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Tier-1 brand, metro location, popular Data Scientist title, and broad ML/LLM requirements.
Core ML/LLM engineering skills are transferable across industries, though payments domain experience is beneficial.
Explicit 6-8 year requirement plus mandatory production ML, LLM, pipeline, and tooling skills.
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Lead development of AI/ML and data science solutions using Visa's large global transaction data to solve meaningful business problems for commercial partners.
Engage directly with clients to understand challenges, analyze and extract data-driven insights, and communicate results effectively using visualizations and dashboards.
Build, assess, and deploy scalable predictive models and data products, including working with LLM-based systems and ensuring data quality and performance evaluation.
6-8 years of work experience with a Bachelor’s Degree or 4-6 years with an Advanced Degree or PhD-level experience.
Proficiency in SQL/Hive or Spark for data extraction and aggregation from large data sets.
Strong programming skills using Python, R, SQL, and/or Spark for analyzing large data sets.
Experience in AI/ML model development, implementation, and building robust, scalable pipelines including working with LLMs in a production environment.
Hybrid work model requiring at least 3 days per week in office (location details to be confirmed by hiring manager).
Experienced data scientist with a strong background in AI/ML deployment and data-driven product development in a commercial context.
Skilled in collaborating cross-functionally with data engineers, scientists, and clients to translate business problems into analytic solutions.
Comfortable working with large-scale, complex transaction data and using advanced techniques including LLMs for NLP and evaluation tasks.