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Senior Data Scientist, AI/ML– Visa Consulting and Analytics

Visa

Toronto · Hybrid Full-time Senior 1mo ago
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About the role

I’m happy to help you prepare a strong application for this Senior Data Scientist role at Visa!

To make sure I give you exactly what you need, could you let me know which of the following you’d like assistance with?

  1. Tailored cover letter – a concise, compelling letter that highlights how your experience matches the key responsibilities and qualifications listed.
  2. Resume / CV edit – re‑formatting and wording your existing résumé to emphasize the most relevant skills (e.g., LLM/GenAI work, predictive modeling, big‑data pipelines).
  3. Interview preparation – common technical and behavioral questions for senior data‑science roles at Visa, plus suggested talking points.
  4. Portfolio / project showcase – guidance on how to present past projects (e.g., ML pipelines, RAG systems, agentic AI) in a way that aligns with Visa’s focus areas.
  5. Anything else – let me know any other material you’d like to polish (e.g., LinkedIn profile, executive summary, technical write‑up).

Feel free to share any existing drafts or details about your background, and I’ll tailor the content accordingly.

Requirements

  • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
  • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
  • 4+ years’ experience in data-based decision-making or quantitative analysis, including exposure to LLMs and GenAI applications
  • Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
  • Analyzing large data sets using programming languages such as Python, SQL, Hive and/or Spark
  • Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, or others
  • Experience with LLM orchestration frameworks (LangChain or similar), vector databases, and embedding models
  • Ability to present evidence-based insights and convey clear, actionable recommendations to technical and non-technical audiences

Responsibilities

  • Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
  • Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
  • Leverage AI coding tools (e.g., GitHub Copilot, Claude Code, Cline, OpenAI Codex) to accelerate development.
  • Be an out-of-the-box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face
  • Running projects from scoping to delivery, and engaging with internal/external partners
  • Develop and deploy ML pipelines, including RAG components, to deliver actionable client insights from transaction data.
  • Build agentic AI systems with multi-step reasoning, tool use, and memory for complex payment decisioning workflows
  • Implement GenAI evaluation methods covering quality, bias, and compliance.
  • Connect with clients to understand the challenges they face and convince them with data
  • Find opportunities to craft products out of analyses that are suitable for multiple clients
  • Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions
  • Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
  • Provide mentorship in modern analytic techniques and business applications, including GenAI best practices, experimentation frameworks
  • Prioritize and lead multiple data science projects with diverse multi-functional partners

Skills

Claude CodeCopilotGenAIHiveLangChainLLMOpenAI CodexPythonRAGSparkSQL

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