Senior Data Scientist

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

Benefits offered by this job

Flexible PTO

Medical, dental, vision, and wellness benefits

Equity grants

Job summary

Nova Credit seeks an experienced Senior Data Scientist to join their NYC teams in a full-time hybrid role. This position involves developing data science strategies to analyze credit risks and collaborating across various departments to deploy predictive models.

Qualified candidates should have at least 4 years of experience in data science and be fluent in Python and SQL. The role provides competitive compensation, flexible PTO, and comprehensive health benefits.

Qualifications

• 4+ years of experience in data science or quantitative modeling.
• Experience with machine learning methods and hypothesis testing.
• Knowledge of consumer credit risk is a plus.

Responsibilities

• Research and develop credit risk predictive models using consumer performance data.
• Create bank transaction text classification models with statistical techniques.
• Collaborate with engineering to ensure reliable deployment of data science products.

Skills

Data science experience

Machine learning

Fluent in Python

SQL proficiency

Statistical techniques

Generalized linear models

NLP experience

Education

PhD or MS in Data Science, Computer Science, Statistics, or related field

Tools

PySpark

Polars

Job description

Company

Nova Credit is a credit infrastructure and analytics company that helps businesses use alternative credit data to make smarter credit decisions.

Senior Data Scientist

Full‑time, NYC‑based hybrid role (3 days per week in office). Reports directly to the Head of Data Science.

Role Overview

As part of the Data Science team, you will research, design, and develop nova credit’s global data science strategy. You will collaborate with data partnerships, risk and analytics, product, engineering, and customer success to build and deploy predictive risk signals through data analytics and insights.

Responsibilities

• Research and develop credit risk predictive models using cross‑border consumer performance data or bank transaction data.
• Create bank transaction text classification models with statistical techniques and large language models.
• Generate attributes from bank transaction data for credit risk assessment, income verification, and other financial products.
• Develop models for document processing and tampering identification.
• Collaborate with engineering to ensure reliable deployment of data science products.
• Continuously research new data sources, variables, and modeling methodologies.
• Build and execute model monitoring solutions.

Skillset

• 4+ years of experience in data science, quantitative modeling, or machine learning.
• PhD or MS in Data Science, Computer Science, Statistics, or related field preferred.
• Fluent in generalized linear models, machine learning methods, and hypothesis testing.
• Proficient in Python and SQL; experience with PySpark and Polars preferred.
• Experience with NLP and document fraud detection is a plus.
• Knowledge of consumer credit risk is a plus.
• Strong ability to decompose complex problems into fundamental, solvable components.

Compensation

IC3: $140,000 - $166,250

IC4: $168,000 - $199,500

Base salary range is based on individual experience, skills, education, location, and qualifications. Compensation includes base salary, equity grants, incentive compensation (if applicable), professional development, flexible PTO, and tenure rewards.

Benefits

U.S.‑based candidates receive competitive employer‑subsidized medical, dental, vision, mental health, and wellness benefits. Nova Credit offers flexible PTO and other perks.

EEO Statement

Nova Credit is an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.