Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders.
Essential Responsibilities:
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
Minimum Qualifications:
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
Preferred Qualification:
- 5-7 years of relevant experience working with large-scale complex dataset.
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business question
- Excellent communication skills, equally adept at working with engineers as well as business leaders
- Want to build new solutions and invent new approaches to big, ambiguous, critical problems
- Strong working knowledge of Excel, SQL and Python/R
- Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts.
Our Benefits:
Any general requests for consideration of your skills, please