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# Applied AI Scientist

- **Company:** Zions Bancorporation
- **Location:** Midvale, UT, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Computer Programming, Customer Data Management, Extract Transform Load (ETL), Data Mining, Apache Hadoop, Apache Hive, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, SQL Databases, Tableau (Software), Pytorch, Apache Spark, Deep Learning, Generative AI, Matplotlib, Scikit Learn, Information Technology
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=99144a4589d84498

## About the Role

Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus 6+ years of related experience. Masters degree is a plus.
Strong quantitative background with applied statistics skills (distributions, hypothesis testing, regression, etc.)
Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques

Proficiency in programming and data science tools:
Languages: Python, R, or Java
Libraries/Frameworks: NumPy, Scikit-learn, PyTorch, TensorFlow
Visualization: Matplotlib, Seaborn, GGPlot, Tableau, Power BI
Experience with SQL; exposure to Hadoop, Hive, or Spark is a plus
Knowledge of ETL workflows and scheduling tools is a plus
Strong analytical, organizational, and problem-solving skills
Excellent communication and presentation skills
Ability to collaborate across teams and work independently
Banking or financial services experience is a plus
Familiarity with formal project management methodologies preferred

## Description

As an Applied AI Scientist , you will collaborate with the Enterprise Data Analytics team to analyze and model customer data, learn banking processes, and transform data into actionable insights. You will work alongside other experienced Applied AI Scientists to design and prototype solutions that leverage advanced analytics and AI techniques., Understand business and data requirements
Discover, clean, and transform data for analysis
Design and build analytical and machine learning models
Prototype and validate solutions
Perform statistical analyses and interpret results
Deliver diagnostic, descriptive, prescriptive, and predictive analytics
Explore opportunities for machine learning, deep learning, and generative AI in predictive modeling, automation, and model training
Communicate findings effectively across multiple levels of management
Other duties as assigned


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