Senior Data Scientist – Causal Inference & Measurement (m/f/d)
Join our team of data science and causal inference experts to shape next-generation pricing strategies and measure the causal impact of our initiatives at SIXT Portugal.
Responsibilities include:
* Designing and implementing measurement frameworks for causal impact analysis of pricing strategies.
* Applying advanced causal inference techniques to inform business decisions.
* Developing experimental designs such as DiD, RDD, synthetic control methods, A/B testing, and Double Machine Learning.
* Building algorithms for causal estimation that are scalable and integrate with production systems.
* Collaborating with cross-functional teams to deploy solutions based on causal insights.
* Staying current with research in causal inference and mentoring junior team members.
Required Skills and Experience:
* 5+ years in data science with a focus on causal inference, ideally in pricing or marketing domains.
* Proven experience with frameworks for measuring and validating impacts using causal inference techniques.
* Strong statistical background, including expertise in Double ML, causal graphs, propensity score methods, IV, synthetic controls, DiD, and RDD.
What We Offer:
* Generous vacation, birthday, and volunteer days.
* Hybrid work model, flexible hours, and a relaxed dress code.
* Employee discounts and partner benefits.
* Training programs, conferences, and internal tech talks.
* Private health insurance and additional perks through Coverflex.
About SIXT: We are a global mobility provider with €3.07 billion in sales, 9,000 employees, and a comprehensive fleet and service platform operating in over 110 countries. Our focus is on customer experience, innovation, and stability.
Additional Details:
* Seniority level: Associate
* Employment type: Full-time
* Job function: Engineering and IT
* Industry: Automotive
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