Data Scientist

Who are we?

At Luni, we create B2C mobile apps that improve everyday lives, stand out through quality content, and explore new ways to experience products. As a top ten global app publisher with millions of users, our hits include Shorts, ⭐️ Astro Club and ️ Scanner. Most of our revenue comes from in-app subscriptions in the US.

Our culture

We value flexibility, collaboration, and ownership. Team members have the freedom to take initiative, share ideas, and challenge the status quo - all within a culture built on trust, attention to detail, and continuous learning.

Learn more about Luni in this French podcast: Adrien Miniatti - Créer en 3 ans un leader mondial autofinancé par l'Appstoreby Matthieu Stefani - "Generation Do it Yourself"

About the role

As a Data Scientist, you will play a central role in the company’s growth strategy. You will work at the intersection of Product, Marketing, and Finance to turn data into concrete growth levers. Your main mission will be to use data science to maximise Lifetime Value (LTV) and optimise marketing investments (ROAS).

What you will do?

1. Monetisation Optimisation (Revenue Ops)

• Revenue analysis: Deep understanding of purchase behaviour and conversion funnels (Free → Paid, IAP → Subscription).
• Pricing & Packaging: Recommend pricing strategies and monitor paywall performance.
• A/B Testing: Analyse tests on paywalls, ad placements, and onboarding flows.
• LTV & ROAS prediction: Build ML models to forecast LTV, ROAS, and determine the breakeven point.
• Churn prediction: Identify high-risk segments and suggest targeted retention actions.

2. User Acquisition Optimisation

• UA performance analysis: Assess campaign profitability across channels (Meta, Google, TikTok, etc.) based on ROAS and CPI.
• Attribution: Work with Appsflyer to refine attribution models and understand channel contribution.
• Traffic optimisation: Identify high-quality traffic sources and recommend budget allocation.

3. Data Culture & Tools

• Dashboards: Build and maintain automated dashboards (Metabase, Streamlit, Dash) to make teams autonomous with data.
• Data quality: Ensure reliable and consistent data collection.
• Market watch: Stay up to date with global mobile benchmarks and new data science methodologies.

Who you are?

Technical Skills

• Education: Master’s degree in Mathematics or a scientific/engineering field.
• Experience: 5+ years in Data Science.
• Programming: Expert-level mastery of Python .
• Statistics: Strong knowledge of inferential statistics and experimentation protocols (A/B testing).
• Databases: Advanced SQL (PostgreSQL). Experience with Apache Spark is a plus.
• Mobile Tools: Familiarity with mobile analytics (Amplitude ) and attribution tools (Appsflyer ) is a plus.

Soft Skills

• Business-centric: You think in terms of ROI.
• Pedagogy: Able to explain complex concepts to non-technical stakeholders.
• Rigor & Curiosity: You dig deep into data and always look for the “why.”
• Autonomy: You can prioritise effectively in a fast-moving environment.