As a Senior Data Scientist at Adjust you will be part of Company’s Data team and will source and analyze data from an incredibly rich dataset (from our various PostgreSQL databases, Flink pipelines, APIs, etc.). There’s around 1 Petabyte of unaggregated data crossing our servers, and in the role you will need to satisfy demand for research on this data coming from company-wide consumers such as marketing and PR, finance and sales, and others.
In detail it means that you will:
Broadly investigate specific pitches received from other teams
Independently perform research on data following a roadmap of research topics
Discover trends & patterns in compact datasets and/or visualizations enabling internal stakeholders (PR and others) to act
Design metrics and KPIs that allow us to abstract sensitive data into publishable KPIs and develop infrastructure to report on these KPIs
Implement statistical & machine learning techniques on a large scale to improve our monitoring, anti-fraud and analytics systems
Creatively visualize data for communicating across consumers in the company and externally
Create analytics scripts, KPI reporting toolchain etc.
To excel in this position you’ll have to have advanced programming skills with R and/or Python, experience with Scala or any other programming language and advanced experience with databases, particularly Postges. We believe that this experience equals to 3-5 years industry experience in the area of data science, machine learning or statistics. If you’re have business experience in the Mobile Industry you would be our hero!
We expect from you to orientate yourselves fast in large amounts of data, being able to present to-the-point your research findings and put them into an appealing visualization using for example tools such as e.g. shiny, knitr, pandoc, jupyter. Here’s a sample of the projects you will be using and might be working on developing: