---
title: 'Senior Applied Data Scientist at Clair'
canonical: 'https://feeny.ai/job/senior-applied-data-scientist-clair-new-york-1mzq1k0277yn'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Applied Data Scientist at Clair

- **Company:** Clair
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-18
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/clair/837b484a-80bd-4a73-a2ac-95548c303e9f

## Job description

## 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 http://getclair.com/about

## ABOUT THE ROLE

As an Applied Data Scientist on Clair’s Data Science team, you’ll be responsible for developing and maintaining the next generation 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.

## PREFERRED 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 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 $190,000-$200,000. 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.

Clair will only contact candidates from @getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it.

Clair will only contact candidates from @getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it.

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 disability insurance

## EQUAL OPPORTUNITY EMPLOYER INFORMATION

Clair is an equal opportunity employer and we value diversity at our company. We actively seek a diverse applicant pool and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For questions, please email us at careers@getclair.com

## About Clair

## Company Overview
- **One-liner**: Clair provides embedded earned wage access (on-demand pay) through partnerships with HR platforms, allowing employees to access their pay as it’s earned with no interest, no mandatory fees, and no changes to payroll.
- **Entity Type**: Private (funding stage not publicly disclosed)
- **Headquarters**: New York City, NY, USA
- **Founded**: Not publicly available (earliest mention in awards: 2022)
- **Founders**: Nico Simko (CEO & Co-Founder) and Erik Webb (COO & Co-Founder)

## Core Business
- Primary industry/industries: Financial technology (Fintech), Earned Wage Access (EWA), Embedded Finance
- Target customers: B2B – HR platforms (payroll, workforce management, HCM, wallets) that embed Clair’s EWA solution; B2B2C – end users (employees) of those platforms
- Mission or purpose statement: “Clair is on a mission to redefine payday by making earned wages instantly accessible … to create more financial freedom for America’s workforce.” [getclair.com/about](https://getclair.com/about)

## Products & Services
- **Clair for Payroll**: Embedded EWA solution that integrates with payroll platforms (e.g., Gusto) – no changes to payroll, no employer cost, automatic repayment at next payroll run. [getclair.com](https://getclair.com/)
- **Clair for Workforce Management**: EWA solution integrated with WFM platforms, offering advances based on hours worked, with zero setup for employers. [getclair.com](https://getclair.com/)
- **Clair Embedded API**: White-label API that product, design, and engineering teams can use to build EWA directly into their own apps, minimizing integration effort. [getclair.com](https://getclair.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Over 5 million professionals nationwide have access to Clair through partner platforms. [getclair.com/careers](https://getclair.com/careers)
- **Notable Investors/Partners**: Partners include Pathward®, N.A. (national bank for compliance); HR platforms such as Gusto (case study cited). Financial partners and investors are listed on the careers page but not named publicly. [getclair.com/careers](https://getclair.com/careers) | [getclair.com](https://getclair.com/)
- **Growth Signals**: 
  - 3x higher employee conversion with embedded solution vs. employer-integrated
  - 80% employee availability after employer opt‑outs
  - 20% average adoption rate (among eligible employees)
  - 99% of users take their first advance within 2 minutes of starting enrollment
  - Median time from initial contract to beta go-live: 4 months
  - NPS of 80. [getclair.com](https://getclair.com/)

## Competitive Advantages
- **Compliance-first**: Clair partners with a regulated bank (Pathward, N.A.) and ensures adherence to state-by-state EWA legislation, reducing regulatory risk for platforms and employers.
- **Zero burden on employers**: No changes to payroll, no added HR work, no setup fees, and no cost to offer the benefit. Automatic repayment at payroll run.
- **Unique underwriting model**: Uses real-time earnings data from partner platforms to offer no-interest, non-recourse wage advances.
- **Embedded distribution**: Deep integration into existing payroll/WFM apps drives high adoption and conversion without requiring employers to sign up separately.

## Strategic Focus
- Deepening partnerships with digital payroll, HCM, and workforce management platforms to scale EWA reach.
- Maintaining compliance leadership as the regulatory landscape evolves.
- Building out its embedded fintech engine to offer additional financial solutions (e.g., savings, credit) through the same channels.

## Why Work Here
- **Culture**: Certified Great Place to Work® (2021–2023). 100% of employees say it’s a great place to work (vs. 57% at a typical U.S. company). [greatplacetowork.com](https://www.greatplacetowork.com/en/certified-company/7026198)
- **Values**: “Take ownership,” “Listen, learn, then speak boldly,” “Adapt to make an impact,” “Find an opportunity to have fun.” [getclair.com/careers](https://getclair.com/careers)
- **Work environment**: HQ in New York City. Remote/hybrid policy not explicitly stated; open positions listed on Ashby suggest remote-friendly roles.
- **Perks/Engineering culture**: Mission-driven team building meaningful financial solutions; autonomy and end-to-end ownership; fast growth with “challenging—and rewarding” work. [getclair.com/careers](https://getclair.com/careers)
- **Recognition**: Ranked #55 Fortune Best Small Workplaces™ 2022, #41 Fortune Best Workplaces in New York™ 2023 (Small and Medium). [greatplacetowork.com](https://www.greatplacetowork.com/en/certified-company/7026198)

## Sources
1. [getclair.com](https://getclair.com/)
2. [getclair.com/careers](https://getclair.com/careers)
3. [getclair.com/about](https://getclair.com/about)
4. [jobs.ashbyhq.com/clair](https://jobs.ashbyhq.com/clair)
5. [greatplacetowork.com](https://www.greatplacetowork.com/en/certified-company/7026198)

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