Data Scientist

# Data Scientist

At Peaks we're looking for a Data Scientist to join our team.

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?

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.

## What you will be doing

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 solutions 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.