Senior Data Scientist (f/m/d)

Description

Job Overview

• Role: Senior Data Scientist (f/m/d)
• Company: JustDice GmbH
• Location: Hamburg
• Employment Type: Full-Time
• Category / Department: Data Scientist
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: Data Scientist
• Listing Source: Arbeitnow

Job 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: Programmatic 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, going against industry giants to present our own ads.

In the competitive real-time bidding landscape, the Programmatic Data Science team operates at a rapid pace, developing cutting-edge algorithms, to create systems that outperform industry giants. Our approach is deeply rooted in rigorous research into user behavior, publisher and advertiser objectives, ensuring an optimal user experience. 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: design and implement 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.
• 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.
• Bridge Ideation and Production: Harden successful experiments into highly scalable solutions. You will take end-to-end ownership of your models within our modern ML stack (Python, Kubernetes on AWS, Airflow, MLFlow, Trino), balancing speed-to-market with robust engineering principles.
• Act as a Team Multiplier: Proactively share your specialized knowledge and engage in healthy architectural debates. You foster a collaborative environment where direct, constructive feedback pushes the entire team to excel.

Who You Are:

• You have 4+ years of professional experience in the Data Science field working in AdTech, mobile gaming, e-commerce or a similar industry.
• You have a track record of architecting and deploying machine learning solutions, with strong expertise in real-time large scale recommender systems and neural networks.
• You are completely comfortable navigating a sophisticated, distributed engineering environment that produces massive amounts of data. You write excellent Python and SQL, with hands-on experience integrating models into automated training and deployment pipelines.
• 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 highly pragmatic and solutions-oriented. You know how to balance the pursuit of technical excellence with the need for velocity, recognizing when an 80% solution is exactly what the business needs to make an immediate impact.
• You value clear, direct, and kind communication. You are a strong team player who enjoys helping others and engages in productive technical discussions.

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 skillset 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.

Our mission is to create an inspiring work environment for amazing people to achieve extraordinary things. Be part of it!

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.

Find Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume / Application screening by the recruiting team
2. Technical phone or video screening (30–45 min) covering fundamentals
3. Take-home coding assignment or technical assessment
4. Two to three rounds of technical interviews (algorithms, system design, or domain knowledge)
5. Behavioral / culture-fit interview with the hiring manager
6. Offer discussion and reference checks

Tip: Candidates are encouraged to review common data structures, algorithms, and system design concepts before the technical rounds.

About the Employer

JustDice GmbH is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Hamburg. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the Senior Data Scientist (f/m/d) position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Key skills relevant to this role include: Data Scientist. Ensure these are prominently featured on your resume and LinkedIn profile.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.