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Forward Financing logo
Forward Financing

A trusted source of fast, flexible funding for small businesses.

Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteSeniorTeam 201-500Since 2012H1B No SponsorCompany SiteLinkedIn

Location

Canada

Posted

120 days ago

Salary

$153K - $195K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSCloudPythonSQL

Job Description

Senior Data Scientist

Forward Financing

• 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

Job 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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