Data Scientist/ Econometrics & modelization - Data marketing team
Paris or Remote from France
Applications have closed
BlaBlaCar
BlaBlaCar met en relation des conducteurs qui voyagent avec des places libres avec des passagers recherchant un trajet sur le premier site européen de covoiturage.Your Mission
We are looking for a Data Scientist to join the Data Marketing squad at BlaBlaCar. The mission of this team is to measure and optimize our marketing activities through data products. As a Data Scientist, your role will be to improve the performance marketing measurement using econometrics and modelization techniques. You will also conduct a review of our algorithms that optimize the performance of our marketing campaigns using data analytics and support the prioritization of new algorithms.
You will be working with a team of 8 data specialists. We wish to share our knowledge within BlaBlaCar (internal demos) and sometimes externally: for example Ken & Nico presented at AI in retail and Ad London our Markov chains-based Multi-touch attribution model; & Hugo presented at The Product Crew webinar our marketing measurement strategy.
Your Responsibilities
- Deliver ad-hoc analysis with actionable insights, leveraging your best judgment to reconcile various measurement methods results
- Develop an internal Marketing Mix Model (MMM) to assess the performance of our marketing investments at a macro level
- Launch demographic and geographic AB tests to assess the causal impact of individual marketing channels at country level
- Optimize the performance of our marketing campaigns using your ML experience
- Maintain existing algorithms and be proactive to make them evolve
- Be an active member of the Data Science chapter, a community of ten data scientists gathering for collective projects and personal growth
Your Qualifications
- Master degree in Economics, Econometrics, Mathematics, Statistics, Operational Research, Machine Learning or Engineering
- Proficiency in SQL and Python
- Knowledge of Git
- You have excellent communication skills and enjoy sharing and learning from others
- You are organized, results-driven, and are able to prioritize in a changing environment
- Fluency in English
- Nice to have: experience in building Marketing Mix Modeling or more generally econometric modeling; past experience with marketing If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!
What we have to offer
- 🌎 An international environment with over 45+ nationalities
- ⚖️ A hybrid, flexible workplace with family-friendly policies
- 💡 Learning opportunities via access to training, mentorship, internal development programs, or our weekly team-all BlaBlaTalks and Tech & Product Demos
- 🤝 Team-building events like our weekly afterworks, breakfasts, our annual Coding Night or Impact Day
- 🌱 A product and a workplace with a strong commitment to sustainability
- 🧭 Shared BlaBlaPrinciples that are the foundation of our culture and everyday decisions To know more, check out our 100 reasons to join BlaBlaCar!
We offer benefits that have a positive impact on you and our society, just like our product!
- We are flexible - We adapt to your needs:
- 🏠Full remote possible within your country of employment
- 💵Home office financial support for equipment
- 🚗Relocation package & visa support We are impactful - We shape our future together:
- 📈Equity for all program
- 🌳Company events like the impact day & coding nights
- 💻Learning possibilities through trainings, mentoring, internal development programs, and events.
- 🚌Free carpooling and bus rides We care - We care about you and your needs:
- 👶1 month additional parental leave 100% paid
- 🌴25 vacation days per year & RTTs
- Of course we also cover the basics like transportation, healthcare, meal plan, etc.
BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Econometrics Economics Engineering Git Machine Learning Mathematics Python Research SQL Statistics
Perks/benefits: Career development Equity Flex hours Flex vacation Parental leave Relocation support Team events
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