Marketing Services

exmox GmbH

51-200

More paid time off than the statutory minimum.

Additional vacation days

The workplace is fully accessible for people with reduced mobility.

Barrier-free access

Funded training, courses and certifications to grow your skills.

Career Training

A laptop and the software you need, provided by the employer.

Company laptop

An employer-supported pension scheme to build up retirement savings.

Company pension plan

Adapt your start and end times around your life and workload.

Flexible working hours

Free coffee, tea, water and soft drinks at the office.

Free beverages

Free fruit, snacks and small refreshments at the office.

Free snacks

Work from home for part of your working week.

Home Office

A budget or equipment to set up a proper workspace at home.

Home Office Equipment

A covered or subsidised ticket for buses, trains and local transit.

Public transportation benefits

Financial and practical support if you move for this job.

Relocation package

Work fully remotely, from home or anywhere agreed.

Remote work

A subsidised gym or sports membership of your choice.

Sport membership

 Travel costs for your commute or work trips are reimbursed.

Travel expenses compensation

Community

Growth

Innovation

Ownership

Trust

Exmox is a Hamburg based performance marketing agency, connecting advertisers with their highest value users through our owned and operated apps. We created an innovative business model that focuses on rewarding users for testing and engaging with the apps of our clients.
We’re on a mission to scale our platform and provide the best user experience for our users and are looking for ambitious individuals who are eager to contribute to our growth.
Are you ready to make an impact? Become part of our growing team and help shape the future of performance marketing!
<h2>Tasks</h2>
→ You actively shape your position, we want you to get involved and contribute ideas!
Exploratory Data Analysis &amp; Insights
<ul>
<li>Conduct deep-dive exploratory data analysis (EDA) to identify trends, predict user behavior and optimize key performance metrics (e.g., retention, ROAS).</li>
</ul>
Machine Learning &amp; Predictive Analytics
<ul>
<li>Design, develop, and deploy advanced machine learning models for predictive analytics, recommendation systems and anomaly detection.</li>
<li>Optimize data-driven strategies through AI/ML applications.</li>
</ul>
Data Engineering &amp; Pipeline Development
<ul>
<li>Build and maintain scalable data pipelines for data ingestion, transformation and high-quality model inputs.</li>
</ul>
A/B Testing &amp; Experimentation
<ul>
<li>Design and execute rigorous A/B tests to validate hypotheses and assess the impact of new features.</li>
</ul>
AI/ML Integration &amp; Collaboration
<ul>
<li>Work closely with engineering and product teams to integrate AI/ML solutions into enterprise applications.</li>
<li>Ensure smooth deployment and scalability of machine learning models.</li>
</ul>
Data-Driven Leadership &amp; Best Practices
<ul>
<li>Act as a thought leader, promoting data-driven decision-making and implementing best practices across the company.</li>
</ul>
<h2>Requirements</h2>
Must-Have
<ul>
<li>Experience: 4+ years of hands-on experience applying data science methodologies in production environments.
</li>
<li>Technical Skills: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch) and SQL for data manipulation and model development.
</li>
<li>Experience with cloud-based platforms (Databricks) and big data technologies (Spark).
</li>
<li>Proven experience deploying machine learning models at scale.
</li>
<li>Communication &amp; Collaboration:
</li>
<li>Ability to explain complex mathematical and ML concepts to both technical and non-technical stakeholders.
</li>
<li>Strong problem-solving skills and a team player mindset.
</li>
<li>Comfortable mentoring others and advocating for software engineering best practices in data science.
</li>
</ul>
Nice to Have
<ul>
<li>Familiarity with advanced experimentation techniques (causal inference, A/B testing, media mix modeling).</li>
<li>Experience with deep learning and time series forecasting for business applications.</li>
<li>Hands-on experience with ML monitoring tools (e.g., MLflow).</li>
<li>Background in AdTech or marketing analytics.</li>
</ul>
💡 Even if you don’t meet every requirement, we encourage you to apply! We value diverse skills and perspectives and you may bring something unique to the team. 🚀
<h2>Benefits</h2>
<ul>
<li>Work Life Balance</li>
</ul>
We value rest and work life balance, we offer you 30 days of paid vacation days
<ul>
<li>Commuter Benefits</li>
</ul>
We provide you with public transportation tickets
<ul>
<li>Professional Development</li>
</ul>
We support you in deepening your skills and provide you an annual education budget of 1.500€
<ul>
<li>Workation</li>
</ul>
Combine Vacation with work: we offer annual workation opportunities
<ul>
<li>Gym membership - Wellpass</li>
</ul>
With Wellpass you can use more than 7000 Spas/ Gyms/ etc. in Germany
<ul>
<li>Catering</li>
</ul>
We offer monthly team lunches, daily fruits and vegetables and every beverage you could wish for
<ul>
<li>Flexibility</li>
</ul>
Benefit from flexible working hours and working from home
<ul>
<li>Diversity</li>
</ul>
We are an international team of talented people with different cultural backgrounds
<ul>
<li>Fun and Games</li>
</ul>
We have a big socializing area to make room for having relaxing activities within the working day
<ul>
<li>Desk Setup</li>
</ul>
Wherever you work, we will provide you with your workspace utensils
Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - Working from home on Monday and Friday.
We're just at the beginning of what's possible. We'd love to welcome you aboard our team.
This fits your ideas exactly or you're still unsure if it's the right fit? Feel free to contact us and together we will find out. :)

Senior Data Scientist (f/m/x)

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