Senior/Staff Data Scientist, Clair

Salary not provided
AWS
Python
R
Tensorflow
NLTK
SpaCy
Snowflake
Keras
Sagemaker
Senior and Expert level
New York

3+ days a week in office

Clair

Wage advance service

Open for applications

Clair

Wage advance service

21-100 employees

FintechB2BPersonal financeSaaSSocial Impact

Open for applications

Salary not provided
AWS
Python
R
Tensorflow
NLTK
SpaCy
Snowflake
Keras
Sagemaker
Senior and Expert level
New York

3+ days a week in office

21-100 employees

FintechB2BPersonal financeSaaSSocial Impact

Company mission

To create financial freedom for America’s workforce.

Role

Who you are

  • 8+ years of work or educational experience in data science and machine learning
  • Proven leadership of data science projects from conception to delivery
  • Proven track record of delivering on products and/or practical research endeavors
  • Experience publishing code to production-level repositories
  • Experience in risk assessment and predictive modeling
  • Experience with large transaction-based datasets
  • Experience with Python is required, R is a plus
  • Experience with Snowflake or similar data warehouse systems is a plus
  • Experience with AWS SageMaker, Lambda, and other AWS tooling is a plus
  • Experience with spaCy, NLTK, or HuggingFace libraries is a plus
  • Experience with Tensorflow, Torch, Keras or similar libraries is a plus
  • Experience with a range of open-source and commercially available LLMs is a plus

What the job involves

  • As a Senior/Staff Data Scientist on Clair’s data team, you’ll be responsible for developing and maintaining critical components of Clair’s loan underwriting engine
  • The methodologies you develop and apply will directly shape how millions of hourly workers unlock an untapped credit source: their earned wages
  • We're looking for a Senior/Staff Data Scientist who is excited to manage the tradeoff between accuracy and explainability and build highly predictive models for loan eligibility and limits that are easily understood by hourly workers
  • To succeed in this role, you’ll need a deep technical understanding of data science concepts and machine learning
  • You’ll also need to be comfortable building prototypes of novel methodologies from scratch and deploying models to a production environment
  • You should also have a depth of knowledge and experience with financial technology and modeling, particularly underwriting, credit risk scoring, and repayment timing optimization
  • Create new algorithms and predictive models to assess risk and underwrite loans
  • Collaborate with engineering teams to deploy models to a production environment
  • Communicate about algorithms and their business value to technical and non-technical audiences
  • Build supervised and unsupervised learning systems to glean insight from our wide variety of data sources
  • Lead cross-discipline projects fostering collaboration between product, software engineering, data engineering, and data science teams
  • Create prototypes to expose algorithms to stakeholders for gathering research feedback
  • Design research frameworks to capture and evaluate results

Our take

Clair is a social impact fintech startup offering instant no-fee pay access, so that gig companies and HR tech can offer hourly workers cash advances on their earnings. It aims to both mitigate the risks taken on by workers in the growing gig economy, and help gig companies recruit and retain their workforce in a market characterized by fluctuating demand.

Clair secured a high level of funding from Thrive Capital, a big win given their reputation for funding and building game-changing fintech. This is a game that certainly looks set to change - with 80 million hourly workers and 60 million gig workers, this precariously positioned segment of the US workforce is both large and growing.

Mastercard, MetaBank, and Galileo have all thrown their weight behind Clair to provide the financial infrastructure that makes their payment model possible. Following the recent surge in the gig economy, Clair offers both an attractive and necessary tool to sustain the livelihoods of the people working in this sector.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

10% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Jul 2023

$25m

EARLY VC

Jun 2021

$15m

SERIES A

Total funding: $45.1m

Company benefits

  • 100% Medical, Dental, & Vision Coverage, with option to extend to your family
  • Fully-paid parental leave
  • Company-sponsored 401k, HSA, and FSA
  • Unlimited vacation
  • Work from home setup allowance
  • Access to your earnings every day on Clair
  • Company-sponsored short-term and long-term disability insurance

Company values

  • Focus on What Matters
  • Bring Others Along
  • Adapt to Make an Impact
  • See Feedback as a Gift
  • Take Ownership
  • Listen, Learn, then Speak Boldly
  • Never Miss an Opportunity to Have Fun

Company HQ

Flatiron District, New York, NY

Leadership

Alex worked at Deloitte for 6 years, spending time in strategy and operations consulting before co-founding Clair.

Nico worked in Fintech M&A at J.P. Morgan and is part of the Finance Council for Forbes.

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