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20 часов назад

Senior Data Scientist (AI)

107 900 - 183 400$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Scientist (AI): Building, deploying, and monitoring machine learning models and advanced analytics solutions for intelligent automation and insights in cloud banking with an accent on predictive modeling, large-scale data analysis, and production AI systems. Focus on translating business questions into actionable analytics, developing reliable models, and applying AI to automate tasks and improve product quality.

Location: US - Utah - Lehi

Base salary: $107,900–$183,400 per year

Company

hirify.global develops cloud banking products with intelligent automation and data-driven insights for the banking industry.

What you will do

  • Identify high-impact business challenges and opportunities with cross-functional stakeholders.
  • Analyze large and complex datasets from multiple sources to extract meaningful insights.
  • Prototype ideas, communicate trade-offs, and develop predictive modeling and advanced analytics tools.
  • Develop, deploy, and monitor complex machine learning models in production.
  • Lead teams in applying programming best practices and emerging technologies.
  • Use AI and machine learning to automate repetitive tasks, improve development efficiency, and strengthen product functionality and user experience.

Requirements

  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, plus 5+ years of related experience, or an equivalent combination of education and experience.
  • Mastery of Python or R, machine learning algorithms and techniques, and experience working with large datasets.
  • Strong experience with SQL or NoSQL and database management systems.
  • Experience deploying and monitoring models in production.
  • Experience with data visualization tools such as DOMO, AWS QuickSight, or Tableau.
  • Knowledge of production code practices, including unit testing, object-oriented programming, error handling, logging, contract testing, and version control.

Nice to have

  • Advanced degree in a related quantitative or computer science field.
  • Experience with Databricks, MLflow, and AWS services including Lambda, SageMaker, S3, Athena, and QuickSight.
  • Experience with Agile software development.

Culture & Benefits

  • Work in a high-energy, entrepreneurial environment.
  • Collaborate with technical and non-technical stakeholders in a fast-paced team setting.
  • Inclusive workplace with equal employment opportunities and reasonable accommodations for qualified individuals.

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