Principal Data Scientist
Forward Financing · Remote · Remote - United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Principal level role
- Flexible remote work
- Fintech & lending focus
- Python, SQL, AWS
- Credit risk modeling
As the most senior individual contributor on the data science team, you will shape the multi-year roadmap and serve as a technical advisor to leadership. You will drive complex initiatives from concept to production, partnering with cross-functional leaders to influence business strategy through advanced analytics.
The role involves designing scalable modeling ecosystems for underwriting and risk while mentoring team members. You will establish organization-wide standards for model development and ensure solutions deliver measurable business impact across all domains.
What you'll do
- Lead design and deployment of complex statistical and ML models
- Drive end-to-end delivery of flagship data science initiatives
- Define technical strategy for credit risk and pricing ecosystems
- Partner with senior leaders to shape the data science roadmap
- Enforce standards for model validation, code quality, and docs
- Mentor data scientists at all levels to raise technical bar
- Communicate technical tradeoffs to executives and stakeholders
- Architect production ML pipelines and monitoring frameworks
What you'll need
- Deep experience building credit risk and underwriting models
- 10+ years hands-on model development and deployment experience
- Expert proficiency in Python, SQL, and Git
- Experience deploying models on cloud platforms like AWS
- Strong foundation in statistics and machine learning techniques
- Ability to influence technical direction and mentor seniors
- Excellent project management and executive communication skills
- Bachelor's degree in Math, Economics, Statistics or related field
Nice to have
- Experience with real-time models and decisioning engines
- Knowledge of workflow orchestration tools like Metaflow
- Familiarity with Snowflake, Databricks, or Arize
- Experience with feature stores such as Tecton
- Masters or PhD in relevant quantitative field
Stack
- Python
- SQL
- Git
- AWS
- SageMaker
- Metaflow
- Snowflake
- Databricks
- Arize
- Taktile
- Tecton
How you'll work
- Employee Choice policy allows remote, office, or hybrid work
- Flexible hours prioritized over specific location
- Team members located in US, Dominican Republic, and Canada
What you get
- Medical, dental, vision, and commuter benefits
- Flexible time-off policy and paid parental leave
- 401k match for US employees
- Wellness reimbursement and volunteering days
- Annual professional development budget
- Charitable donation match program