Lead machine learning and predictive analytics initiatives remotely, guiding data scientists and building solutions for financial technology products.
This Lead Data Scientist position directs advanced data science work within a financial technology firm. You will lead model development, statistical modeling, and data-driven projects from conception through deployment. The role emphasizes product development, customer experience, and operational efficiency through scalable analytical solutions.
Key Responsibilities:
Lead data scientists developing advanced machine learning models
Design projects covering data mining and feature engineering
Develop predictive models for behavior, risk, and forecasting
Collaborate with product managers, engineers,
and stakeholders
Mentor junior data scientists and communicate technical findings
Requirements:
Master's or Ph.D. in a quantitative field
At least seven years of data science experience
Two years in leadership or team lead experience
Expertise in machine learning and statistical modeling
Python or R proficiency with relevant libraries
Apply advanced machine learning, predictive analytics, and leadership expertise to shape remote financial technology data initiatives.
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