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updated 9 days ago

Lead Data Scientist (AI)

180 000 - 288 000$
Work format
hybrid
Work type
fulltime
Grade
lead
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Lead Data Scientist (AI): Building and scaling data science and AI products for Visa's global payments and acceptance platforms with an accent on data quality, predictive analytics, governance, and operational excellence. Focus on designing complex data models and ETL pipelines, solving large-scale data challenges, and leading secure, privacy-compliant platform transformation.

Location: Bellevue, Washington, United States; hybrid with at least 3 days in the office. The role requires 5–10% travel.

Salary: $180,000–$288,000 USD per year, with potential bonus, equity, and sales incentive payments where applicable.

Company

hirify.global is a global payments technology company developing secure payment solutions and platforms for consumers, merchants, financial institutions, and government entities.

What you will do

  • Lead the development and delivery of scalable data science and AI products for hirify.global Acceptance and Intelligent Commerce platforms.
  • Define technical frameworks, coding standards, reusable patterns, and methodologies while mentoring engineers and data scientists.
  • Lead data extraction, wrangling, modeling, quality, completeness, and governance initiatives.
  • Build and guide predictive analytics, AI/ML models, metrics, and data-driven insights.
  • Partner with product owners, business stakeholders, and Cybersecurity to clarify requirements and system dependencies.
  • Identify platform trends and define roadmaps for upgrades, security remediation, and transformation initiatives.

Requirements

  • 10+ years of work experience with a bachelor's degree, 8+ years with an advanced degree, or 3+ years with a PhD.
  • Experience building AI/ML-powered models for predictive analytics and insights.
  • Experience with data technologies such as Hadoop, Hive, Kafka, Redis, NoSQL, and RDBMS.
  • Experience designing, implementing, and maintaining ETL pipelines, data analysis, metrics, and evaluation.
  • Experience with big data and analytics technologies including Hadoop, Spark, Flink, and MapReduce.
  • Ability to work in a hybrid office setting in Bellevue, with at least 3 days in the office.

Nice to have

  • 12+ years of experience with a bachelor's degree, 8–10 years with an advanced degree, or 6+ years with a PhD.
  • Experience leading global teams and platform transformation efforts in the payments industry.

Culture & Benefits

  • Work on AI transformation and payment products serving customers globally.
  • Collaborate across engineering, product, business, and cybersecurity functions.
  • Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness programs.
  • Work hours vary according to department needs.

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