Senior Data Scientist (f/m/d)
at AppLike GmbH
Hamburg, Hamburg, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Apr, 2025 | Not Specified | 30 Jan, 2025 | 5 year(s) or above | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
As a Senior Data Science you will join a team of highly committed analysts, data engineers and developers and form our data science team.
At justtrack, we build a SaaS business that provides app and game publishers an attractive toolset to handle their entire global marketing growth process. Starting from managing, analyzing, and automating marketing processes, justtrack enables gathering deep mobile product insights. As part of the Applike Group (financially backed by media powerhouse Bertelsmann), justtrack has access to industry experts and funding with a long-term growth mindset.
You will join our small but growing Data Science team where you will have access to state of the art technology and work closely with all business stakeholders to implement new approaches on how to leverage our data assets with new algorithms and ideas. Our team’s mission is to effortlessly gather, aggregate, and instantly provide all in-app event and marketing data to developers and marketers. Your exploratory data analysis will help us make the data speak by transforming recurring analyses into metrics and alerts.
Responsibilities:
- Drive the development of our data science tech stack by looking for innovative opportunities and steering the implementation by our development team
- Hand in hand with our developers you transform recurring analyses into metrics, charts, business related messages and the underlying data storage and pipelines
- You will work on ML models to notify our users about detected trends and statistical outliers in real-time
- You extract knowledge and actionable insights from noisy, structured and unstructured data
- You perform exploratory data analysis to determine correlations and trends
- You drill into data from various sources (Redshift, Spark, SQL, Athena, S3, Druid event streams, AWS data pipeline)
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Hamburg, Germany