
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