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'Appstore by 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 **maximize Lifetime Value (LTV)** and **optimize marketing investments (ROAS)**. **What you will do?**: **1. Monetization Optimization (Revenue Ops)** - **Revenue analysis**: Deep understanding of purchase behavior and conversion funnels (Free Paid, IAP Subscription). - **Pricing & Packaging**: Recommend pricing strategies and monitor paywall performance. - **A/B Testing**: Analyze 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 Optimization** - **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 optimization**: 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 prioritize effectively in a fast-moving environment. **Why join Luni?**: - **Flexible Time Off & Work**: Unlimited vacation, 2 remote days/week and work remotely for up to 30 consecutive days abroad. - **Daily Comforts**: Daily meal vouchers and Friday brunches once a month. - **Financial Well-Being**: Company and retirement savings plans. - **Work-Life Balance with Benefiz**:€1,800 annual allowance for personal services, culture, sports, remote-work equipment, vacations, and more. - **Wellness Perks**: On-site gym in Bordeaux or Gymlib in Paris, plus a 100%-covered Benefiz health plan for you and your family. - **Family Support**: Dedicated nursery spots, extra paid parental leave, and customized family-friendly benefits. - **Continuous Growth**: Access to conferences, workshops, and training. - **Vibrant Culture**: Choose to work from Bordeaux, Paris, or remotely, and connect through team-building events and seminars. **Equal opportunity employer**: