Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
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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