Senior Data Scientist

Novacredit; New York (NY); Hybrid; USD 140,000 - 199,500; Full time

Benefits offered by this job

Flexible PTO

Medical, dental, and vision plans

Mental health benefits

Job summary

Join Novacredit as a Senior Data Scientist where you will play a key role in developing credit risk predictive models and ensuring the effectiveness of our data products. This hybrid position requires strong skills in data science and machine learning.

With a focus on collaboration across teams, you'll work closely with our engineering and customer success teams to deliver high-quality predictive insights. We offer a competitive salary range and robust benefits that foster inclusivity and professional growth.

Qualifications

• 4+ Years relevant experience in data science, quantitative modeling, or machine learning.
• Required fluency in generalized linear models & machine learning methods and tools.
• Ability to break down new and complex problems into fundamental components.

Responsibilities

• Research and develop credit risk predictive models based on consumer performance data.
• Utilize bank transaction data for credit risk assessment and income verification.
• Collaborate with engineering to guide reliable data science deployments.

Skills

Data science

Quantitative modeling

Machine learning

Python

SQL

Hypothesis testing

NLP experience

Consumer credit risk knowledge

Education

PhD or MS in Data Science, Computer Science, Statistics, or Applied Statistics

Tools

PySpark

Pola.rs

Job description

WHO WE ARE

Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly by harnessing alternative credit data. The company leverages its unique data infrastructure, industry-leading analytics & FCRA‑compliance to help lenders fill in the gaps that exist in traditional credit analytics. Nova Credit provides access to the fragmented universe of consumer financial data and transforms it into compliant, actionable risk analytics through a suite of solutions designed to increase conversion through expanded coverage, speed, and reliability. Nova Credit supports over 7,000 businesses including organizations such as HSBC, SoFi, Scotiabank, Appfolio, and Yardi, who work with Nova Credit to make smarter credit decisions through cash flow underwriting with Cash Atlas™, quickly and accurately verify income with Income Navigator, verify income and assets with Eligibility Compass, and reach new‑to‑country consumers with Credit Passport®. We were named in Forbes’ Fintech 50 in 2025 and Built In’s Best Places to Work, 2025.

THE OPPORTUNITY

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 Nova Credit’s products deliver high‑quality predictive risk signals; every initiative you work on will be crucial to the company’s success.

This is a full‑time, NYC‑based hybrid role (3 days per week in office on Mondays, Tuesdays, and Thursdays) reporting directly to the Head of Data Science.

RESPONSIBILITIES

• 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.

YOUR SKILLSET

• 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).
• Required – Fluency in generalized linear models & machine learning methods and tools; Preferred – Experience with hypothesis testing.
• Required – Fluency using Python and SQL; Preferred – Experience using PySpark and Pola.rs.
• Preferred – NLP and document fraud experience.
• Preferred – consumer credit risk knowledge.
• Above all, the ability to break down new and complex problems into fundamental and solvable components.

Compensation

IC3: $140,000 - $166,250

IC4: $168,000 - $199,500

The Base Salary Range 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. Everyone is welcome at Nova Credit. We are an equal opportunity employer where our diversity and inclusion are central pillars to our company strategy. We look for applicants who understand, embrace and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.