Job Description
CDM Smith is seeking a Intermediate Data Scientist to enhance the capabilities of the Analytics team in Predictive Modelling and Computer Vision. This individual will have the opportunity to work alongside talented and innovative team members to drive Analytics initiatives that are transformative to CDM Smith. Under light supervision, this individual gathers data, creates Predictive Models and custom solutions.
Primary responsibilities:
• The individual will apply Machine learning algorithms and techniques.
• Ability to apply a broad range of algorithms to varied data science problems including but not limited to Predictive Analytics, Computer Vision and Text Analytics.
• Experience with supervised and unsupervised learning as well as extensive experience with Data Science languages like Python and R.
• Design meaningful visualization using Qlik, Tableau or other tools.
• Enhance Data collection procedures to include information that is relevant to building analytics systems.
Data Science Skills:
• Python, R, Deep Learning Neural Networks
• Traffic Analysis using Computer Vision and AI.
• Exposure to Azure AI or AWS Machine Learning Modules a plus.
• Ability to write SQL queries as well as logical scripts.
Nice to have skills:
• OpenCV
• Caffe2
• Azure Custom Vision
• YOLO3
Minimum Qualifications:
• Graduate degree (M Tech or PhD) with a specialization on computer vision, machine learning, data analysis is strongly preferred.
• 3+ years of related experience- including delivering Predictive Analytics/Custom Vision solutions.
• Some experience with Analytics/Business Intelligence tools such as Qlik, Birst, Tableau, Power BI, Spotfire, or comparable products.
• Ability to create data visualizations and transform concepts into fully realized production applications.
• Ability to learn the business and develop relationships that enhance the value of the Business Technology (IT).
• Ability to manipulate SQL queries

Minimum Qualifications
Bachelor's Degree. 3 years of related experience. Equivalent additional directly related experience will be considered in lieu of a degree. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.