The Role
As a Staff Data Scientist, you will lead the design and implementation of machine learning models, optimize bidding strategies, mentor the team, and advocate for software engineering best practices in the ad tech sector.
Summary Generated by Built In
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: adjoe Ads Data Science
Ads are everywhere in mobile games. What is annoying to some is a challenge to us. We have set out to re-define the mobile ad tech market by creating advertisement experiences that are engaging for end users while at the same time profitable for our publishers and advertisers.
The high-frequency nature of ad tech provides us with unique challenges to solve each day. Already now we are doing more than 10 billion predictions every day using state-of-the-art machine learning models (GDCN). And we are just getting started!
We firmly believe in self-built and self-hosted technologies backed by open-source tools and cloud providers to deliver rock-solid performance. Our team is equipped with all the necessary tools to test out new ideas offline quickly and launch A/B tests on production within minutes. And if we find that something is missing, we just build it ourselves. Our mobile SDKs not only render our ads, but they can also provide us with the necessary data to deeply understand our users’ behavior.
It is no question to us that Data Science is the heart and brain of a successful ad tech product. The adjoe Ads Data Science team manages the entire bidding algorithm from start to end, including the essential parts: conversion prediction, user quality estimation and bid shading. We give everyone the space to do what they do best, but at the same time we give them the freedom to explore new areas and learn new skills. We are a fast-moving team that rapidly translates theory into impactful solutions, using state-of-the-art technologies and collaborating closely with product and business stakeholders.
What You Will Do
- Architect and Refine Relevance Models: Take the lead in designing and implementing sophisticated targeting models that understand user preference within the dynamic ad tech ecosystem. Drive significant improvements in ad performance and user engagement through machine learning techniques.
- Explore Policy Optimization Strategies: Develop and optimize bidding policies using bayesian method, reinforcement learning and other advanced optimization algorithms. Continuously refine these policies to maximize business KPI and adapt to the ever-changing real-time bidding landscape.
- Share knowledge and be a mentor: Boost the entire team’s performance by sharing your knowledge and experience from the industry. Help your colleagues grow professionally by giving advice and mentoring them.
- Build and Deploy Meta-Learning Frameworks: Create and implement meta-models that learn from user interactions, enabling personalized ad experiences.
- Conduct rigorous A/B testing and experimentation: Validate your hypothesis and measure the impact of new features on key business metrics.
- Champion Software Engineering Best Practices: Advocate for best practices, robust software engineering principles, within and outside our data science community.
Who you are
- You have 7+ years of professional experience working with deep machine learning models in the ad tech industry.
- You have previously designed and implemented bidding or LTV prediction algorithms for ad tech (working on DSP or Ad Network, or App Publisher’s side; preferably performance advertising or gaming).
- You are comfortable navigating and extracting insights from massive datasets using tools like AWS Athena, Spark, or Ray, demonstrating fluency in distributed data processing.
- You possess a strong foundation in mathematical concepts and are skilled at translating complex algorithms into clear, concise explanations for both technical and non-technical audiences.
- You are a strong team player and enjoy helping others.
Fuel for the Journey: Benefits to Support Your Ambitions
- Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
- Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
- Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
- Thrive Where You Work: Enjoy the Alster Lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
- Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.
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.
Skills Required
- 7+ years of experience in deep machine learning models
- Designed and implemented bidding or LTV prediction algorithms
- Proficient in navigating and extracting insights from large datasets
- Strong foundation in mathematical concepts
- Team player who enjoys mentoring others
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The Company
What We Do
applike group is the leading company building in the app economy. Our technologies + businesses to cover the full value chain of the mobile apps market. Our companies work independently, but benefit from each others’ technologies and knowledge. We are 4 companies (JustDice, adjoe, Sunday, justtrack) under one roof of applike group. justDice: We build exciting app-discovery products for mobile gamers. With >50 million users we are the global market leader, while still growing rapidly every day adjoe: We build new technologies and ad formats that create a competitive edge for mobile app developers. Sunday: We create and publish extremely engaging and addictive mobile games with smart and player-friendly monetisation justtrack: One-stop software to automate your whole user acquisition process. This would be inconceivable without the 3 developer teams that form the core of applike group. We are 100 percent tech company where everybody is interested in computer science. We are always giving our best to get in touch with the newest technology in order to build the most relevant products. Our mission is to build software with the capability to distribute ads to every mobile device on earth.
