Staff Machine Learning Enginer
Toronto, Los Angeles, Denver
$170,000 - $250,000/yearly
Mid Level
Top Benefits
Comprehensive medical, dental, vision, and mental health coverage
Flexible vacation policy
Fertility treatments and parental leave
About the role
Who you are
- 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, 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
- 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
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
About Gusto
Software Development
1001-5000
Launched in 2011 as ZenPayroll, Gusto serves more than 300,000 businesses nationwide. Each year we process tens of billions of dollars of payroll and provide employee benefits—like health insurance and 401(k) accounts—while helping companies create incredible work places.
Through one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.
Staff Machine Learning Enginer
Toronto, Los Angeles, Denver
$170,000 - $250,000/yearly
Mid Level
Top Benefits
Comprehensive medical, dental, vision, and mental health coverage
Flexible vacation policy
Fertility treatments and parental leave
About the role
Who you are
- 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, 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
- 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
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
About Gusto
Software Development
1001-5000
Launched in 2011 as ZenPayroll, Gusto serves more than 300,000 businesses nationwide. Each year we process tens of billions of dollars of payroll and provide employee benefits—like health insurance and 401(k) accounts—while helping companies create incredible work places.
Through one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.