Guild Mortgage

AI Analyst

Guild Mortgage

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $80,000 - $120,000 per year

About the role

  • Collaborate with Data scientists, AI engineers, Data Engineers, and business teams to design and implement AI solutions.
  • Participate in the development lifecycle from concept through user acceptance and deployment.
  • Serve as a bridge between technical and non-technical teams.
  • Partner with key stakeholders to assist with AI-related issues.
  • Identify and define business problems and opportunities that can be addressed by AI solutions.
  • Document problems into a set of business requirements that can be outlined in user stories.
  • Participate in stakeholder reviews and design sessions.
  • Monitor and evaluate the performance and impact of the AI solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
  • Minimum of 5 years of related data analyst experience, 3 years of which experience is related to working with artificial intelligence.
  • Hands on Experience working with Python for analysis and troubleshooting.
  • Proficiency in other programming languages such as Java, R, or Scala.
  • Familiar with AI tools, frameworks, and platforms such as TensorFlow, PyTorch, Keras, Scikit-learn, AWS, Azure, or similar.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Expertise in eliciting requirements from the business and converting the requirements into user stories with appropriate acceptance criteria.
Benefits
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • AD&D insurance
  • Long-term disability
  • 401(k) with employer match
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaRScalaTensorFlowPyTorchKerasScikit-learnAI solutionsdata analysis
Soft Skills
analytical skillsproblem-solving skillscommunication skillspresentation skillscollaborationstakeholder managementrequirement elicitationuser story developmentbridging technical and non-technical teamsmonitoring and evaluation