Data Scientist, Computer Vision

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Requirements:

• 3+ years of experience in the commercial space or other demonstration of ability solving real-world computer vision problems.
• MS in data science or related field.
• Ability to independently source data, formulate problems and test solutions in the modeling and optimization domain.
• Proficiency with utilizing and deploying machine learning models.
• Expertise in Python, including work with data science libraries such as Numpy, Pandas, scikit-image.
• Experience with reviewing literature and summarizing learnings.
• Broad experience with multiple computer vision libraries in Python.
• Expertise with extracting data via query languages and from object storage buckets.
• Excellent verbal and visual communication skills, specifically with an aptitude for conveying data insights visually.
• Ability to work with teams across the organization to understand challenges and data sources.
• Ability to work with data and software engineers to support maintenance of robust data sources and to develop infrastructure for routine use of models.

Responsibilities:

• Work closely with stakeholders across the organization to understand where data can be used to optimize systems or gain new knowledge.
• Maintain current knowledge of data science methodologies and advise on which is most appropriate to a given need or knowledge gap.
• Develop novel machine learning approaches.
• Perform literature reviews and assessments of the current state of technology for different applications.
• Work with data engineers to encode algorithms into robust pipelines for routine use.
• Prototype tools to display and communicate with data.
• Work with data engineers to develop systems for routine training, testing and deployment of models.
• Brainstorm novel insights and new ways to leverage data.