Principal Data Scientist - Embedded Finance
Principal Data Scientist - Embedded Finance
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Job Description
Toast is looking to expand the Data Science team to deliver new Data Science models to meet Toast Capital/Lending increased demands. As a Principal Data Scientist you will bring senior data science technical leadership with domain expertise in lending to the Capital Data Science team. An ideal candidate has wealth of experience in banking lending technology or a leading fintech company with substantial depth of expertise and knowledge in lending underwriting and risk management models.
About this roll* (Responsibilities)
- Lead the development and implementation of advanced predictive models to assess credit risk optimize lending growth and improve overall portfolio performance.
- Collaborate closely with cross-functional teams including Risk Management Product Engineering and Business Strategy to identify opportunities for leveraging data-driven insights to support growth and risk mitigation initiatives.
- Design develop and maintain innovative credit risk and lending growth strategies that align with the organizations objectives while ensuring compliance with regulatory requirements and industry best practices.
- Monitor and analyze the performance of existing models and strategies identifying areas for improvement and implementing data-driven refinements as needed.
- Present complex data-driven insights and recommendations to stakeholders in a clear concise and actionable manner while fostering a data-driven culture within the organization.
- Mentor and guide junior data scientists fostering a collaborative environment and promoting the growth and development of the data science team.
- Stay current with the latest trends and developments in data science fintech and credit risk management continually exploring new methods and technologies to enhance the organizations capabilities.
Do you have the right ingredients* (Requirements)
- Ph.D. or Masters degree in quantitative field such as Data Science Statistics Mathematics Financial Engineering or related discipline
- 7 years of experience in data science with a strong track record in credit risk modeling and lending growth strategies within the fintech lending space.
- Expertise in machine learning AI and statistical modeling techniques with a strong track record of developing and deploying successful data science models in a business setting.
- Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark Scala scikit-learn Tensorflow PyTorch XGBoost etc.
- Familiarity with standard software engineering practices and tools including object-oriented programming test-driven development CI/CD git task orchestration (Airflow) and AWS tooling
- Strong understanding of credit risk management lending practices and regulatory requirements within the financial industry.
- Excellent communication and storytelling skills with the ability to articulate complex data-driven insights to influence executive stakeholders.
- Strong leadership skills with experience mentoring and guiding junior data scientists
Bonus ingredients*:
- Passion for research and curiosity that calls you to go beyond good enough to create something innovative and exciting
- Self starter who loves to dig into different kinds of data to solve business problems and can communicate their findings to cross-functional stakeholders
Our Spread* of Total Rewards
We strive to provide competitive compensation and benefits programs that help to attract retain and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters changing needs. Learn more about our benefits at
*Bread puns encouraged but not required
#LI-REMOTE
The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary our total rewards components include cash compensation (overtime bonus/commissions if eligible) benefits and equity (if eligible).
Diversity Equity and Inclusion is Baked into our Recipe for Success
At Toast our employees are our secret ingredientwhen they thrive we restaurant industry is one of the most diverse and we embrace that diversity with authenticity inclusivity respect and humility. By embedding these principles into our culture and design we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally check out: today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process please contact .
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For roles in the United States It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Required Experience:
Staff IC
Employment Type
Full Time
