Senior Data Scientist

Forward Financing•Boston, MA

50d•$153,000 - $195,000•Remote

About The Position

Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican Republic, and Canada. The company is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is investing in its employees, technology, and customer experience – with long-term success in mind every step of the way. We are seeking a Senior Data Scientist to execute end-to-end data science initiatives, transforming complex data into strategic decisions and automated solutions across the organization. In this role, you will combine advanced modeling skills with a deep understanding of the business needs to build, deploy and scale advanced analytical solutions that deliver measurable impact across all business domains at Forward Financing.

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
Bachelor's degree in Financial/Applied Math, Operations Research, Economics, and/or Statistics. Masters/PhD is a plus.

Nice To Haves

cloud data warehouses (e.g. Snowflake, Databricks)
Metaflow
Arize
Sagemaker
decision engines (e.g. Taktile)
feature stores (e.g. Tecton)

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