19.10.2026 aktualisiert

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Senior Data Scientist

Bangkok, Thailand
Weltweit
Master in Business Intelligence / Bachelor in Statistics
Bangkok, Thailand
Weltweit
Master in Business Intelligence / Bachelor in Statistics

Profilanlagen

Joaquín_Amiel_Marcora_CV.pdf

Skills

Apache AirflowData AnalysisGoogle BigQueryETLPythonMicrosoft Power BISQLDatenanalytik
Senior Data Analyst with 10+ years across fintech, gaming and dating. At Down, I ran the data side of ~90 A/B tests, built trust amp; safety models (bad actors, underage users) that cut manual review from 6.5% to 4.5% of new accounts, and moved the company to dbt with daily data-quality alerts. Before that, automated reporting that saved 20+ hours/week and built attribution and customer-value models. Based in Bangkok (DTV visa), working remotely, Italian/EU citizen; tax resident in Czechia and invoicing from there.

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2026

Sprachen

EnglishverhandlungssicherSpanishMuttersprache

Projekthistorie

Senior Data Scientist

Down, Dating App

Internet und Informationstechnologie

10-50 Mitarbeiter

  • Led deep-dive analyses behind product and growth decisions: 53% of new VIP buyers end their first week without a two way conversation; a new woman comes back the next day after a first conversation, not a first match (68.4% vs 28.9%); matches go silent from friction, not the people (56.2%). The inbox changes I recommended shipped.
  • Ran a photo-attribute study on 77k men (Gemini-labelled photos): effort shots convert best (gym 11.6% vs 8.0% average). Findings set the ruleset for the Smart Photos experiments.
  • Built two trust and safety models: a bad-actor detector (scores accounts on their first 5 minutes; auto-bans right ≥85%) and an underage-user detector (83% of flags correct). Together they cut manual review from 6.5% to 4.5% of new accounts.
  • Led the move to dbt and retired the legacy Airflow jobs. Added a daily warehouse-vs-production reconciliation alert that catches tracking losses within a day, and cut the experiment dashboard’s cost 98.6% ($19.64 → $0.27 per load). Coordinated 2 part-time analysts and onboarded new hires.
  • Ran the data side of ~90 A/B tests, from launch checks to ship-or-stop recommendations. Built the experiment tooling and ran the review meetings.

Principal Online Marketing Specialist — User Acquisition Automation

Gen™, Antivirus Software Company

Internet und Informationstechnologie

1000-5000 Mitarbeiter

Automated weekly install forecasts and return-on-ad-spend (ROAS) reports using Python and BigQuery, combining Adobe Analytics, data.ai and internal databases; delivered in Power BI, saving 20+ hours/week.

Lead Data Analyst

Carma Project, Startup

Sonstiges

10-50 Mitarbeiter

Full-time until company bankruptcy in Apr 2023; continued as freelance consultant through Feb 2024.
  • Built and maintained automated data pipelines using GCP and Airflow, combining the company’s warehouse data with public geographic data.
  • Designed interactive dashboards and ran analyses to support the team’s decision-making.
  • Reduced client presentation prep time by over 80% through dashboard standardization and automated reporting.
  • Deployed an ML model on GCP predicting the number of cars needing an airbag-recall replacement per zip code — from population density, state, and how much of the area was already covered — for operational planning.
  • Supervised a part-time junior analyst for 7 months, providing mentoring and quality assurance.

Attribution Data Scientist

Entain

Internet und Informationstechnologie

>10.000 Mitarbeiter

  • Developed and maintained machine learning models for acquisition and retention (data-driven attribution vs. customer lifetime value), owning them end to end — from feature engineering to deployment.
  • Automated campaign optimization workflows using model outputs to simulate and compare budget scenarios.
  • Implemented Marketing Mix Modeling (MMM) to measure how much offline marketing contributes to new-user acquisition.
  • Built and maintained marketing performance dashboards (CPM, CPC, CAC, ROAS) using Google Analytics, Fivetran, and Appsflyer data; automated report generation and alerting.
  • Designed and implemented an A/B testing algorithm to assess campaign performance and user behavior.
  • Awarded a 33% performance-based salary increase during tenure.

Data Scientist

N5 Now, Fintech SaaS Provider

Banken und Finanzdienstleistungen

10-50 Mitarbeiter

  • Built and deployed models for Superdigital (Santander Brazil) predicting which clients would leave, what each client is worth over time, and how to segment them — with results integrated into SQL-based dashboards.
  • Developed a proof of concept to optimize how marketing budget is split across campaigns, improving targeting precision and efficiency.
  • Enriched customer segmentation using public socioeconomic data and behavioral signals from Google Analytics.
  • Mentored an intern, ensuring delivery of high-quality outputs and supporting professional development.

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