Senior Data Scientist Causal Inference Measurement mfd
Senior Data Scientist Causal Inference Measurement mfd
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Job Description
Join our team of data science and causal inference experts to shape nextgeneration pricing strategies and measure the causal impact of our initiatives. We employ stateoftheart causal inference methods to understand and optimize pricing decisions for millions of customers. Our work not only drives efficient revenue management processes but also ensures that our strategies are grounded in robust scientificallyvalid findings.
YOUR ROLE AT SIXT
Revenue Management & Causal Measurement: Design develop and implement sophisticated measurement frameworks focusing on the causal impact of price optimization strategies.
Causal Inference Modeling: Apply advanced causal inference techniques to guide business decisions and strategy developments in revenue management.
Experiment Design & Analysis: Develop and refine experimental designs using techniques such as DifferenceinDifferences (DiD) Regression Discontinuity Design (RDD) synthetic control methods A/B tests and Double Machine Learning to measure effectiveness and inform policy decisions.
Algorithm & Tool Development: Build and maintain robust algorithms that integrate seamlessly with production systems ensuring accuracy and scalability in causal estimation.
CrossFunctional Collaboration: Work closely with product managers data engineers and software developers to deploy endtoend solutions that leverage causal insights to drive business decisions.
Thought Leadership: Stay current on the latest research in causal inference and measurement and provide mentorship and guidance to junior team members.
YOUR SKILLS MATTER
Industry Experience: 5 years in data science with a focus on causal inference experienced with highly sparse and volatile data and ideally within pricing and/or marketing domains.
Causal Inference Expertise: Proven track record implementing or optimizing frameworks to measure and validate the impact of revenue management systems and pricing strategies using causal inference techniques.
Technical and Analytical Skills: Strong background in statistical analysis and causal inference methods including but not limited to:
Double Machine Learning (Double ML): Familiarity with Double/Debiased ML methods that combine machine learning models to estimate causal effects.
Causal Graphs and Structural Causal Models: Proficiency in using Directed Acyclic Graphs (DAGs) for causal identification.
Propensity Score Matching and Weighting: Advanced application of propensity score techniques to estimate treatment effects.
Instrumental Variables (IV) and Synthetic Control Methods: Experience with IV and synthetic controls for causal impact estimation in observational settings.
DifferenceinDifferences (DiD) and Regression Discontinuity Design (RDD): Application of DiD and RDD in measuring causal effects over time.
WHAT WE OFFER
- Generous Time Off Enjoy 28 days of vacation an additional day off for your birthday and 1 volunteer day per year
- WorkLife Balance & Flexibility Benefit from a hybrid working model flexible working hours and no dress code
- Great Employee Benefits Access discounts on SIXT rent share ride and SIXT along with partner discounts
- Training & Development Participate in training programs external conferences and internal dev & tech talks designed for your personal growth and development
- Health & Wellbeing Private health insurance to support your wellbeing
- Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience
Additional Information :
About us:
We are a leading global mobility service provider with sales of 3.07 billion and around 9000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental) SIXT share (car sharing) SIXT ride (cab driver and chauffeur services) SIXT (car subscription) and gives our customers access to our fleet of 222000 vehicles the services of 1500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2098 rental stations. At SIXT a firstclass customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and longterm stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility Apply now!
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
