I lead the data science team behind Monopoly GO — one of the highest-grossing mobile games ever made. Before that: industrial engineer in France, led a supply chain team in Shanghai, retail analytics in Hong Kong, an ERP transformation in London, then data science in a French bank. The through-line is that I like problems nobody has defined yet.
At Scopely I've spent four years building a data science function as much as running one. Matchmaking and game-economy simulation are now capabilities other teams rely on, and Players Profiler — a cross-team segmentation framework I proposed, got funded and now lead — is one of the bigger things on our 2026 roadmap. I also like planting ideas in teams I don't run: a social-dynamics initiative running elsewhere in the organisation started as a case I kept making until the Leads there took it on. Lately I've been building AI tooling as an internal product — for my own team, and for teams outside it.
I've worked with people in France, the UK, China, Hong Kong, India, Bangladesh, Japan, South Korea, Thailand and the US, and I've learned more from that than from any course. I've built on an industrial engineering background with an MBA, a data science toolkit, and a stubborn entrepreneurial streak.
I also care what the work is for. I co-founded GoodShifter, an app that rates groceries across 21 health, environmental and social criteria and suggests better alternatives available in your own supermarket — built because I wanted something I'd actually use.
Most interested in problems that aren't defined yet, and in organisations where scope is earned rather than assigned. Always happy to talk.
French citizen — authorised to work across the EU/EEA without sponsorship. Spanish tax resident, available to non-EU employers via Deel/EOR.
DATA SCIENCE MANAGER
Sep 2024 - Now
MONOPOLY GO! | SCOPELY | Barcelona | Spain
I lead the data science team behind one of the highest-grossing mobile games ever made. Matchmaking and game-economy simulation are now capabilities other teams rely on, and Players Profiler — a segmentation framework I proposed, got funded and now lead — is one of the bigger things on our 2026 roadmap. I also like planting ideas in teams I don't run: a social-dynamics initiative running elsewhere started as a case I kept making until the Leads there took it on. Lately I've been building AI tooling as an internal product.
LEAD DATA SCIENTIST
Apr 2022 - Aug 2024
PLAYGAMI | SCOPELY | Barcelona | Spain
Central ML platform serving Scopely's game portfolio. I co-led the function after the Director left and wasn't replaced, and spent most of my time on a problem that wasn't in the job description: a platform team was building products without knowing what the games needed. Fixing that produced most of what we shipped — matchmaking, churn intercept, the cost work that paid for itself.
CO-FOUNDER
Jan 2023 - Now
GOODSHIFTER | Barcelona | Spain
An app that rates groceries across 21 health, environmental and social criteria and shows you better alternatives that are actually stocked in your supermarket. I own the product — vision, user journey, UX/UI, workflows — and direct the external team that builds it. Live on both app stores.
I built it because I wanted to use it.
TEAM LEAD | DATA SCIENTIST
Jul 2021 - Apr 2022
BNP PARIBAS | Madrid | Spain
RISK Artificial Intelligence Research
Manage a team of 5 data experts: Data Business Analysts, Data Scientists, Data Engineers.
Undertake to close the Gender Pay Gap at RISK France (1,500 employees) by comparing salaries of employees with similar profiles, using a scikit-learn k-Nearest Neighbors regression (kNN), distributing the results through R Markdown reports and a Dash application, and protecting data confidentiality through an encryption strategy.
Join the Junior RISK Executive Board to promote and implement new ways of working (Agile, Lean…).
DATA SCIENTIST
May 2020 - Jun 2021
BNP PARIBAS | Madrid | Spain
RISK Artificial Intelligence Research
Develop a model for predicting incomes of micro-companies by aggregating transactional data (12m transactions, 32k features), using scikit-learn and XGBoost ensemble-based regression algorithms.
Develop a Minimum Viable Product (MVP) identifying duplicates in a database compiling information related to French company executives and shareholders (22m records) using recorlinkage, SQLite and Flask.
Produce guidelines for Model Risk Management with associated scorecard and documentation template.
DATA SCIENTIST | BIG DATA ANALYST
Oct 2019 - Apr 2020
KEEDIO | Madrid | Spain
Log Analytics for KloudSense
Build the Log Anomaly Detection model for KloudSense, the Cloud Native Observability Platform developed by Keedio for monitoring, alerting, analytics and prediction of Big Data clusters state.
Create the data ingestion pipeline with rsyslog and CrateDB, then deploy it on the cluster using Ansible.
Apply Natural Language Processing techniques (NLP) with Python and Spark, using Plotly for data visualization.
GLOBAL COMMERCIAL ANALYST
Feb 2016 - Dec 2017
MOTHERCARE | London | UK
Subject-Matter Expert Sourcing - Oracle Retail Project
Represent the Sourcing Division in the Oracle Retail implementation project, acting as a cross-functional liaison between operational departments and the programme team, reporting progression, challenges and successes.
Challenge ways of working, documenting new process design and functionalities requirements, leading in delivery of Quick Wins solutions, ensuring implementation of consistent and repeatable methods company-wide.
