Remote opportunity at
AiraloStaff Data Scientist, Pricing
Airalo is seeking a Staff Data Scientist, Pricing to develop advanced analytical and machine learning systems that drive pricing operations for its global eSIM platform. Operating…
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About This Role
Airalo is seeking a Staff Data Scientist, Pricing to develop advanced analytical and machine learning systems that drive pricing operations for its global eSIM platform. Operating remotely, the company connects millions of travelers to mobile data across more than 200 countries and regions with a fully remote team distributed worldwide. This role focuses on creating trusted predictive models, running rigorous pricing experiments, and defining core economic metrics utilized across commercial,…
Job Description
Airalo is seeking a Staff Data Scientist, Pricing to develop advanced analytical and machine learning systems that drive pricing operations for its global eSIM platform. Operating remotely, the company connects millions of travelers to mobile data across more than 200 countries and regions with a fully remote team distributed worldwide.
This role focuses on creating trusted predictive models, running rigorous pricing experiments, and defining core economic metrics utilized across commercial, product, and customer experience departments. The ideal professional will guide the journey from measurement to prescription, building optimization layers that generate automated price recommendations under multiple partner and market constraints.
Responsibilities
- Build and maintain demand and elasticity models across various destinations, durations, data tiers, and customer segments
- Develop production-ready machine learning algorithms for demand forecasting and willingness-to-pay estimation with ongoing monitoring
- Design an optimization layer to convert predictions and elasticities into recommended pricing considering margin and partner constraints
- Implement statistically rigorous pricing experiments and apply causal methods when standard randomization is unavailable
- Establish governed data definitions for cost, price, and package economics shared across analytical and product systems
- Collaborate with Finance and Commercial teams to evaluate opportunities and connect pricing choices directly to revenue and margin
Requirements
- Have at least 7 years of professional experience in applied research, quantitative economics, or data science focusing on pricing, monetisation, or marketplace economics
- Demonstrate hands-on experience deploying dynamic or algorithmic pricing systems into production
- Show expertise across the complete machine learning lifecycle from feature engineering to deployment
- Bring proven capability in experimental design, decision frameworks, and failure mode analysis
- Possess strong data modelling instincts prioritizing reusable definitions and unified sources of truth
- Write fluent Python code within the machine learning stack alongside advanced SQL proficiency
- Communicate complex methodological concepts effectively to both technical and non-technical stakeholders
- Demonstrate proficiency in utilizing AI tools to enhance analytical workflows
Qualifications
- Hold an advanced degree in Statistics, Econometrics, Operations Research, or a related field, or display equivalent applied expertise in demand estimation
- Familiarity with constrained optimization, multi-armed bandits, or reinforcement learning methods
- Prior background working within marketplace, telecom, travel, or subscription and usage-based business models
- Experience applying Bayesian or hierarchical modeling techniques to sparse segments and long-tail SKUs
- Familiarity with competitive price response modeling or scraped competitor pricing datasets
- Experience working with semantic or BI layers such as dbt or LightDash
Core Skills
Benefits
- Access company benefits detailed through the external Airalo benefits link provided in the original posting
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, Airalo operates as a fully remote company by design with a globally distributed team.
What is the employment type and contract status?
The role is a full-time, permanent position.
What salary is offered for this role?
The salary is not stated in the job posting.
How can I apply for this position?
Interested candidates can apply directly through the application link provided in the job posting.
Sample Interview Questions
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