What do we expect from you 

• 2  to 4 years experience as a data scientist


• Knowledge of database modeling and data warehousing principles 


• Knowledge of SQL, Spark/Pyspark


• Experience in data modeling on Big Query, Hive, Spark, Hadoop, Kafka ecosystem, stream processing to support the day-to-day work.


• Extensive experience with analytical and quantitative problem-solving.


• Experience with common analysis tools such as Jupiter, open source, or commercially available libraries.


• Expertise in machine learning algorithms focusing on regression, classifications, clustering, probability networks, association rules, deep neural networks, and reinforcement learning.


• Programming knowledge in at least one language such as Python, Scala in addition to SQL.


• Ability to excel with challenging tasks with a calm and positive attitude.

What will you work on 

• Collecting, organizing, analyzing, and interpreting all data and drawing insightful conclusions which enable us to work in a smarter way.


• Create visual interpretations from data and explain graphs and charts with insightful notes and summaries.


• Analyzing user data and assist product development in finding new innovative ways of presenting and making use of data.


• Support our management team in identifying, measuring, and following up on key metrics


• Providing regular, accurate, and comprehensive statistical reports.


• Providing objective insight and analysis to influence decision making.


• Ensuring quality of data and actively working on cleaning data to make sure of top notch relevance and accuracy.


• Actively keep up to date on external market and data research and work towards adding data points from external sources to our own data in order to create a value added analysis.
  

It would be great if you also have

• Experience from working with mobile applications and Ad tech is a great advantage.


• Knowledge of Spark, Scala


• ML operations