Related skills
r sql python machine learning causal inference📋 Description
- Define the technical strategy for multi-objective payments optimization.
- Own cross-functional initiatives solving complex problems with broad impact.
- Lead optimization algorithms (contextual bandits) and experiments (A/B, causal inference).
- Collaborate with engineers to build tools and deploy ML in production.
- Partner with Product, Engineering, Risk to inform product strategy and investments.
- Communicate insights to technical and non-technical audiences; mentor junior data scientists.
🎯 Requirements
- Advanced degree (PhD or MS) in Statistics, Engineering, CS, Economics, or related field.
- 5+ years of industry experience in data science or applied ML.
- Experience in experimentation and causal inference to drive data-informed decisions.
- Technical leadership with ability to influence product strategy in high-growth environments.
- Proficient in SQL and Python/R.
- Experience using LLM, AI and agents to improve processes and ML models.
🎁 Benefits
- Opportunity to work on impactful problems influencing payments success and outcomes.
- Collaborate with a cross-functional, high-growth team in a fast-paced environment.
- Drive adoption of advanced data science techniques and experimentation to improve outcomes.
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