Data Scientist
Nova Credit
New York, United States of America
12 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 200KJob location
Remote
New York, United States of America
Tech stack
Data analysis
Statistical Hypothesis Testing
Python
Machine Learning
SQL Databases
Transaction Data
Large Language Models
PySpark
Core Data
Information Technology
Document Classification
Job description
- The Senior Data Scientist role will be part of the Data Science team at Nova Credit, where you will play a crucial role in researching, designing, and developing our global data science strategy
- Applying your critical thinking and analytical skills to data, traditional statistical modeling, and modern machine learning techniques, you will serve as a conduit to bring key functions together, including: data partnerships, risk and analytics, product, engineering, and customer success, to develop and implement our core data systems
- Working closely with our customer-facing teams, you will demonstrate the strength of our products and services through data analytics and insights. Ultimately, your role is to ensure that Nova Credit's products deliver high-quality predictive risk signals; every initiative you work on will be crucial to the company's success
- Reporting directly to the Head of Data Science
- Research and develop credit risk predictive models based on cross-border consumer performance data or bank transaction data
- Research and develop bank transaction text classification models leveraging statistical models and/or large language models
- Utilize bank transaction data to develop attributes for credit risk assessment, income verification, or other financial products
- Research and develop models for document processing and tampering identification
- Collaborate with our engineering organization to guide reliable deployments of data science products
- Perform continuous research into new data sources, variables, and modeling methodologies
- Develop and execute model monitoring solutions
Requirements
- Above all, the ability to break down new and complex problems into fundamental and solvable components
- Required - Fluency in generalized linear models & machine learning methods and tools; Preferred - Experience with hypothesis testing
- Preferred - consumer credit risk knowledge
- Required - Fluency using Python and SQL; Preferred - Experience using PySpark and Pola.rs
- Preferred - NLP and document fraud experience
- 4+ Years relevant experience in data science, quantitative modeling, or machine learning
- Relevant PhD or MS preferred (e.g., Data Science, Computer Science, Statistics, Applied Statistics, Operational Research)
Benefits & conditions
- SF / NY salaries across the US
- Free flight anywhere in the world on every anniversary
- Complementary wellness benefits, including Headspace and Ginger subscriptions
- $75/month contribution by Nova towards commuter benefits
- $50/month contribution by Nova Credit towards your cell phone bill
- Dental and vision are 95% subsidized for Nova Credit employees, and 50% for dependents
- Unlimited paid time off policy
- $1500/year professional development budget
- Catered lunch on Mondays, Wednesdays, and Fridays
- Health insurance