Senior Data Scientist, Growth

The role

You will own all data science initiatives across Growth and Marketing. You will design, build, and maintain lifetime value prediction models across four countries to influence growth investment and customer value decisions.

What you will do

• Design, build, maintain, and improve lifetime value prediction models across ARQ's countries and acquisition channels.
• Work with Growth & Marketing, Product, Finance, Data Engineering, and Engineering teams to translate business needs into modelling solutions.
• Evaluate acquisition quality by channel, campaign, geography, customer segment, and product behaviour.
• Build models to support decisions around growth spend, payback periods, customer quality, retention, and long term value.
• Analyse large scale customer, product, marketing, and transaction datasets.
• Monitor model performance and improve accuracy, reliability, and business impact.
• Create frameworks and metrics to help teams understand growth decision trade offs.
• Partner with Data Engineering and Engineering teams to productionise models, pipelines, and reporting.
• Contribute to other Data Science challenges across Growth and the wider business.

Required qualifications

• 5+ years in Data Science, Machine Learning, Applied Statistics, Analytics, or a related discipline.
• Experience building prediction models in a consumer business (B2C, D2C).
• Strong Python skills.
• Experience working with large scale datasets.
• Solid understanding of supervised learning techniques, model evaluation, feature engineering, and statistical trade offs.
• Ability to translate ambiguous commercial questions into structured data science problems.
• Strong business judgement.
• Experience working cross functionally.
• Clear communication skills.
• Fluent in English.

Nice to have

• Experience in fintech, banking, payments, investing, lending, or another financial consumer product.
• Experience at a high growth B2C or D2C company, such as consumer fintech, health tech, subscription, retail, wellness, or marketplace businesses.
• Experience with LTV, CAC, payback period, acquisition efficiency, cohort modelling, retention modelling, churn prediction, or marketing mix related problems.
• Experience working across multiple countries, currencies, channels, or customer segments.
• Experience productionising models or working closely with Engineering and Data Engineering teams to deploy data science solutions.
• Familiarity with MLOps, model monitoring, experiment design, causal inference, or incrementality measurement.

Benefits

• Competitive salary and benefits
• Stock options
• Discretionary performance bonus
• The latest tools and technology
• A world-class team

About the company

ARQ is building the best fintech app in Latin America.