Data Scientist
Do you thrive on analyzing marketing data to unlock valuable insights? Are you passionate about saving, investing, and driving customer engagement? Do you want to make an impact in a fast-growing international scale-up? If so, keep reading—Peaks might be your perfect match!
As a marketing data expert, you’ll optimize ad performance, build attribution models, ensure seamless data integration, refine customer segmentation, and enable impactful A/B testing. You'll play a key role in improving our marketing data architecture with a focus on cost efficiency, speed, and best engineering practices.
We’re Peaks, a fast growing, innovative Dutch fintech scale-up on a mission to help 1 million Europeans build wealth with investing and feel better about their financial future.
Since the launch of our app in November 2017 we have grown to one of the largest investment platforms in The Netherlands and Germany and serve more than 100.000 customers.
We serve these customers with a team of 40 very ambitious talents. To help Peaks fulfil its mission and growth ambitions, we are looking for a (Marketing) Data Scientist.
You will play a key role in driving our business growth by managing the end-to-end process of data ingestion, modeling, and publication. Your responsibilities will include designing and maintaining scalable data solutions, defining meaningful success metrics, and empowering non-technical team members with user-friendly, self-service analytics tools. You will have to identify and implement solution to optimize ad networks performance and boost conversion rates throughout the sales funnel.
Ad Performance Analysis: Create dashboards and reports to measure ad effectiveness, ROAS, CAC, CAC-payback period, CLV.
Marketing Attribution: Build models to track customer journeys across multiple channels (e.g., last-click, multi-touch attribution).
Data Integration: Ensure marketing platforms (Google Ads, Meta Ads, CRM, etc.) receive accurate and up-to-date data through ETL/ELT pipelines. You identify improvements and spot tracking issues on app and web across all our acquisition channels.
Customer Segmentation & Audiences: Transform raw data into structured customer profiles, enabling targeted campaigns and lookalike audiences.
Experimentation & A/B Testing: Provide clean datasets for measuring the impact of different marketing strategies.
Improving our architecture based on what brings the most impact to cost reduction and speed, applying software engineering best practices
At least 5 years of engineering experience with an analytical mindset
Solid understanding of architectures, design principles and engineering best practices
Experience across all stages of the data pipeline: ingestion, transformations, mart creation
In-depth technical knowledge of advertising technologies such as Appsflyer, Meta, Google & other
Experience with our tech stack is a bonus: S3/Redshift/MySQL/Python/Go/Rust
Knowledge of unit growth metrics
Live in The Netherlands (Peaks is located in the heart of Amsterdam)
A good salary complemented by the chance to share in our success through our employee stock ownership program
The opportunity to develop yourself quickly within an ambitious and results driven fintech scale-up
No bureaucratic hassle: a flatter than flat organization and no-nonsense culture;
An international environment with a great team of very talented people
An office in a prime location in the center of Amsterdam
Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!