming language (Python, Java, etc) as well as engineering best practices.
Experience writing SQL queries and handling large amounts of data.
Experience bringing models in production.
Excellent written and oral communication skills.
Fluent in English.
Data Engineers wishing to make the transition to a more Data Science role are welcome to apply as well.
What you will be doing:
As an online classifieds platform, we aim to understand our users in order to help them in their customer journey. Part of this effort includes understanding the different buyer segments and their buying preferences.
Another important area we are aiming to further extend is identification of the effect of the different types of Value Added Services (VAS) that we offer to our clients (sellers in this case). This is particularly important in order to recommend the correct package for our professional sellers and for pricing it fairly.
On the seller side, we also aim to optimize our VAS offering by selecting appropriate times and channels of communication to our different seller segments.
Your responsibility will be to drive such projects globally from the data science side
Work on optimizing the models according to the requirements of the specific use case and collaborate with other team members to bring in production and scale machine learning solutions.
Measure the impact of your models on key metrics of the company.
Collaborate across the Data Science community to find technical solutions to complex business problems.
Work in an agile environment to deliver high quality software against aggressive schedules.
Nice to have:
Industry experience creating and productionizing machine learning algorithms at scale (e.g., production use of AWS Athena, AWS Sagemaker, AWS Spectrum, AWS Kinesis) or the GCP equivalent.
Experience setting monitoring (e.g., Grafana) and alert notifications (e.g., New Relic),etc.
Experience building large-scale batch and real-time data pipelines with open source data processing frameworks like Spark or Storm.
Experience with Tensorflow or MXNET.
Experience with platforms for programmatically authoring, scheduling and monitoring workflows (e.g. Apache Airflow).
What you get from us:
Competitive compensation and benefits
Contributing to the global OLX Group
Be member of a great team of data scientists that spans several hubs spread across the world. Learn from each other and become better every day
Work with an international team of top engineers learning from one another
Competitive salary and great benefits like free lunch.
At OLX Group we have a clear ambition – to empower millions of people across the globe by helping them connect and share their goods and services. This inspiring purpose has helped us build one of the world’s leading Internet companies. This combination of business and purpose attracts a certain type of person. If you’ve got an entrepreneurial drive and think you can use that drive to contribute to our purpose, then we’d love to empower you to be successful.