Senior Data Scientist, Treasury

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 .

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 seeking a technical leader (individual contributor) to drive machine learning and AI in cash flow prediction. You will create innovative models that enhance the accuracy and reliability of cash flow forecasts within the Gusto Ecosystem.

You’ll be working with an established team in Treasury, Engineering, Product, Design, and Operations. In this role, you’ll collaborate across functions to build platforms that span the entire breadth of Payments and Treasury stacks, and use data science to create a world-class, highly secure platform that enhances cash flow prediction accuracy, safeguards our users’ financial activities, and ensures unparalleled reliability. You'll functionally report into Gusto Treasury as they’ll be the team setting the direction and leveraging the modeling results to optimize our cash/cash position.

Here’s what you’ll do day-to-day:

• Build data science models and monitor model performance
• Responsible for driving research in the problem space, working with stakeholders to understand model requirements and developing the model from scratch, and monitoring and maintaining the model’s performance over time
• Perform in-depth analyses of payments and treasury data to evaluate investing or balance risk signals, build controls and strategies designed to mitigate that risk
• Partner with Treasury, Engineering, Design, and Product counterparts to solve complex cross functional problems
• Forecast daily and long term cash positions and critical variables driving balance change. Ability to define key trends/metrics impacting balances. Ability to leverage modeling for scenario analysis on key variable changes.
• Present and communicate results to stakeholders across the company

Here’s what we're looking for:

• 5+ years experience conducting statistical analyses on large datasets and deep domain knowledge in data science and machine learning.
• Proven experience in modeling using logistic regression, random forest, Xgboost or neural networks
• 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).
• Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development all the way through to deployment. Ability to differentiate variables that are critical to the model's success.
• 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 payments, banking or Fintech industry is a plus

Our cash compensation amount for this role is targeted at $135,000-$185,000/year in Denver, Chicago, and Atlanta, $155,000-$205,000/year in Los Angeles, and $160,000-$230,000/year for San Francisco, New York and Seattle. 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.

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 and a member of our team will get in touch with you.

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