Senior Machine Learning Modeler, Treasury
Senior Machine Learning Modeler, Treasury
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$ 153000 - 189000
1 Vacancy
Job Description
About Gusto
Gusto is a modern online people platform that helps small businesses take care of their teams. On top of fullservice 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 400000 businesses nationwide.
Our mission is to create a world where work empowers a better life and it starts right here at Gusto. Thats why were committed to building a collaborative and inclusive workplace both physically and virtually. Learn more about our Total Rewards philosophy.
About the Role:
Gustos Data Science team leverages Gustos rich dataset to guide product direction and decisionmaking. We operate fullstack 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.
Youll be working with an established team in Treasury Engineering Product Design and Operations. In this role youll collaborate across functions to build platforms that span the entire breadth of ML stacks leveraging ML and AI to create a worldclass highly secure platform that enhances cash flow prediction accuracy safeguards our users financial activities and ensures unparalleled reliability. Youll functionally report into Gusto Treasury as theyll be the team setting the direction and leveraging the modeling results to optimize our cash/cash position.
Heres what youll do daytoday:
- Build and deploy machine learning models and monitoring model performance
- 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 models performance over time
- 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
Heres what were looking for:
- 5 years experience conducting statistical analyses on large datasets and deep domain knowledge in 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 models success.
- Excellent communication skills able to effectively deliver findings and recommendations to nontechnical 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 $140000$174000/year in Denver Chicago and Atlanta $153000$189000/year in Los Angeles and $170000$210000/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 23 days per week (or more depending on role). The same office expectations apply to all Symmetry roles Gustos 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 its 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.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Required Experience:
Senior IC
Employment Type
Full-Time
