Data Science Lead (Playtime Supply Team) (f/m/d)
at adjoe GmbH
20095 Hamburg, Altstadt, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 17 Dec, 2024 | Not Specified | 21 Sep, 2024 | 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:
adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.
Meet Your Team: Playtime
Playtime is a time- and event-based ad unit that continuously rewards users with in-app currency – for the time they spend and events completed while playing mobile games. We connect advertisers to 200+ million Playtime users and serve 2bn requests per day at low latency. We ensure that all parties involved have a positive experience. Advertisers get more users for their apps. Monetizers earn revenue for users on their platforms. Users play fun games while simultaneously getting rewarded. Our data science team powers the engine that distributes our ads. They solve multiple tasks such as developing algorithms to provide the most relevant ads for users, predicting user interests and inclinations, and dynamically adjusting pricing based on these predictions.
How To Apply:
Incase you would like to apply to this job directly from the source, please click here
Responsibilities:
- Work closely with Supply & Demand Tech and Product teams to provide DS models which will simultaneously take into account and balance between advertisers’ & monetizers’ goals, as well as the end users’ experience.
- Build, maintain & develop new and existing models (classifications, recommendations, etc.).
- Be hands-on by working on data science tasks on your own (at least 50% of the working time).
- Grow and manage a data science team: hire new team members, organize routines in the team, set up guidelines (code style, documentation, best practices).
- Be a mentor and train data scientists in the team to make them better in analysis, programming, communication, and planning.
- Be the owner of critical data science documentation (experiments, implementation details) and act as an advocate for data-related topics in the company and become the go to person in your area of expertise.
- Contribute to the company’s strategic planning. Work on a long-term roadmap and quarterly OKRs.
- Analyze business data to identify opportunities for improvement, and then lead projects that help the company to grow substantially.
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
20095 Hamburg, Germany