Alejandro Alvarez Pérez
Lead Data Scientist | Causal Inference and Experimentation
Big-picture thinker, always keeping the outcome top of mind. I am a creative and experienced problem-solver with data who is also a fun person to work with.
Experience
Lead Data Scientist — experimentation and causal inference
Apr 2023 - Present
  • Designed and led pricing experiments, increasing revenue and usage of transactional services.
  • Strengthened ties with global data leadership, delivering insights that influenced investment decisions in the German and Dutch markets.
  • Redesigned the product data science team’s objectives and planning, aligning them with broader company goals.
  • Led a large-scale marketplace insights project, collaborating across multiple product tribes to identify and resolve inefficiencies. Mentored senior data scientists in securing buy-in for their initiatives.
  • Promoted a culture of experimentation by organizing an internal experimentation conference.
Senior Data Scientist — experimentation and causal inference
Sep 2019 - Apr 2023
  • Cut data scientist-hours by 3h per experiment, and reduced experiment runtime by 20% as core dev and statistician for internal experimentation python package
  • Fostered research culture through upskilling R&D teams in structured opportunity finding in our internal Analytics University
  • Designed and delivered causal inference projects, steering prioritisation towards solving given user pain points
Data Scientist, Global — product insights
Nov 2018 - Sep 2019
  • Uncovered potential to verticalise categories, through advanced statistical modeling and simulation
  • Shaped global strategy to fight fraud, by identifying the impact of exposure to fraud on our products and business, using econometric methods for causal inference
Intern Data Scientist
May 2018 - Nov 2019
  • Quantitatively validating customer experience metrics; Customer Effort Score, Smile Metric. Ad-hoc analyses and deep-dives on user behaviour
Teaching Assistant at University of Utrecht
Sep 2017 - Dec 2017
Intern Research & Statistics Advisor at University of Amsterdam
Oct 2017 - Jan 2018
Skills
Organisational
Story telling with data, verbal and written communication, stakeholder management
Modelling, Experimentation & Causal Inference
DoubleML, Diff-in-Diff, IPSW, Regression Discontinuity Design, Interrupted time series, Synthetic Control, Regression
Machine Learning
XGboost, CatBoost, LightGBM, Random Forests, Unsupervised Learning
Programming
Python, R, SQL, Objected-Oriented Programming, Git, Spark, Google Cloud Platform, AWS
Languages
Trilingual in English, Dutch and Spanish | Advanced in French
Education
MSc, Behavioural Data Science
Aug 20017 - Jun 2018 | University of Amsterdam
BSc, Psychological Research Methods and Statistics
Jul 2014 - Dec 2017 | University of Amsterdam
Projects
Causal Inference Blog
Tech-blog on causal inference and online experimentation