Remote Senior Data Scientist: AI & ML for FinTech Growth

Zip Co Limited; Oregon; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Zip Co Limited is seeking a Senior Data Scientist II to translate complex data into actionable product insights. You will design and refine models using bank transaction data to unlock new capabilities, balancing risk, growth, and long-term opportunities in a remote-first environment.

You will collaborate with data science, analytics, and engineering teams to push the boundaries of ML, experiment with AI-centric approaches, and deliver scalable solutions aligned with business goals in production

Qualifications

• Advanced degree (PhD preferred) in a quantitative field (e.g., Mathematics, Physics, CS).
• 5+ years of experience in Data Science (can include PhD work).
• 2+ years of experience with data relevant to Financial Services.
• Self-starter with strong problem-solving and research skills; able to work independently to drive solutions.
• Solid grasp of machine learning concepts and experimentation.

Responsibilities

• Own assigned modeling solutions end-to-end, from development through production monitoring.
• Communicate findings, recommendations, and tradeoffs with business stakeholders.
• Design, build, evaluate, and iterate AI/ML models leveraging bank transaction data.
• Rapidly experiment and provide proofs of concept for testing and refinement.
• Collaborate with Data and ML Engineering teams to ensure production readiness.

Skills

Data science

Problem solving

Independent work

Stakeholder communication

Education

PhD preferred in quantitative field

Job description

Zip Co Limited is seeking a Senior Data Scientist II to translate complex data into actionable product insights. You will design and refine models using bank transaction data to unlock new capabilities, balancing risk, growth, and long-term opportunities in a remote-first environment.

You will collaborate with data science, analytics, and engineering teams to push the boundaries of ML, experiment with AI-centric approaches, and deliver scalable solutions aligned with business goals in production