_{20th February, 2026}

Data Scientist Location: North America
Type: Permanent
At Impact Logic, we connect purpose-driven organizations with exceptional talent.
The Impact Our client is redefining payments for small businesses across North America. Built on transparency, affordability, and human-centered service, their mission is to empower merchants to grow and thrive.
This role directly supports that mission by advancing analytics and machine learning capabilities that drive smarter decision-making across fraud mitigation, credit risk assessment, growth optimization, and marketing performance.
Your work will have measurable business impact across core operational and strategic functions.
The Role Our client is seeking a Data Scientist to serve as both a hands-on technical expert and a strategic partner to the business.
You will own the full lifecycle of data products — from ideation and modeling through deployment, monitoring, and iteration. This is a production-focused role where your models will directly influence risk management, revenue growth, and customer outcomes.
You’ll join a collaborative data team spanning platform, science, and analytics, with strong visibility across the organization and meaningful opportunity to shape how data is leveraged company-wide.
What You’ll Do

• Design, develop, and deploy production-grade machine learning models
• Translate complex business problems into clear analytical frameworks
• Build fraud and credit risk models to protect merchants and the organization
• Apply analytics to optimize growth, marketing performance, and conversion rates
• Monitor deployed models and iterate based on business impact
• Partner with Data Platform teams to ensure production-quality pipelines
• Contribute to MLOps strategy and data governance best practices
• Act as a data science liaison across cross-functional stakeholders

What Success Looks Like

• Reliable, production-ready data products delivering measurable business outcomes
• Strong adoption of analytics insights across business functions
• Models that effectively mitigate fraud and optimize growth
• Clear communication of complex findings to technical and non-technical stakeholders

What You’ll Bring Required Experience

• 3–5 years of industry experience in Data Science or analytical modeling
• Demonstrated experience applying statistical or machine learning methods to business challenges
• Experience deploying and maintaining models in production environments
• Proficiency in SQL and Python
• Strong stakeholder communication and cross-functional collaboration skills

Valued Experience

• Experience in fraud modeling, credit risk, or marketing analytics
• Experience with BI tools and dashboarding (e.g., Metabase)
• Experience working with:
  
  • Google Cloud Platform (GCP)
  • BigQuery
  • dbt
  • Apache Spark or distributed computing platforms

Key Competencies

• Strong ability to translate business needs into analytical solutions
• Clear communicator of complex data insights
• Proactive mindset in fast-paced environments
• Balance between technical rigor and practical delivery
• Strong data visualization and storytelling capabilities

Why Join?

• High-growth, mission-driven FinTech environment
• Meaningful ownership and visible impact
• Collaborative, builder-oriented culture
• Accelerated learning and career growth opportunities
• Opportunity to work on complex, real-world data challenges

The Impact Logic Process Every application is reviewed by our team. Shortlisted candidates complete a structured, evidence-based interview focused on impact, capability, and ways of working.
How to Apply Apply with your resume. If your experience aligns, an Impact Logic consultant will be in touch to discuss the role and next steps.
Impact Logic is committed to building diverse teams and welcomes applications from all backgrounds.

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