Senior Data Scientist - Remote Position at Forward Financing

About the Role

We are seeking a Senior Data Scientist to join our team at Forward Financing, a leading financial technology company. This Senior Data Scientist remote position offers the opportunity to execute end-to-end data science initiatives, transforming complex data into strategic decisions and automated solutions across the organization. You will play a critical role in building and deploying advanced analytical solutions that deliver measurable impact across all business domains.

What You'll Do

• 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 with 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.

What We Offer

• Annual Salary: $153,000 - $195,000 USD.
• Annual Bonus: Potential to earn an additional 10% annual bonus.
• Comprehensive total rewards package including medical, dental, vision, commuter benefits, flexible time-off policy, paid parental leave, and 401k match for US employees.
• Wellness reimbursement, volunteering days, and annual professional development budget.
• Remote-first company culture with flexibility in work location and hours.