Not specified (assumed hybrid based on the nature of analytics roles).
Predictive modeling techniques
Statistical models
Data mining
Snap Finance is seeking a Sr. Data Scientist to enhance its analytics department, focusing on predictive modeling and data analysis within the consumer finance sector. The company values an inclusive culture that empowers both employees and customers
Job Summary
Snap Finance is seeking a dedicated Sr. Data Scientist to support the Sales and B2B Marketing departments by building and validating predictive models.
The role involves mining large datasets, designing experiments, analyzing business impact, and delivering insightful recommendations to stakeholders.
The company offers a value-based culture with generous paid time off, competitive benefits including medical, dental, vision, and 401K with company match.
Matching Summary
Match Score: 85
Snap Finance is seeking a Sr. Data Scientist to enhance its analytics department, focusing on predictive modeling and data analysis within the consumer finance sector. The company values an inclusive culture that empowers both employees and customers.
Skills & Requirements
Must-have
predictive modeling techniques
statistical models
data mining
machine learning
Python or R
SQL skills
transaction-level data analysis
Nice-to-have
consumer finance experience
sales operations knowledge
B2B marketing methods
data structures and databases
Big Data techniques
Key Requirements
3-5 years data science experience
M.S. in quantitative field
B.S. with robust experience considered
Expertise in classification methods
Expertise in regression methods
Expertise in clustering methods
Robust statistical analysis skills
Data science projects from development to production