Lead Data Scientist
Forward Financing · Remote · Remote - Alberta, Canada · Remote - Ontario, Canada ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Lead Data Scientist
- Fully remote (North America)
- Fintech / Lending focus
- Python + SQL + AWS
- Mentorship role
Join Forward Financing as a Lead Data Scientist to transform complex data into strategic decisions and automated solutions. You will design advanced machine learning models for credit risk, pricing, and fraud, partnering with cross-functional teams to integrate these tools into production applications. This role balances high-level technical execution with business partnership to deliver measurable impact across the organization.
What you'll do
- Design and deploy ML models for credit risk, pricing, collections, and fraud detection
- Lead end-to-end delivery of data science projects from framing to monitoring
- Partner with Engineering, Product, and Underwriting to integrate models into apps
- Define standards for model development, code quality, and documentation
- Mentor team members and foster a culture of rigorous analytical standards
- Communicate technical concepts and business implications to stakeholders
- Build and maintain production ML pipelines and monitoring systems
What you'll need
- 8+ years of experience in model development and deployment
- Expertise in Python, SQL, and Git
- Strong foundation in statistics, machine learning, and experimental design
- Experience deploying models on cloud platforms like AWS or Sagemaker
- Bachelor's degree in Math, Economics, Statistics, or related field
- Excellent project management and communication skills
- Deep experience in credit risk or underwriting models preferred
Nice to have
- Experience with workflow orchestration tools like Metaflow
- Knowledge of cloud data warehouses such as Snowflake or Databricks
- Familiarity with decision engines like Taktile or feature stores like Tecton
- Experience with real-time models and production-grade ML pipelines
- Master's or PhD in a quantitative field
Stack
- Python
- SQL
- Git
- AWS
- Sagemaker
- Metaflow
- Snowflake
- Databricks
- Arize
- Taktile
- Tecton
How you'll work
- Remote-first company with flexible hours
- Employees can work from home, office, or hybrid
- Team members located in US, Canada, and Dominican Republic
- Office locations available for in-person collaboration
What you get
- Annual salary range $172,000 - $237,000 CAD
- Potential annual bonus of up to 12%
- Medical, dental, and vision insurance
- Flexible time-off policy and paid parental leave
- RRSP match and wellness reimbursement
- Annual professional development budget
- Volunteering days and charitable donation match