Senior Data Scientist (Recommendation Systems Expert) (f/m/d)
Job Summary
Job Description
13 skills required
Job Details
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: WAVE Data Science
Did you know that in-app ads are sold in a real-time auction before they get rendered in thousands of mobile apps? Dozens of ad networks compete for every single view, choosing their best ad and deciding what price to bid in just a couple hundred milliseconds. We at adjoe have developed our own ad network that takes part in this competition, fighting against giants like Google, Meta and TikTok to present its own ads. To stand a chance in this fierce competition, the WAVE Data Science team builds creative algorithms using technologies ranging from simple linear regression to advanced deep learning models. Everything we do is based on solid research about user behavior as well as publisher and advertiser analysis to build competitive bidding algorithms that balance the advertisers’ goals, the publishers’ expectations and of course the user experience. To make our inventions come to life we use state-of-the art technology and work closely with the product and business teams to shape the future of adjoe’s core business and technologies.
What You Will Do
- Dive into state-of-the-art algorithms and deep learning models to create recommendation systems, predict user behavior, and optimise user retention.
- Conduct research and hypothesis testing to come up with ideas that can improve our bidding algorithm.
- Drill into data from various sources to generate insights and discuss them with your colleagues.
- Transform recurring analyses into KPIs and Dashboard Views we can easily monitor.
- Act as an advocate for data-related topics in the company and become the go to person in your area of expertise.
Who You Are
- You have 4+ years of professional experience in the Data Science field working in adtech, e-commerce, social media or a similar industry.
- You have shown a great level of understanding of deep neural networks (libraries such as tensorflow and pytorch) and have experiences developing deep neural networks for recommendation systems.
- You have a strong knowledge of Python, R, Scala, Julia or similar typical programming languages for Data Science.
- You have experience drilling into large amounts of data coming from various sources – including AWS Athena, Kafka, Spark, Flink, S3, MySQL.
- You are able to dive deep into mathematical foundations and explain complex topics in a simple way.
- You are a strong team player and enjoy helping others.
- Plus: Experiences in deep cross networks and multi-task deep learning.
Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application!
We welcome applications from people who will contribute to the diversity of our company.
Similar Jobs
Luxoft
Italy, New York, United States (Remote)
• 2 Months ago
Extreme Network
North Carolina, United States (Remote)
• 4 Months ago
Get notifed when new similar jobs are uploaded
Similar Skill Jobs
Luxoft
Brazil, Indiana, United States (Remote)
• 3 Months ago
Passive Logic
Salt Lake City, Utah, United States (On-Site)
• 2 Months ago
Get notifed when new similar jobs are uploaded
Jobs in Hamburg, Hamburg, Germany
PlayStation Global
Berlin, Berlin, Germany (On-Site)
• 4 Months ago
Tesla
Berlin, Berlin, Germany (On-Site)
• 4 Days ago
Tesla
Brandenburg, Germany (On-Site)
• 1 Week ago
Tesla
Baden-Württemberg, Germany (On-Site)
• 1 Week ago
Get notifed when new similar jobs are uploaded
Data Analyst Jobs
PwC
Bengaluru, Karnataka, India (On-Site)
• 4 Months ago
PwC
Bengaluru, Karnataka, India (On-Site)
• 4 Months ago
SuperPlay
Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)
• 1 Month ago
Get notifed when new similar jobs are uploaded
