Principal Data Scientist - Embedded Finance
Job Summary
Job Description
- Ph.D. or Master's in a quantitative field
- 7+ years of data science experience in fintech lending
- Expertise in machine learning, AI, and statistical modeling
- Proficiency in Python and SQL
- Familiarity with data science libraries (Spark, scikit-learn, etc.)
- Understanding of credit risk management and financial regulations
- Excellent communication and leadership skills
- Passion for research and innovation
- Self-starter with ability to solve business problems
- Competitive compensation and benefits
- Opportunities for professional growth and development
Job Details
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 organization's 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 organization's capabilities.
Do you have the right ingredients*? (Requirements)
- Ph.D. or Master’s 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 https://careers.toasttab.com/toast-benefits.
*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 ingredient—when they thrive, we thrive. The 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: https://careers.toasttab.com/locations-toast.
Apply 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 candidateaccommodations@toasttab.com.
------
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.
Similar Jobs
Looks like we're out of matches
Similar Skill Jobs
Looks like we're out of matches
Jobs in United States
Looks like we're out of matches
Data Analysis Jobs
Looks like we're out of matches
