Data Science Lead (Playtime Team) (f/m/d)

2 Days ago • 5 Years +

About the job

Summary_{By Outscal}

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.

What you will do:

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.

Who you are:

You have a tech degree (mathematics, physics, computer science, or similar). Alternatively 5 years of professional experience in data science.
You have 2+ years’ of experience of leading and/or mentoring people (hiring, doing regular 1-1s, creating career plans, doing pair programming, etc.).
You have a strong knowledge of Python, R, Scala, Julia or similar programming languages for Data Science.
You have the ability to understand business needs and build solutions that help the business & product.
You have experience developing deep learning models and have applied them already in a production environment with large amount of traffic (>1 million predictions per day)
You have excellent analytical skills and for every problem you see more than just one solution.
You have experience drilling into large amounts of data coming from various sources – including AWS Athena, Kafka, Spark, S3, MySQL.
You are able to dive deep into mathematical foundations and explain complex topics in a simple way.
You are an excellent communicator and collaborator. You can communicate clearly in written and spoken form. You can also tailor your communication to the specific needs of the audience, be it data scientists, developers, leads, or members of the business teams.
Plus: Tech & Infrastructure knowledge: Airflow, hosting models, deploying models, etc.
Plus: Experience in the AdTech industry.

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