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.