Senior Data Scientist
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Job Description
Senior Data Scientist at Aplazo developing AI-driven models for credit risk, growth, and fraud. Collaborating across domains with a focus on fintech innovations and strategies.
Responsibilities:
- Contribute across Credit Risk (underwriting, fraud, collections), Growth (personalization, recommendations, incentivization), and AI initiatives based on team priorities
- Own projects end-to-end within your assigned domain, data, modeling, deployment, and post-launch monitoring
- Develop deep familiarity across multiple domains and systems, enabling the team to move faster and maintain continuity as we scale
- Drive research and exploration workstreams, evaluating new modeling approaches, alternative data sources, and tooling that keeps Aplazo ahead of the curve
- Collaborate closely with Lead and Staff Data Scientists to deliver on the broader roadmap
- Identify and flag opportunities for improvement across domains, you'll often be the person with the broadest view of what's working and what isn't
Requirements:
- 4–8 years of experience across more than one data science domain, Risk, Growth, Personalization, or similar
- Strong ML fundamentals, you can pick the right tool for the problem rather than defaulting to what you know best
- Demonstrated ability to ramp quickly on unfamiliar problems and deliver with limited guidance
- Proficiency in Python, SQL, and standard ML frameworks
- Hands-on experience with LLMs / GenAI as part of your regular workflow
- Production experience, you've taken models past the notebook stage
- Fintech or BNPL background, familiarity with credit risk or fraud modeling concepts (Strong Plus)
- Experience with experimentation frameworks and A/B testing at scale (Strong Plus)
- Exposure to MLOps practices, feature pipelines, model monitoring, deployment (Strong Plus)
- Publications or presentations in recognized Machine Learning and Data Science journals / conferences (Strong Plus)
Benefits:
- Health insurance
- Professional development opportunities
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