Lead Data Scientist Role
As a lead data scientist, you will play a pivotal role in crafting and optimizing solutions for enterprise customers using global data from our suite of leading fraud solutions.
About the Position
You will leverage real-time platforms analyzing billions of transactions per month for top companies in Financial Services, Insurance, e-Commerce, and On-Demand Services. Your expertise in data analysis, statistical modeling, and machine learning will drive immediate real-world impact through reduced customer friction, lower fraud losses, and increased customer profitability.
Responsibilities:
* Developing and implementing machine learning or rule-based models following best practices to banking model governance standards
* Defining features that capture evolving fraudster behaviors using strong knowledge of SQL and Python, as well as quantitative skills
* Creating internal tools to streamline the model training pipeline and analytics workflows
* Transforming uncertainty into value-add opportunities through curiosity and problem-solving skills
* Delivering industry-leading presentations for external and executive audiences through strong attention to detail and data storytelling
Requirements:
* Experience in a data science role, ideally within the fraud, risk, or banking/payments domain
* Proficiency in Python and SQL, with BI tools like Tableau or Power BI being a bonus
* Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in ML Ops principles to build scalable and standardized workflows and implement effective ML monitoring systems
* Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail