Staff Machine Learning Modeler, Gusto
Payments & Risk
$170-250k
Salary is dependent on location
2-3 days a week in office
Automated payroll, benefits & HR platform
Open for applications
Automated payroll, benefits & HR platform
1001+ employees
Open for applications
$170-250k
Salary is dependent on location
2-3 days a week in office
1001+ employees
Company mission
To create a world where work empowers a better life.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
For many small businesses, vital administrative tasks such as payroll, taxes, and benefits are manual tasks that take time and energy which many SMB owners don’t have. The three co-founders of Gusto – all coming from small business backgrounds – collaborated on a Fintech company that would handle employee payments, benefits administration, and compliance support specifically for small businesses.
The company may have started slowly, as the founders focused on nailing each individual aspect of Gusto’s operations, but has now skyrocketed to unicorn status with more than 200,000 customers and a multi-billion dollar valuation. In 2021, Gusto began acquiring other companies to strengthen its offering and its position in a competitive market, including two other fintech startups, Ardius and Symmetry.
Through its continued acquisitions and fundraising efforts, the company has carved out a strong position for itself in the space. Although Gusto has found itself impacted by the macroeconomic situation, through the significant effect it has had on its clientele, the company still appears positive for the future after raising funds in 2023 that will see it reach key profitability benchmarks. It continues to consolidate its platform, for example by integrating with OpenComp to grant its users access to the company's Compensation Intelligence Platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
45% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
May 2022
$55m
SERIES E
Aug 2021
$175m
SERIES E
Total funding: $706.3m
Company benefits
- Comprehensive medical, dental, and vision benefits, plus a variety of mental health resources
- Flexible vacation - Gusties are encouraged to take the time off they need to continue doing great work
- Fertility treatments, parental leave, pregnancy termination, caregiving, gender-affirming surgery, hormone treatments, transgender-inclusive services, and more
- If you work at one of our homebases, enjoy food, drinks, and good conversation — on us
- Celebrate 5 or 10 years at Gusto and take a month off to recharge
- Take advantage of internet, phone, commuter, and wellness stipends each month, along with a WFH stipend and cash for anniversaries
Company HQ
Central Waterfront, San Francisco, CA
Leadership
Joshua Reeves
(CEO)Studied Electrical Engineering at Stanford and went onto co-found Gusto in 2011.
Tomer London
(CPO)Has a PhD in Electrical Engineering from Stanford. Was a Researcher at Intel, and then interned at Bump Technologies. Co-founded Vizmo, a mobile self-service technologies company, in 2008. Co-founded Gusto in 2011.
Edward Kim
(Head of Engineering)Studied Electrical Engineering at Stanford. Was Senior Project Engineer at Volkswagen of America Electronics Research Lab and then co-founded Picwing, a printed photos company, in 2008. Co-founded Gusto in 2011.
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