Senior Data Scientist

Key Skills

Algorithms, Credit Risk, Data science techniques, Finance, Machine learning techniques, Operations, PySpark, Python Programming, SQL

Job Description

The Senior Data Scientist will be part of the Cash Atlas Data Science team within Nova Credit, where you will play an essential role in researching, designing, and building out our data science strategy, for our Cash Atlas product. 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 through data analytics, and insights. Your role is to ensure that Nova Credit’s products deliver high-quality predictive risk signals; every initiative you work on will be critical to our team’s success!

This is a full-time, remote-friendly role reporting to the Director of Data Science. Candidates based in the New York City Metropolitan Area are strongly preferred.

RESPONSIBILITIES & KEY PROJECTS:

• Develop algorithms to unify bank transaction data from multiple banks and data vendors
• Develop models based on bank transaction descriptions and other consumer finance data
• Use bank transaction data to research and create variables used for credit risk modeling
• Develop underwriting/credit risk models using bank transaction data
• Collaborate with engineering teams to guide reliable deployments of data science solutions;
• Perform continuous research into new data sources, feature engineering, and modeling methodologies

YOUR SKILLSET:

• 4+ years of relevant quantitative modeling or model validation experience in consumer finance/credit risk
• MS in a quantitative field such as Statistics, Data Science, Economics, or Operational Research
• Experience with generalized linear models, machine learning methods, and hypothesis testing
• Fluent in Structured Query Language (SQL) and Python
• Experience with PySpark preferred
• Experience with alternative data preferred
• Above all, critical thinking skills, creativity, an open mind, and curiosity to explore complex data to extract usable information and insights!

$158,400 - $193,600 a year

The Base Salary Range is for U.S.-based candidates and is dependent on individual experience, skills, education, location, and qualifications.

We consider all elements of compensation as a part of the value we provide to Novans. This may include base salary, equity grants, incentive compensation for eligible roles, professional development, flexible PTO, and tenure rewards. We offer U.S.-based Novans competitive, employer-subsidized medical, dental, and vision plans, in addition to mental health and wellness benefits and a range of other benefits & perks.