AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
About the role
- Senior Data Scientist executing end-to-end data science initiatives at Forward Financing, transforming complex data into strategic decisions and automated solutions. Driving data-driven decisions across all business domains.
Responsibilities
- Design, develop and deploy advanced statistical or machine learning models related to credit risk, pricing, collections, fraud, and other high-impact business use cases that drive better data-driven decisions
- Execute the full model lifecycle, from initial data discovery and feature engineering to deployment, monitoring and iterative improvement
- Partner with cross-functional teams including Portfolio Strategy, Collections, Engineering, Product, Underwriting, and Sales to integrate models into our applications and ensure they function seamlessly
- Communicate complex technical concepts, model results, and business implications to both technical and non-technical stakeholders
- Develop production-grade code and contribute to internal toolkits, documentation, and peer code review to ensure high-quality delivery
- Build and maintain production machine learning pipelines and monitoring systems to ensure models are reliable, scalable and continuously improving
Requirements
- 5+ years of hands-on model development and deployment experience using advanced statistical and machine learning techniques such as generalized linear models, gradient boosting and deep learning
- Experience in fintech or financial services, specifically building Collections models, is highly preferred.
- Proficient in Python, SQL and Git
- Experience with workflow orchestration tools, such as Metaflow
- Experience deploying and managing models within a cloud platform (AWS, Sagemaker)
- Strong foundation in statistics and machine learning, and knowledge of experimental design
- Excellent communication skills
- Strong critical thinking and problem-solving ability
- Nice to have experience: cloud data warehouses (e.g. Snowflake, Databricks), Metaflow, Arize, Sagemaker, decision engines (e.g. Taktile), feature stores (e.g. Tecton)
- Bachelor's degree in Financial/Applied Math, Operations Research, Economics, and/or Statistics. Masters/PhD is a plus.
Benefits
- medical
- dental
- vision
- commuter benefits
- a flexible time-off policy
- paid parental leave
- 401k match for US employees
- wellness reimbursement
- volunteering days
- annual professional development budget
- charitable donation match
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