GLOBAL ANALYST
Sep 2013 - Jan 2016
MOTHERCARE | Hong Kong | China
Business Analysis - Vendor Management
Analyse and transform business data, monitor and communicate on key metrics across all Sourcing divisions (sales, stocks, quality, profit) to influence and ensure delivery against business plan.
Define business and supplier strategy in conjunction with the Sourcing Heads, for each country and product category, based on quotation data and potential gains.
Supervise outsourced developers and collaborate with IT teams to adjust existing systems and databases to improve processes efficiency, ensure accuracy of reports and provide actionable insights.
TRIMS & FURNITURE MANAGER
Feb 2012 - Dec 2012
DEVANLAY LACOSTE | Hong Kong | China
Trims, Furniture and Point-Of-Sales Materials Purchasing
Manage and coach a team of 7 people based in Shanghai, securing procurement flows and inventory of Lacoste logos and trims, mentoring and recruiting new members to put into practice new business activities.
Improve care label supply by defining data standards and setting up a single provider for the APAC region.
Implement sourcing processes of furniture and Point-Of-Sales materials for all shops in APAC region.
Take ownership of the Support Service for the Lacoste Asian Production Licensees, providing technical assistance and procurement service, and focusing on restoring business value and customer satisfaction.
BUSINESS ANALYST
Feb 2011 - Jan 2012
DEVANLAY LACOSTE | Hong Kong | China
Reporting - Supply Chain Planning - Project Management
Direct the Asian platform reporting to senior executives (C-level), identifying relevant data, defining the most critical KPIs, designing dashboards, highlighting deviations and prescribing corrective actions.
Conduct Sales and Operations Planning meetings (S&OP), controlling alignment of commercial, production and supply chain plans, continuously improving the method in concert with the Supply Chain Director and local teams.
Lead the care labels standardization for APAC, complying with legal and distribution constraints, and deploying an ordering web interface to 40 Asian suppliers.
SUPPLY CHAIN ENGINEER
Oct 2009 - Jan 2011
DEVANLAY LACOSTE | Shanghai | China
Organisation Processes Audits - Suppliers Management
Perform selective audits in several areas including supply chain, logistics, supplier management and quality, and propose solutions and tools to improve procedures efficiency and performance.
Standardize supplier relationship management processes by building a performance evaluation tool in Excel VBA, and regularizing contracts terms and conditions and social compliance certificates.
SUPPLY CHAIN AND PROJECT MANAGEMENT ENGINEER
Oct 2007 - May 2009
LGM GROUP | Paris | France
SNCF - Simulation of Logistics Flows in Maintenance Centres
Optimize logistics flows in 26 French train maintenance centres by collecting data, building data analytics tools (Excel VBA), modelling new scenarios in ExtendSim, and training client teams.
Renault Trucks Défense - Project Management Support
Support project managers of Engineering and Design Department by developing project management tools (Excel), watching costs (€3.5m budget), planning, resources, and action plans (Microsoft Project), coordinating prototype parts stock and communicating about risks and opportunities.
MASTER IN BUSINESS ANALYTICS AND BIG DATA
Oct 2018 - Jul 2019
IE SCHOOL OF HUMAN SCIENCES & TECHNOLOGY | Madrid | Spain
#3 European Master, #10 Worldwide - QS World Ranking 2018
President of IE Technology and Innovation Club
President of IE Photography Club
INTERNATIONAL MBA
Jan 2018 - Jul 2018
IE BUSINESS SCHOOL | Madrid | Spain
#3 European Business School, #8 Worldwide - FT Ranking 2017
MASTER'S DEGREE IN INDUSTRIAL ENGINEERING
2003 - 2007
IMT MINES ALBI-CARMAUX | Albi | France
Graduate School of Engineering - French 'Grandes Ecoles'
INTERNSHIP
Feb 2007 - Jul 2007
ISA FRANCE | Besançon | France
Initialization of the ERP Implementation
Audit the decision process. Collect production key-data. Develop a planning tool (Excel VBA). Train the final users.
INTERNSHIP
May 2006 - Aug 2006
EMR | La Réunion | France
Reengineering of the Core-Business Process
Redefine physical and information flows. Write job descriptions and procedures, and organize the shared network. Set up inventory and quality management tools. Design a CRM model.
INTERNSHIP
May 2005 - Aug 2005
BOSCH REXROTH | Lyon | France
Stock Accuracy Project
Support new process execution by auditing production lines, creating tailored forms and training staffs to ERP (SAP).
Python R SQL NoSQL
Apache Spark Scala Git
All my data science projects are showcased on datascience.ashleyomahony.com,
with project repositories being available on my GitHub.



DATA SCIENCE & AI LEADER | MONOPOLY GO @ SCOPELY
Strategy, Org Building & Player Intelligence
Engineering → Supply Chain → Banking → Gaming → Data & AI
Int'l MBA + MSc in Big Data | IE Business School (Spain)
MSc in Industrial Engineering | IMT Mines Albi-Carmaux (France)