Senior Data Scientist
San Francisco, CA
With millions of customers trusting PayJoy, it’s increasingly important that our apps and services operate with integrity and high availability while keeping our customers' data confidential.
You will collaborate with Risk and Fraud teams along with other data scientists at PayJoy to identify value in our data across modelling use cases. You will incorporate that signal into the data features that you will construct and into the machine learning models that you will develop and deploy. As PayJoy expands to new geographies with different data sources and new products with different customer risks, this is an opportunity to touch every aspect of the model development lifecycle.
You are excited to be a part of an early-stage data science team on a mission to improve access to credit and technology in emerging markets. You are eager to learn about the intersection of machine learning and financial credit. You want to develop data features and machine learning models that allow us to confidently predict customer risk.
Founded in 2015, today PayJoy has reached millions of customers in a dozen countries around the globe, including Mexico, Brazil, India, Kenya, and South Africa, and is on a strong growth path with support from major industry partners to bring credit to millions in the near future.
PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
PayJoy PrinciplesFinance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed
You will collaborate with Risk and Fraud teams along with other data scientists at PayJoy to identify value in our data across modelling use cases. You will incorporate that signal into the data features that you will construct and into the machine learning models that you will develop and deploy. As PayJoy expands to new geographies with different data sources and new products with different customer risks, this is an opportunity to touch every aspect of the model development lifecycle.
You are excited to be a part of an early-stage data science team on a mission to improve access to credit and technology in emerging markets. You are eager to learn about the intersection of machine learning and financial credit. You want to develop data features and machine learning models that allow us to confidently predict customer risk.
Responsibilities
- Collaborate with expert business partners to translate the potential of our data into concrete value
- Construct data features to feed into the machine learning models that you will build
- Improve model performance by taking successful aspects of a model and applying those learnings to other models
Requirements
- There are no firm requirements for your background, as there are many different successful paths into the PayJoy data science team. It is likely one or more of the following describes your experience:
- 3+ years of industry experience developing and deploying machine learning models
- 5+ years of industry experience primarily working with data (for example as a data scientist, software engineer, data engineer, analyst, or other technical role)
- Fluent in both Python and SQL
- Formal academic training in machine learning
Benefits
- Company-funded health, dental, and vision insurance for employee and immediate family
- Company-funded employee life and disability insurance
- 401k contribution
- Company holidays; 15 days of vacation (20 at 3rd year); unlimited sick leave
- Annual fitness benefit ($500); professional development benefit ($2000), and international travel benefit ($2000)
- Commuter benefit
- Headphone benefit
Founded in 2015, today PayJoy has reached millions of customers in a dozen countries around the globe, including Mexico, Brazil, India, Kenya, and South Africa, and is on a strong growth path with support from major industry partners to bring credit to millions in the near future.
PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
PayJoy PrinciplesFinance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Machine Learning ML models Python SQL
Perks/benefits: 401(k) matching Career development Health care Insurance Medical leave Startup environment Unlimited paid time off
Region:
North America
Country:
United States
Job stats:
4
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0
Category:
Data Science Jobs
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