About Gusto
Gusto is a modern, online people platform that helps small businesses take care
of their teams. On top of full-service payroll, Gusto offers health insurance,
401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver,
San Francisco, and New York serve more than 400,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it
starts right here at Gusto. That’s why we’re committed to building a
collaborative and inclusive workplace, both physically and virtually. Learn more
about our Total Rewards philosophy
[https://gusto.com/about/careers/total-rewards].
About the Role:
Gusto’s Data Science team leverages Gusto’s rich dataset to guide product
direction and decision-making. We operate full-stack, conducting analyses,
prototyping and deploying predictive models and statistical tools both for
internal use and for our customers.
For this role, we are looking for a technical leader (an individual contributor)
to drive machine learning and AI in the payment and risk domains. You will
build a model-driven risk platform to provide a trusted environment for Gusto
Ecosystem.
You’ll be working with an established team and seasoned payments and risk
leaders in Engineering, Product, Design, Operation, Identity and Compliance. In
this role, you’ll work cross functionally to build Platforms that span the
entire breadth of the Payments and Risk Stacks, and use ML and AI to build a
world- class, high secure platform that safeguards our users’ activities and
money, and ensures unparalleled reliability.
Here’s what you’ll do day-to-day:
- Build and deploy machine learning models to identify, assess and mitigate
risks
- Responsible for driving research in the problem space, working with
stakeholders to understand model requirements, developing the model from
scratch, deploying the model alongside your engineering counterparts, and
monitoring and maintaining the model’s performance over time
- Partner with Engineering, Design, and Product counterparts in Payment and
Risk to solve complex cross functional problems
- Develop scalable frameworks and libraries that enhance and contribute to the
team’s core analysis and modeling capabilities, including through the
integration of LLMs to improve data processing, analysis, and insights.
- Identify new opportunities to leverage data to improve Gusto’s products and
help risk management team to understand business requirements and develop
tailored solutions
- Present and communicate results to stakeholders across the company
Here’s what we're looking for:
- 8+ years of experience conducting statistical analyses on large datasets and
deep domain knowledge in machine learning and artificial intelligence,
including familiarity with Large Language Models (LLMs) and their
applications. This could mean either a MS or PhD in a quantitative field with
at least 5 years experience in a business environment, or BS or Data Science
Bootcamp graduate with at least 8 years of experience working as a data
scientist or a machine learning engineer in a business setting.
- Proven experience in credit risk modeling or fraud risk modeling using
logistic regression, random forest, Xgboost or neural networks, along with a
strong understanding of AI-based approaches and the potential of LLMs to
enhance traditional models.
- Experience applying a variety of statistical and modeling techniques using
Python, R or another statistical modeling language, as indicated by
familiarity with many of the following techniques - predictive modeling,
anomaly detection, ensemble methods, natural language processing (NLP,
optional). Basic understanding of LLMs and their applications.
- Strong programming skills - comfortable with all phases of the data science
development process, from initial analysis and model development to
deployment
- Excellent communication skills - able to effectively deliver findings and
recommendations to non-technical stakeholders in a clear and compelling
fashion
- PhD or Masters plus equivalent experience in a quantitative field is a plus
- Experience in the Fintech industry is a plus
Our cash compensation amount for this role is targeted at $170,000 - $205,000 in
Denver, $185,000- $225,000 in Los Angeles, $220,000 - $270,000 for San
Francisco, New York, and Seattle, and $185,000 - $225,000 CAD for Toronto,
Canada. Final offer amounts are determined by multiple factors including
candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City.
Employees who are based in those locations will be expected to work from the
office on designated days approximately 2-3 days per week (or more depending on
role). The same office expectations apply to all Symmetry roles, Gusto's
subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and
San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure,
reliable, and consistent internet connection is required. This includes
non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people
from a wide variety of backgrounds, not just because it's the right thing to do,
but because it makes our company stronger. If you share our values and our
enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in
hiring or any employment decision based on race, color, religion, national
origin, age, sex (including pregnancy, childbirth, or related medical
conditions), marital status, ancestry, physical or mental disability, genetic
information, veteran status, gender identity or expression, sexual orientation,
or other applicable legally protected characteristic. Gusto considers qualified
applicants with criminal histories, consistent with applicable federal, state
and local law. Gusto is also committed to providing reasonable accommodations
for qualified individuals with disabilities and disabled veterans in our job
application procedures. We want to see our candidates perform to the best of
their ability. If you require a medical or religious accommodation at any time
throughout your candidate journey, please fill out this form
[https://docs.google.com/forms/d/e/1FAIpQLSdEfl7Bp-Twz7LLlhGlha46CrxZ9Kacgakmarf3K2TbnaEgKQ/viewform]
and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously.
Please review our Fraudulent Activity Disclaimer
[https://gusto.com/about/careers/fraudulent-activity-disclaimer].
Personal information collected and processed as part of your Gusto application
will be subject to Gusto's Applicant Privacy Notice
[https://gusto.com/about/careers/applicant-privacy-notice].
