We are building a global identity resolution system for Internet marketing. We use our Machine Learning algorithm to analyze dozens of terabytes of data daily and predict device profiles for hundreds of millions of people.
We started out in 2015 in Berlin and Poznan. Then, we opened our office in Vilnius. Now we go to conquer the United States, and we want you to do it with us!
- Work on design and optimization of prediction algorithms
- Improve our capabilities in large-scale data mining, analysis, information retrieval, data visualization, ML and AI
- Assist in the development of predictive algorithms to solve complex business challenges and extract information from data sets
- Work on data acquisition and mashuping process
- Support Roq.ad customers with necessary data analysis and metrics calculation
- Work closely with Roq.ad’s engineering team on building and deploying a data analysis system for large data sets
What we expect from you
- Degree in Statistics, Applied Mathematics, Computer Science, Operations Research or equivalent
- Knowledge in using discrete math, linear algebra, probability and statistics to answer complex questions
- Experience with designing and developing Machine Learning algorithms
- Experience with Data Mining and Information Retrieval
- Experience with data visualization of large datasets, as well as data pipelines
- Experience with Big Data technologies, such as Hadoop (HDFS, Hive, HBase, MapReduce), Apache Spark, Spark Streaming, etc.
- Ability to rapidly learn new technologies
- Fluency in English
What we offer
Are you ready for Roq.ad? You will work in an exciting and challenging environment with a strong company culture based on fast growth and transparency. You will be solving problems that affect millions of our users using the best tools and technologies. You will learn a lot along the way while working with an extremely motivated and skilled team of our engineers. You can work from home or at our Poznan office. On top of that – we will pay you a competitive salary.
We are looking forward to receiving your application! Please send it to email@example.com