Data Scientist – LLM Pipelines
Gorgias
PythonSQL
Staff Machine Learning Engineer, Risk
Gusto
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California, Colorado, New York, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $250,000 per year
Job Level
Lead
Tech Stack
Python
About the role
- 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 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
- Build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem
Requirements
- 8+ years experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning.
- Proven experience in the credit risk modeling or fraud risk 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 (predictive modeling, anomaly detection, ensemble methods, 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
- 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
Benefits
- Health insurance
- 401(k)s
- Expert HR and team management tools
- Hybrid work schedule (approximately 2-3 days per week in-office for Denver, San Francisco, New York)
- Reasonable accommodations for qualified individuals with disabilities and disabled veterans
- Inclusive workplace and equal opportunity employment
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical analysiscredit risk modelingfraud risk modelinglogistic regressionrandom forestXgboostneural networksPythonR
Soft skills
communicationstakeholder engagementproblem-solvingcollaborationpresentation skills
Certifications
PhDMasters
Similar jobs on JobTailor
Senior Manager, Marketing Mix Modeling and Advanced Analytics
Yum! Center for Global Franchise Excellence
PythonScikit-LearnSQL
Tech Lead – GenAI Initiatives
TransPerfect
JavaJavaScriptPython
Lead Data Scientist, Devices
Life360
CloudPandasPythonScikit-LearnSparkSQL
Manager/Senior Manager - Recommendation Systems
Tiger Analytics
NumpyPySparkPythonPyTorchScikit-LearnSQLTensorflow