About the opportunity
We are seeking a Senior Marketing Data Scientist to join our dynamic marketing analytics team.
This role offers a unique opportunity to shape our marketing strategies directly through advanced modeling and to significantly influence business growth by refining key marketing performance tools. In this pivotal role, you will primarily focus on enhancing our internal Marketing Mix Modeling (MMM) processes, as well as supporting the development and practical implementation of our Customer Lifetime Value (CLTV) model, particularly for integration with Google Offline Conversions.
In this role, you will:
- Lead the development and validation of our internal Marketing Mix Model, ensuring robust, actionable insights for marketing effectiveness and budget allocation.
- Collaborate with stakeholders across marketing, analytics, and technology teams to refine methodologies and model accuracy.
- Support on the development and validation of our Customer Lifetime Value (CLTV) modeling initiatives.
- Integrate and operationalize the CLTV model, testing and deploying it specifically within Google Offline Conversion tracking frameworks to optimize marketing spend.
- Communicate complex analytical insights clearly and effectively to both technical and non-technical stakeholders.
What you need to be successful:
Background:
- Advanced degree (Master's or Ph.D.) in Data Science, Statistics, Computer Science, Econometrics, Marketing Analytics, or a related quantitative discipline.
- Strong proficiency in statistical modeling and machine learning techniques (e.g., regression analysis, Bayesian methods, predictive modeling).
- 4+ years of proven experience in developing and developing end to end machine learning model in production
- Expert-level proficiency in Python, SQL, and familiarity with visualization tools
- Excellent communication and collaboration skills, with the ability to explain complex data-driven insights in a clear and actionable manner
- Experience in implementing Marketing Mix Models (MMM) is a nice to have
Skills:
- Proficiency in programming languages (Python, SQL).
- Strong statistical analysis and modeling capabilities.
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Effective communication and storytelling skills for complex data.
- Ability to collaborate across cross-functional teams and manage stakeholder relationships.
- Familiarity with data visualization tools (Metabase).
- Experience with cloud platform AWS
- Experience in Marketing Mix Modeling (MMM) and Customer Lifetime Value (CLTV) is nice to have.
What’s in it for you:
- Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
- Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
- As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
- Additional day of annual leave for each year of service.
- A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses.
- A relocation package with visa support for those who need it.
Who we are
N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.
We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.
We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.
Sounds good? Apply now for this position.
Equal Opportunities:
We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.
We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.
Visit our website to learn more about Diversity, Equity, & Inclusion at N26.