Senior Data Scientist

Senior Data Scientist – Build & Deploy Machine Learning Models That Power Financial Decisions
Agilus by Synergie is recruiting for a Senior Data Scientist in the FinTech industry.
This Senior Data Scientist role offers the opportunity to own machine learning models from concept to production within a growing fintech environment. You'll design, build, deploy, and monitor models that support critical financial products, helping drive smarter risk decisions, richer financial insights, and improved customer experiences. Ideal for a hands-on data scientist who enjoys combining advanced analytics, machine learning, and software engineering to deliver measurable business impact.
Responsibilities:

• Design, develop, and deploy machine learning models into production environments
• Create training pipelines and package models for scalable deployment
• Monitor model performance, drift, and quality across production systems
• Conduct statistical validation, experimentation, and champion-challenger testing
• Collaborate with Data Engineering, Product, QA, and Engineering teams on model integration
• Define technical specifications, model design documentation, and evaluation frameworks

Requirements:

• Bring 6–8 years of experience building and deploying machine learning models
• Demonstrate expert-level Python programming skills in production environments
• Design and manage end-to-end ML lifecycles from training through monitoring
• Apply strong knowledge of statistical analysis, model evaluation, and experimentation
• Work with modern machine learning frameworks and cloud-based environments
• Build scalable model-serving solutions and production APIs

Total rewards:

• $140000.00 - $160000.00 annually
• Health and dental coverage from day one
• Flexible paid time off to support work-life balance
• Remote-first work environment with regular team gatherings
• Opportunity to own machine learning models end to end
• Work with modern cloud-native AI and data platforms

Soft skills:

• Communicate complex analytical concepts clearly to technical and business audiences
• Take ownership of outcomes and drive initiatives from ideation through deployment
• Collaborate effectively across Data Science, Engineering, Product, and QA teams
• Approach problems with curiosity, critical thinking, and a data-driven mindset

This posting is for an active opening.
Interested?
Please apply directly online

Agilus by Synergie would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview.
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