OLX Group

OLX Group as the aspiring world leader of C2C trade is amongst the largest user-facing platforms in the world with 300M users monthly. OLX exists to bring together users to sell and buy (used) goods and services quickly and easily. Our mission is to create a better world by bringing people together for win-win exchanges. Sellers win. Buyers win. Communities win. Earth wins. And in the end, OLX wins.

OLX Group Berlin, Germany
25/05/2018
Full time
We're looking for a skilled, curious and passionate Sr. Data Scientist who wants to make a difference. The Data Science team at OLX is responsible for building algorithmic solutions to facilitate transactions between buyers and sellers. We are developing personalization technologies and optimization strategies that have a direct impact on OLX’s users as well as the company's bottom line. You will be expected to research state-of-the-art machine learning, in the areas of user segmentation, image metadata extraction (including multilabel classification and tagging with deep learning), semi-supervised learning, and more. You will apply these methods to core OLX product platforms deployed in the cloud that are affecting the user experience for millions of visitors per month. You will roll your solutions to production, analyze results offline and online, and measure site impact. What you will be doing: Traditionally Classifieds websites allow sellers to describe the objects they are posting with some category specific drop down options and a free text box. To enable a more frictionless posting process and to normalize and compare inventory globally OLX wants to automate as much as possible based on the image alone. Some features we would like to offer: When taking a picture of your used car the app will already predict brand, model, color, etc. The app will generate a meaningful title automatically and predict a reasonable price Another important area we are aiming to further extend is identification of users that should be targeted for communication. This includes models for predicting the customer lifecycle value, as well as deciding which users to target with promotion campaigns and at what point in time. Your responsibility will be to lead such projects globally from the data science side Work on optimizing as 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 and within the Relevance team to find technical solutions to complex design problems. Work in an agile environment to deliver high quality software against aggressive schedules. Who we’re looking for: 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 strong understanding of machine learning techniques and have applied them to solve optimization problems using machine learning libraries such as scikit-learn, scipy, etc. You have a strong engineering background working with at least one programming language (Python, Java) Experience with Tensorflow or MXNET for image classification Experience bringing models in production, including autoscaling, setting monitoring (e.g., Grafana) and alert notifications (e.g., New Relic), etc. Excellent written and oral communication skills Fluent in English. Nice to have: Experience with other deep learning frameworks such as Caffe, Torch, Keras, Theano Industry experience productionizing machine learning algorithms at scale (e.g., production use of AWS Athena, AWS Sagemaker, AWS Spectrum, AWS Kinesis) or the GCP equivalent. Experience building large-scale batch and real-time data pipelines with open source data processing frameworks like Scalding, Storm, Spark. 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 Work with an international team of top engineers learning from one another Competitive salary and great benefits Company Mobile phone Any tool you might need MacBook Pro, Notebook, PC Great office location around the corner from Berlin Hauptbahnhof What you need to know about us: We’re a global product and tech group. 17 brands. 40 countries. 4000 people. One mindset. Our mission is to make it easier for people to buy and sell almost anything, promoting prosperity in local communities. We are proud to be different, and we work differently too. We combine the spirit and agility of a start-up with the maturity that comes from being part of a 100 year-old company. We are curious, ambitious and allergic to corporate interference. We improvise, experiment and push each other further, embracing  uncertainty and driving change. If you want to join us, apply here. If you’d like to learn more about the OLX Group take a look here. And remember, we are an equal opportunities employer.
