Data Scientist, FinTech

About the Role

We're seeking a Data Scientist to join our FinTech Data Science team. In this role, you will apply advanced statistical analyses and ML models to large datasets to solve challenges in Billing and Fraud. You will lead the development of our foundational fraud detection framework, building the initial ML models to mitigate financial risk. In addition, you will drive innovation in our Billing systems by applying AI to unstructured data to improve user experience. If you are excited to use data to not only optimize our operations but to discover and build the next generation of FinTech products, we would love to hear from you!

The ideal candidate will possess a strong foundational knowledge of data science principles and statistical modeling. Day-to-day responsibilities include:

Collaborate with Product, Engineering, Support and Finance teams to translate complex business requirements into scalable data science solutions for Billing and Fraud

Lead the design and implementation of foundational Machine Learning models to detect financial anomalies, abuse patterns, and fraud risks

Leverage AI and NLP techniques to mine unstructured data, such as support logs and user feedback, to identify friction points and uncover hidden improvements in our billing systems

Manage the full lifecycle of our models, from exploratory analysis and feature engineering to validation, deployment, and monitoring in production

Proactively identify opportunities to transform data insights into new FinTech product features or strategic business initiatives

Build and optimize robust data pipelines ensuring data is discoverable and easy to query

Required skills, knowledge, and experience:

MS/PhD in a quantitative field (CS, Statistics, Math, etc.) with 5+ years of industry experience

Strong knowledge and hands-on experience in machine learning and statistics

Experience using LLMs to extract actionable insights from unstructured data

Proficiency in SQL and Python

Hands-on experience building and maintaining data pipelines

Experience deploying machine learning models into production environments

Ability to navigate ambiguity and lead the development of foundational products from scratch

Excellent communicator, with a focus on driving impact

Bonus Points

Experience in FinTech

Experience working on fraud or support related problems

Experience building AI agents

Data Scientist, FinTech

Data Scientist, FinTech

About the Role

Required skills, knowledge, and experience:

Bonus Points

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