Energy Jobline ZR
Senior Data Scientist - Credit Underwriting in New York
Energy Jobline ZR, New York, New York, us, 10261
Overview
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
About Clair If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck?
At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day.
Learn more about us at getclair.com/about
About the Role As a Senior Data Scientist on Clair's Data Science team, you'll be responsible for developing and maintaining the next of credit models and predictive systems that power Clair's financial products. You'll shape how millions of hourly workers access affordable credit, leveraging cutting-edge data science to assess risk, predict repayment, and optimize credit decisions.
We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence. This role blends credit modeling with feature engineering — from designing new model features (including predictive features) based on user transaction data to deploying and monitoring production-ready ML models that drive critical product decisions.
To succeed, you'll need a deep technical foundation in machine learning and statistical modeling, hands‑on experience in model deployment, and strong communication skills to collaborate with engineers, product managers, and risk teams.
Key Responsibilities
Develop and maintain credit risk and repayment models that directly power Clair's underwriting and decision systems.
Design and engineer predictive features using transaction-level data, including the prediction of user income flows, spending, and repayment behaviors.
Collaborate with engineering teams to deploy, monitor, and optimize models in production environments using AWS and Snowflake ML Platform.
Build prototypes of new modeling methodologies and present them to stakeholders for evaluation and feedback.
Investigate and analyze credit performance, identifying root causes of model drift or unexpected repayment behavior.
Partner cross‑functionally with product, risk, and engineering teams to turn data insights into product improvements and credit strategy refinements.
Communicate technical concepts clearly to both technical and non‑technical audiences.
Stay current on best practices and emerging techniques in credit modeling, explainable AI, and financial ML systems.
Minimum Qualifications
5+ years of professional experience in data science and machine learning.
Proven track record of leading end‑to‑end data science projects — from research and model development to deployment and monitoring.
Experience building and productionizing credit or risk assessment models.
Strong proficiency in Python and familiarity with modern ML libraries (TensorFlow, PyTorch, XGBoost, etc.).
Strong command of SQL and experience working with large transactional and time‑series datasets.
Strong communication skills and ability to translate complex findings into actionable insights.
Experience working with cross‑functional teams in a fast‑paced production environment.
Qualifications
Experience in fintech or credit risk modeling.
Experience with cloud‑based machine learning environments (AWS, Azure, Snowflake ML Platform, etc.).
Familiarity with model explainability techniques and compliance requirements in financial modeling.
Experience working with time‑series analysis and modeling, including forecasting, trend detection, and temporal feature engineering
Additional Details Location:
This is a hybrid position based out in New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings.
Compensation:
The annual base salary for this role is $165,000 to $172,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair's competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future.
Need more convincing?
Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair:
Medical, Dental, & Vision Coverage, with option to extend to your family
Fully‑paid parental leave
Company-sponsored 401k, HSA, and FSA
Unlimited vacation for salaried roles, generous PTO for hourly roles
Work from home setup allowance
Access to your earnings every day on Clair
Company-sponsored short‑term and long‑term insurance
Equal Opportunity Employer Information Clair is an equal opportunity employer and we value at our company. We actively seek a diverse applicant pool and do not discriminate on the basis of , , , , , , , marital status, veteran status, or status.
For questions, please email us at careers@getclair.com
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
About Clair If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck?
At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day.
Learn more about us at getclair.com/about
About the Role As a Senior Data Scientist on Clair's Data Science team, you'll be responsible for developing and maintaining the next of credit models and predictive systems that power Clair's financial products. You'll shape how millions of hourly workers access affordable credit, leveraging cutting-edge data science to assess risk, predict repayment, and optimize credit decisions.
We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence. This role blends credit modeling with feature engineering — from designing new model features (including predictive features) based on user transaction data to deploying and monitoring production-ready ML models that drive critical product decisions.
To succeed, you'll need a deep technical foundation in machine learning and statistical modeling, hands‑on experience in model deployment, and strong communication skills to collaborate with engineers, product managers, and risk teams.
Key Responsibilities
Develop and maintain credit risk and repayment models that directly power Clair's underwriting and decision systems.
Design and engineer predictive features using transaction-level data, including the prediction of user income flows, spending, and repayment behaviors.
Collaborate with engineering teams to deploy, monitor, and optimize models in production environments using AWS and Snowflake ML Platform.
Build prototypes of new modeling methodologies and present them to stakeholders for evaluation and feedback.
Investigate and analyze credit performance, identifying root causes of model drift or unexpected repayment behavior.
Partner cross‑functionally with product, risk, and engineering teams to turn data insights into product improvements and credit strategy refinements.
Communicate technical concepts clearly to both technical and non‑technical audiences.
Stay current on best practices and emerging techniques in credit modeling, explainable AI, and financial ML systems.
Minimum Qualifications
5+ years of professional experience in data science and machine learning.
Proven track record of leading end‑to‑end data science projects — from research and model development to deployment and monitoring.
Experience building and productionizing credit or risk assessment models.
Strong proficiency in Python and familiarity with modern ML libraries (TensorFlow, PyTorch, XGBoost, etc.).
Strong command of SQL and experience working with large transactional and time‑series datasets.
Strong communication skills and ability to translate complex findings into actionable insights.
Experience working with cross‑functional teams in a fast‑paced production environment.
Qualifications
Experience in fintech or credit risk modeling.
Experience with cloud‑based machine learning environments (AWS, Azure, Snowflake ML Platform, etc.).
Familiarity with model explainability techniques and compliance requirements in financial modeling.
Experience working with time‑series analysis and modeling, including forecasting, trend detection, and temporal feature engineering
Additional Details Location:
This is a hybrid position based out in New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings.
Compensation:
The annual base salary for this role is $165,000 to $172,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair's competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future.
Need more convincing?
Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair:
Medical, Dental, & Vision Coverage, with option to extend to your family
Fully‑paid parental leave
Company-sponsored 401k, HSA, and FSA
Unlimited vacation for salaried roles, generous PTO for hourly roles
Work from home setup allowance
Access to your earnings every day on Clair
Company-sponsored short‑term and long‑term insurance
Equal Opportunity Employer Information Clair is an equal opportunity employer and we value at our company. We actively seek a diverse applicant pool and do not discriminate on the basis of , , , , , , , marital status, veteran status, or status.
For questions, please email us at careers@getclair.com
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr