Job Description

Must have 15+ year of experience in total.

Role: Lead the end-to-end development of computer vision models to automate utility asset inspections, collaborating with cross-functional teams to deliver data-driven solutions.

Key Responsibilities:

• Partner with stakeholders to scope, prioritize, and deliver high-impact modeling projects.
• Develop and optimize computer vision models (data labeling, training, evaluation).
• Perform data extraction, transformation, and feature engineering.
• Write and document Python code for machine learning pipelines.
• Present findings to technical and non-technical audiences, including leadership.
• Peer-review models and mentor junior data scientists.

Requirements:

• Education: Bachelor’s (Master’s preferred) in Data Science, CS, Engineering, Stats, or related field.
• Experience: 4+ years (2+ with Master’s) in data science, including model deployment.
• Technical Skills:
• Python, ML frameworks, and AWS (S3, SageMaker preferred).
• Strong statistical/mathematical foundation.
• Bonus: Computer vision experience (object detection, segmentation).
• Soft Skills: Ability to simplify complex concepts and drive decision-making.

Impact: Advance utility industry analytics by automating inspections for safety and efficiency.

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