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Remote Data Scientist Risk Jobs in Ontario (NOW HIRING)

You'll work directly with the Lead Data Scientist who owns the full Canadian data stack, as well as ... Strong communication skills, especially in a remote, cross-functional, and cross-border environment

New

... regulatory risk and providing timely, accurate response upon request. Key Data Governance ... Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ...

... regulatory risk and providing timely, accurate response upon request. Key Data Governance ... Details on your work arrangement (proportion of on-site and remote work) will be discussed at the ...

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... Create high-quality data to inform the future of AI innovation by developing challenging problems ...

We are open to remote candidates based in Canada. Responsibilities * Own analytics projects from ... Partner with Data Scientists toidentifyareas of improvement forData Science models * Work with Data ...

AI Developer (REMOTE)

Toronto, ON · Remote

CA$84K - CA$146K/yr

This is a fully remote role and can be based anywhere in Canada. Job Responsibilities Include ... Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or ...

Effective collaboration with multidisciplinary teams of geologists, geophysicists, geochemists, and data scientists. * Process, analyze, and interpret geophysical, geological, geochemical, remote ...

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

... data scientists and other stakeholders to understand business needs and goals Ensuring the AI ... The starting pay range for this remote role is $147,000.00-$245,000.00. This range reflects the ...

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

... data scientists and other stakeholders to understand business needs and goals Ensuring the AI ... The starting pay range for this remote role is $147,000.00-$245,000.00. This range reflects the ...

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... scientists, data engineers, data analysts and solution architects to develop data pipelines to feed ...

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Applied Machine Learning Scientist

StackAdapt

London, ON • On-site, Remote

Other

Re-posted 7 days ago


Job description

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
 
Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
 
StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK, Ireland and Germany for this position.
What you'll be doing:
  • Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
  • Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
  • Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
What you'll bring to the table:
  • Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have a comprehensive understanding of statistics, optimization and machine learning
  • Are proficient in coding, data structures, and algorithms
  • Enjoy working in a friendly, collaborative environment with others