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Data Science Jobs in Canada

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As per the Information and Communications Technology Council, Canada’s Data Science Jobs are one of the most in-demand digital vocations (ICTC). During the same time period, the organization projects that need for digitally skilled professionals in Canada will exceed 305,000. Multiple companies in Canada have recently started recruiting for Data Science Jobs. With these being said, let’s take a gander at the top data science jobs available in Canada.

Best Data Science Jobs in Canada

Below is the rundown of the top jobs available for data scientists in Canada:

Data Science Analyst (Remote) — Yelp

Yelp, based in Toronto, Ontario, Canada, is a website that connects people with great local businesses. Customers have left about 155 million reviews for a variety of local businesses, including restaurants, shops, and salons, as well as doctors, mechanics, and plumbers. Individuals who use Yelp to express their everyday local business experiences are the ones who write these ratings.

Key Roles and Responsibilities:

  • Defining, logging, and measuring Yelp’s core product KPIs, as well as sizing new projects cross-functionally with product and engineering, are critical duties and functions.
  • Develop dashboards and automate reports to deliver data-driven decision-making tools to teams across the organization.
  • Create and improve impactful relationships with key stakeholders from both professional and non-technical backgrounds through clear and frequent communication.
  • Take experimental design seriously and encourage meticulous testing.

Qualifications:

  • A bachelor’s or master’s degree in a mathematical discipline is necessary (Mathematics, Statistics, Economics, etc.)
  • 3+ years of quantitative industry experience, ideally in the retail market, is preferred.
  • It is necessary to have excellent SQL abilities, Python fluency, and knowledge of at minimum one statistical tool.

Data Science Manager (Bangkok based) — Agoda

Agoda is a platform that lets users to book hotels, flights, and other travel arrangements electronically. It is premised in Vancouver, British Columbia, Canada. The company develop and deploy cutting-edge technology that connects visitors to more than 2.5 million accommodation options worldwide.

Key Roles and Responsibilities:

  • You should be able to drive your team’s progress to create a diversified, entrepreneurial team.
  • To handle difficult difficulties in the online booking and retail industry, use a diversity of machine learning and data analysis methodologies.
  • Work on subjects that are challenging.
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Qualifications:

  • Computer Science, Economics, Engineering, Operations Research, Physics, or Mathematics/Statistics (MSc/Ph.D.) are preferable.

Senior Manager, Pricing Strategy, Product & Data Science — Walmart

WalmartCanada is among the country’s largest employers and one of the list of top 10 most powerful brands, with headquarters in Mississauga, Ontario, Canada.
The company is looking for a Senior Manager, Pricing Strategy, Product & Data Science.

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Key Roles and Responsibilities:

  • Handle a number of complex pricing systems and technologies, including JDA Pricing as well as a business intelligence tool, among other tasks.
  • To ensure that the correct product is generated and maintained, manage and execute hands-on UAT, technical, and business verifications for pricing tools and feature enhancements.
  • Steer and manage a team of strategists, technologists, and data scientists to deliver pricing initiatives.

Qualifications:

  • Bachelor’s degree is the minimum requirement.
  • 6-8 years of experience is required as a minimum.

Data Science Manager, Credit (Remote) — Brex

Brex is a fully featured financial solution for small and medium-sized businesses. The organization assist businesses invest, save, and earn smarter—and expand every dollar further—by doing more than a bank, accounting, or incentive program could ever do alone.

Key Roles and Responsibilities:

  • Build and nurture a data-driven culture within the organization as a key role and responsibility.
  • To bring models from concept to production, team together across departments.
  • Develop incredibly efficient, sentient solutions using machine learning and in-house tools.
  • Hire outstanding data scientists with experience in analytics, risk management, and product management.
  • Assist the team in achieving a high level of technical effectiveness, uniformity, and usability.

Qualifications:

  • Experience with financial risk or credit modeling is advantageous.

Data Science Principal — SSENSE

SSENSE, headquartered in Montreal, Quebec, Canada, is a global digital network that provides culture, community, and commerce. This was co-founded in 2003 by brothers Rami, Firas, and Bassel Atallah and is situated in Montreal. It features a range of well-known and new luxury brands spanning womenswear, menswear, kidswear, and Everything ElseTM.

Key Responsibilities and Roles:

  • Focus on providing periodic management to a team of world-class data scientists by counseling and coaching them, as well as advising and advancing them.
  • In conjunction with key business stakeholders, manage and direct data scientists in the development of data-driven innovations.
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Qualifications:

  • A master’s or doctoral degree in Data Science, Computer Science, Engineering, Mathematics, or a related field is necessary.
  • A baseline of 10 years of experience in Data Science, Advanced Analytics, and Machine Learning is required, with a focus on business impact.
  • Exceptional SQL and Python programming skills, as well as expertise with GitHub
  • Extensive experience solving analytical problems using quantitative methodologies
  • Expertise and knowledge in the sphere of e-commerce (an asset)

That’s the view of the top jobs available for data science professionals in Canada.

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