OLX Group Berlin, Germany
23/05/2018
Full time
We're looking for a skilled, curious and passionate Business Intelligence Analyst (f/m), Global BI team who wants to make a difference. OLX, the world’s largest online classifieds company, is looking for a Business Intelligence Analyst to join the Global BI team in Berlin. The successful candidate is a highly-driven and self-motivated business professional with outstanding analytical skills capable of organising large amounts of data and generate meaningful business insights. Reporting to the Head of Global BI, you will work in an agile, cross-functional team of data engineers, data visualisation experts and analytics specialists, to organise and leverage the vast amounts of data that OLX is collecting every day. As a  Business Intelligence Analyst   you will focus on providing insightful information to the business on a variety of topics from financial, marketing, sales, customer and country specific data sources. You will build reports and present them in a way that is easy to understand for both technical and non-technical colleagues. What you will be doing: Turn data  into valuable insights and reports for senior management all over the globe Build and own dashboards that visualize the performance against some 30-40 key performance indicators. You make them better, you nurture them and if they fail, you fix them Establish scalable, efficient, automated processes for large scale data analysis Independently identify new demands and improving current processes proactively Contribute in building and extending our global data warehouse and new dashboards to pull out data for global reporting and analysis Use our central data warehouse and data lake to generate actionable business insights that will improve our operations Who we’re looking for: Master’s degree in science or engineering from a leading university Strong analytical and quantitative skills Capability to think out-of-the-box, zoom out and see the bigger picture Minimum of 3 years experience in business intelligence area Have experience with data visualisation tools (preferably Tableau) Knowledge of SQL experience with Redshift Ideally worked in the online industry Excellent oral and written communication skills and an ability to influence others internally and external Result driven, proactive and determined What you get from us: Competitive compensation and benefits Contributing to the global OLX Group International team Work with an international team of top engineers learning from one another Competitive salary and great benefits Company mobile phone MacBook Pro, PC, or any type of computer you prefer Great office location around the corner from Berlin Hauptbahnhof What you need to know about us : We’re a global product and tech group. 17 brands. 40 countries. 4000 people. One mindset. Our mission is to make it easier for people to buy and sell almost anything, promoting prosperity in local communities. We are proud to be different, and we work differently too. We combine the spirit and agility of a start-up with the maturity that comes from being part of a 100 year-old company. We are curious, ambitious and allergic to corporate interference. We improvise, experiment and push each other further, embracing  uncertainty and driving change. If you want to join us, apply here. If you’d like to learn more about the OLX Group take a look here. And remember, we are an equal opportunities employer.
OLX Group Berlin, Germany
23/05/2018
Full time
We're looking for a skilled, curious and passionate Data Scientist - Machine Learning Engineer (f/m) who wants to make a difference. The Data Science team at OLX is responsible for building algorithmic solutions to facilitate transactions between buyers and sellers. We are developing personalization technologies and optimization strategies that have a direct impact on OLX’s users as well as the company's bottom line. You will be expected to research state-of-the-art machine learning, in the areas of user segmentation, image metadata extraction (including multilabel classification and tagging with deep learning), semi-supervised learning, and more. You will apply these methods to core OLX product platforms deployed in the cloud that are affecting the user experience for millions of visitors per month. You will roll your solutions to production, analyze results offline and online, and measure site impact. What you will be doing: Traditionally Classifieds websites allow sellers to describe the objects they are posting with some category specific drop down options and a free text box. To enable a more frictionless posting process and to normalize and compare inventory globally OLX wants to automate as much as possible based on the image alone, for example generating a title based on the picture. Another important area we are aiming to further extend is identification of users that should be targeted for communication. This includes models for predicting the customer lifecycle value, as well as deciding which users to target with promotion campaigns and at what point in time. Integral part of our mission is to offer high quality, safe and trustworthy content to our users. This of course requires effective and automated moderation of the content making it in the platform. Finally, offering a best-in-class navigation experience personalized to the needs of our users is a top priority. This includes personalized recommendations, as well as flexible and effective search.    Your responsibility will be to lead 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. Who we’re looking for: 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 and have applied them to solve business 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) as well as engineering best practices. Experience writing SQL queries and handling large amounts of data. Experience bringing models in production, including setting monitoring (e.g., Grafana) and alert notifications (e.g., New Relic), etc. Excellent written and oral communication skills. Fluent in English. Nice to have: Industry experience productionizing machine learning algorithms at scale (e.g., production use of AWS Athena, AWS Sagemaker, AWS Spectrum, AWS Kinesis) or the GCP equivalent. 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 Company Mobile phone Any tool you might need MacBook Pro, Notebook, PC Great office location around the corner from Berlin Hauptbahnhof What you need to know about us: We’re a global product and tech group. 17 brands. 40 countries. 4000 people. One mindset. Our mission is to make it easier for people to buy and sell almost anything, promoting prosperity in local communities. We are proud to be different, and we work differently too. We combine the spirit and agility of a start-up with the maturity that comes from being part of a 100 year-old company. We are curious, ambitious and allergic to corporate interference. We improvise, experiment and push each other further, embracing uncertainty and driving change.