Data Scientist
at FGF Brands
GTA, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 15 Jul, 2024 | Not Specified | 16 Apr, 2024 | 5 year(s) or above | Manufacturing,Data Analysis,Object Detection,Neural Networks,Data Visualization,Machine Learning,Python,Programming Languages | No | No |
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Citizen | GC |
US Citizen | Student Visa |
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OPT | H4 Spouse of H1B |
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Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
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Description:
Job Description:
SUMMARY
As a level 2 Data Scientist at FGF Brands you will have the unique opportunity to work alongside experienced data scientists on real-world projects that directly impact our business. This role is designed to provide hands-on experience and exposure to various aspects of data science, including data analysis, machine learning, and computer vision. At FGF Brands our goal is to leverage our technological strength, giving us the competitive advantage over our competition and continue our journey to become the world’s greatest baker. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI.
REQUIRED EXPERIENCE
2-5+ years of experience in machine learning, data analysis and data visualization
Education in engineering or analytical fields, Master degree is preferred
- Possesses a strong foundation in programming languages like python and common data analysis packages (Tensorflow, Pytorch, etc.)
- Has a working knowledge of computer vision techniques applicable to manufacturing, such as image classification (e.g., convolutional neural networks - CNNs), and object detection (e.g., YOLO models).
- Tech-savvy, autonomous, eager to learn, comfortable working in fast paced environments.
Responsibilities:
- Working closely with data science team researching on the latest technologies and state of the art AI and computer vision models with the goal of importing them into manufacturing industry.
- Understand business requirements and develop AI driven solutions addressing those requirements.
- Help with data collection from various automated and manual processes.
- Analyze structured and unstructured data from various data sources, clean data, transform raw data into business insights by building ETL pipelines and visualization dashboards.
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Analytical, Engineering
Proficient
1
Greater Toronto Area, ON, Canada