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Full-time
28 Vacation Days Per Year, Birthday Day Off, One Volunteer Day Annually, Private Health Insurance, Coverflex Allowance, Daily Meal Allowance
Posted 22d ago
~40 hrs/week
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.
Requirements
Candidates need strong proficiency in Python, SQL, and Bayesian statistical modeling, specifically for causal inference. Experience with AWS cloud infrastructure and a solid understanding of performance marketing metrics like tROAS and tCPA are required.
Full job 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.
Related keywords
Bayesian Structural Time SeriesDifference-in-DifferencesInterrupted Time SeriesPyMCPandasNumPyScikit-learnMatplotlibPlotlyAWS AthenaAWS RedshiftAirflowtROAStCPAMarketing Mix ModelMMM
SIXT is a leading international provider of high-quality mobility services.
Industry
Travel Arrangements
Company size
5,001-10,000 employees
Founded
1912
Headquarters
Pullach, Bayern
LinkedIn followers
176,694
Sixt SE with its registered office in Pullach near Munich, is a leading international provider of high-quality mobility services. With its products SIXT rent, SIXT share, SIXT ride and SIXT+ the company offers a uniquely integrated premium mobility service across the fields of vehicle and commercial vehicle rental, car sharing, ride hailing and car subscriptions. The products can be booked, among others, through the SIXT App, which also contains the services of its renowned mobility partners. SIXT has a presence in more than 100 countries around the globe. The company offers its customers experiences that inspire and exceed their expectations – through a lived culture of innovation, a consistent premium offering in terms of fleet and service, and an attractive price-performance ratio.
In 2025, SIXT achieved consolidated earnings before taxes of EUR 400.5 million and a significant increase in consolidated revenue to EUR 4.28 billion.
Offices: Zugspitzstraße 1, Pullach, Bayern 82049, DE
car rentalvan / truck rentalmobility servicescar sharingride hailingmobilitycar subscriptionDigitizationAutovermietungNutzfahrzeugvermietung
How many Science & Research jobs are open in Lisbon, Portugal right now?
There are currently 114 open science & research positions in Lisbon, Portugal listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Lisbon, Portugal?
Companies currently hiring include IQVIA, AniCura Portugal, CTI Clinical Trial and Consulting Services, Anyone App, AstraZeneca, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Lisbon, Portugal?
Yes — 73 of the 114 open science & research positions offer remote or hybrid work (22 remote, 51 hybrid).
How do I apply for Science & Research jobs in Lisbon, Portugal?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.