Job Posting Status: Approved

Job Posting Information
Job Type: Full Time Immediate
Job Title: Data Scientist (Mitacs Research Opportunity)
Occupation: Research & Development
Job Description: About Mitacs
Mitacs Accelerate is Canada's premiere research internship program. It connects companies with over 50 research-based universities through undergraduate students, graduate students and postdoctoral fellows, who apply their specialized expertise to business challenges.
Supervisors
This job opportunity is financially supported by Mitacs (https://www.mitacs.ca/en/programs/accelerate) and jointly supervised by Professor Periklis Andritsos (http://www.cs.toronto.edu/~periklis/) and Arima (https://arimadata.com/).
About the Project
A synthetic dataset is a data object that is generated programmatically, and it may be valuable to creating a single dataset from multiple sources when direct collection is difficult (e.g., for data privacy reasons) or costly (e.g., conducting extensive surveys across multiple geographies). Although it is a fundamental step for many data science tasks, an efficient and standard framework is absent.
In this project, we study a specific synthetic data generation task called downscaling, a procedure to infer high-resolution, harder-to-collect information (e.g., individual level records) from many low-resolution, easy-to-collect sources. The goal of the project is to develop a Deep Learning based synthetic data generation technology used to generate data by leveraging the knowledge of the low-resolution sources, with the capability of creating an accurate representation of Canadian and global population data from many aggregated and anonymized sources while ensuring the data meets data privacy regulations.
Job Qualifications: About the Role
  • Review existing methodologies and prototype new algorithms
  • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques
  • Working with the development team to transfer research work into production
  • Interpreting larger organizational needs and designing algorithmic solutions that can drive the growth of Arima's business clients
  • Publish results in machine learning conferences and present the findings to others in the scientific community
About You
  • Highly experienced with Python and SQL
  • Hands on professional experience with React and JavaScript is preferred
  • Experience with building RESTful APIs, and databases
  • Experience with responsive web applications
  • Knowledge of data science tools (e.g., pandas, numpy) and machine learning frameworks.
  • Have knowledge in algorithm and data structure fundamentals.
  • Able to formulate and drive a research project independently without close supervision
Degree Required: Any Degree
Is this a research opportunity?: Yes
Contract or Permanent?: Permanent
Number of Positions: 1
Job Location - Region: Toronto
Job Location - Province: Ontario
Job Location - Country: Canada
Compensation Type: Paid - Salary
Annual Salary or Per Hour?: Annual
Hours Per Week: 35+
Target All Programs: No
Targeted Program:
Application Information
Application Deadline: March 8, 2024 11:59 PM
Application Procedure: Employer Email
If by eMail, send to: winston@arimadata.com
Application Documents Required: Resume,Transcript (Unofficial)
ORGANIZATION INFORMATION
Organization: Arima
Industry: Computer, Information and Internet Services
Organization funding: Private for Profit
Division: Head Office
Website: http://arimadata.com
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