Job Title: Senior Data Scientist
Location: Waterloo, ON
Job Type: IT/Engineering
Expected hours per week: 44
Schedule: Morning shift; Hybrid-4 days onsite
Pay Range: $70/hr
Job Description:
Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
Key Responsibilities:
1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Desired Knowledge DevOps experience in Cloud environment. (i.e. deploy data pipelines or data-intensive applications using containerization technologies to Cloud environment through IaC) Experience in Java/C# development Web application development experience is a plus Primary Location: Waterloo
Skills Required:
Microsoft Sql Servers, ETL, Database Design, Statistics, GCP, Big Data, Big Query Roughly 5+ years for the above
Skills Preferred:
N/A
Experience Required:
Senior Specialist Exp: 7+ experience in relevant field.
Experience Preferred:
0
Education Required:
Bachelor’s Degree
Education Preferred:
Additional Safety Training/Licensing/Personal Protection Requirements:
Additional Information :
***HYBRID / 4 days per week in the office*** Desired Knowledge DevOps experience in Cloud environment. (i.e. deploy data pipelines or data-intensive applications using containerization technologies to Cloud environment through IaC) Experience in Java/C# development Web application development experience is a plus Primary Location:
Benefits: 80 hours paid time off, and medical insurance contributions, dental vision and our 401k retirement savings plan
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