Senior Data Scientist - Marketing (m/f/d) at SIXT

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Bayesian Methods, Causal Inference, Python, SQL, AWS, Machine Learning, Marketing Mix Modeling, Experimental Design, Pandas, Scikit-learn, PyMC, Streamlit, Performance Marketing, Data-driven Attribution, Athena, Redshift

Industry

Travel Arrangements

Description

Company Description Job Description At SIXT, data is at the heart of every smart marketing decision. As part of our Marketing Analytics team, you will work at the intersection of advanced statistical modelling, causal inference, and performance marketing — helping us understand the true impact of our investments and steer budgets more effectively across channels. You will collaborate with marketing stakeholders and cross-functional partners to turn complex model outputs into clear, actionable insights. If you're passionate about using cutting-edge methods to solve real business problems, join Team Orange and apply now. YOUR ROLE AT SIXT You uncover the true incremental impact of marketing investments using experimental and quasi-experimental methods — including Difference-in-Differences, Interrupted Time Series, and Bayesian Structural Time Series — to establish causal evidence where traditional A/B tests are impractical or unavailable You develop and maintain proprietary response-curve and elasticity models to reduce reliance on platform-native estimates and support better budget allocation decisions across channels and campaign types You support the development and maintenance of a Marketing Mix Model (MMM), contributing to model specification, prior elicitation, and validation, and translating outputs into actionable budget allocation recommendations You help extend the team's bid-target steering framework beyond Google Search Ads to channels such as Display, Meta, and Bing Ads, adapting modelling approaches to each channel's measurement and data characteristics You explore and evaluate data-driven attribution approaches, using web behavioural data to understand the customer journey and benchmark against existing third-party attribution You present model findings clearly to marketing and cross-functional stakeholders, contributing to internal dashboards and Streamlit applications that operationalise your work YOUR SKILLS MATTER Statistical Modelling & Causal Inference You have a solid grounding in Bayesian methods, causal inference (e.g. DiD, Interrupted Time Series, BSTS), and quasi-experimental design; familiarity with PyMC or comparable probabilistic programming tools is a strong plus Python & Data Stack You are proficient in Python with hands-on experience using Pandas, NumPy, Scikit-learn, and visualisation libraries such as Matplotlib and Plotly, comfortable working in both notebooks and production codebases SQL & Cloud Infrastructure You bring strong SQL skills and practical experience querying large datasets in AWS environments, ideally using Athena or Redshift; familiarity with Airflow or similar orchestration tools is a plus Machine Learning You have a solid understanding of supervised and unsupervised ML techniques, model evaluation, and how to take a model from experimentation to a reliable, maintainable production output Online Marketing Knowledge You are familiar with paid search and/or display advertising — including how campaign structures work, what tROAS and tCPA mean in practice, and how performance marketing metrics connect to business outcomes Communication & Collaboration You can translate complex model outputs into clear, actionable narratives for marketing and business stakeholders; experience with Streamlit or a comparable dashboarding tool, as well as GenAI-assisted development approaches such as Spec-Driven Development, is a plus WHAT WE OFFER A Global Tech Hub in Lisbon Join a thriving international tech community and work alongside engineers, product experts, and business teams who turn ideas into real impact. Our hubs at Factory Lisboa in Beato and ARTs Lisboa in Parque das Nações are where great tech gets built Learning & Knowledge Exchange Level up through regular events with internal and external speakers. We value curiosity, continuous learning, and open exchange – across teams, disciplines, and borders Flexible Work Setup Two office days a week, flexible hours, and modern spaces built for both deep focus and team collaboration – work the way that brings out your best Time Off & Wellbeing Enjoy 28 vacation days per year, an additional day off on your birthday, one volunteer day annually, and private health insurance that also covers your spouse and children free of charge Practical Everyday Benefits Get a yearly Coverflex allowance and a daily meal allowance to make everyday life a little easier SIXT Perks Get exclusive rates on all SIXT services, with special discounts extended to your family and friends. Because great perks are even better when you can share them Additional Information About us: We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now! Department: TECH & Engineering Legal Entity: Sixt Research Development Services, Lda.

Responsibilities

The role focuses on uncovering the incremental impact of marketing investments using causal inference and experimental methods. You will develop response-curve models and maintain Marketing Mix Models to optimize budget allocation across various digital channels.