Senior Data Scientist - LTV & Monetization

Scrambly; Sweden; On-site; SEK 900,000 - 1,400,000; Full time

Benefits offered by this job

Ownership of models

Impact on revenue

Close work with Head of Data

Competitive compensation

Bootstrapped, profitable growth

Job summary

Scrambly is seeking a Senior Data Scientist to own the models behind how we spend and earn money, forecasting what users are worth and how to acquire them while keeping the ecosystem free of abuse. You’ll model value end-to-end and work with engineers on data pipelines and deployment.

You will join a small, autonomous data team reporting to the Head of Data, with a clear path to impact and growth as the company expands rapidly.

Qualifications

• 4+ years as a data scientist with production models.
• Hands-on experience building user-level LTV/ROAS predictions.
• Adtech or mobile performance marketing background.
• Strong Python and SQL; BigQuery preferred.
• Rigorous evaluation with out-of-sample testing and discipline.
• Experience deploying models into production.

Responsibilities

• Value prediction: forecast user and cohort value across revenue streams.
• Pricing: model spend to acquire users within margins as systems learn.
• Segmentation and targeting: score users and inventory by value.
• Fraud and abuse: improve models while avoiding false positives.
• Evaluation: set metrics and monitor model performance post-launch.
• Collaboration: work with data engineers and commercial teams to operable outputs.

Skills

4+ years data scientist

LTV/ROAS prediction

Adtech / mobile marketing

Python

SQL

BigQuery

Model evaluation

Production models

Communication

Self-directed work

English proficiency

Tools

BigQuery

Job description

Scrambly is seeking a Senior Data Scientist to own the models behind how we spend and earn money, forecasting what users are worth and how to acquire them while keeping the ecosystem free of abuse. You’ll model value end-to-end and work with engineers on data pipelines and deployment.

You will join a small, autonomous data team reporting to the Head of Data, with a clear path to impact and growth as the company expands rapidly.