Top 7 Data Science Jobs In Canada

Top 7 Data Science Jobs In Canada: According to the Information and Communications Technology Council (ICTC), Canada’s data science jobs are among the top 15 digital occupations by 2023. Over the same period, the ICTC predicts that the demand for digitally enabled workers in Canada will reach more than 305,000. Recently many companies are hiring people for Canada Data Science Jobs.

Top 7 Data Science Jobs in Canada

1. Data Science Manager (Bangkok based) at Agoda:

Location: Vancouver, BC, Canada

About the company: Agoda is a website that allows you to book hotels, flights, and other travel arrangements online. We build and deploy cutting-edge technology that connects visitors to over 2.5 million accommodation options worldwide. Our 4,000+ employees representing 90+ countries located in Asia and part of Booking Holdings foster a work environment rich in diversity, innovation, and collaboration.

Roles And Responsibilities:

• Build a diverse, entrepreneurial team by driving your team’s growth.
• Use a variety of machine learning and data analysis approaches to solve daunting challenges in the online travel and retail industry.
• Work on difficult issues.
• Collaborate directly with business departments leaders and product management team. Persuade them with compelling product ideas based on data insights that will help the company grow.
• Working in one of Asia’s most cosmopolitan cities
• Qualification: (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics, or Mathematics/Statistics preferred.

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2. Data Science Analyst (Remote) at Yelp

Location: Toronto, ON, Canada

About the company: Yelp is a website that connects people with great local businesses. Our customers have written about 155 million appraisals for restaurants, shops, and salons as well as practically every type of local company, including doctors, mechanics and plumbers. These reviews are submitted by individuals who use Yelp to share their general local business experiences, give customers a voice and introduce “word of mouth” to the Internet.

Roles And Responsibilities:

• Lead Yelp’s large analytics initiative provides critical insights to decision-makers and helps product leaders identify new prospects.
• To answer unstructured business questions, provide meaningful learning, and make strategic recommendations, manage tight deadlines, and iterative studies rapidly.
• Define, log and measure Yelp’s key product KPIs and opportunity new projects with product and engineering.
• Create dashboards and automate reports to provide teams across the company with the tools needed to make data-driven decisions.
• Develop and maintain effective relationships with stakeholders from both technical and non-technical backgrounds, with clear and consistent communication.
• Give serious consideration to the experimental design and urge careful experimentation.

Qualification:

• Requires a bachelor’s or master’s degree in a quantitative subject (mathematics, statistics, economics, etc.)
• 3+ years of quantitative industry experience preferred, preferably in the consumer goods sector.
• Excellent SQL skills, Python fluency, and at least one statistical package (R, Pandas/NumPy/SciPy/matplotlib, Stata, Matlab) expertise are required.

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3. Data Science Manager at Brex, Credits (Remote):

Location: Canada

About the company: Brex is a complete financial solution for developing companies. More than a bank, accounting, or incentive program alone can ever accomplish, we help businesses spend, save, and earn better—and move every dollar forward.

Roles And Responsibilities:

• Brex’s underwriting modeling approach is being piloted and implemented.
• Create and promote a data-driven culture across the organization.
• Collaborate across departments to get the model from concept to production.
• Build highly efficient, man-in-the-loop solutions, using machine learning and in-house tools.
• Recruit outstanding data scientists specializing in analytics, risk, and product management.
• Empower the team to reach higher levels of technical productivity, consistency, and ease of use.
• Qualification: Financial risk or credit modeling experience is a plus.

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Read Also – Canadian Added 230,700 Jobs in June, Good for Economy

4. Data Science Principal in SSENSE:

 Location: Montreal, QC, Canada

About the company: SSENSE is a worldwide digital platform that brings together culture, community and commerce. It comprises a mix of well-known and new luxury brands spanning Womenswear, Menswear, Kids Wear, and Everything ElseTM and was co-founded in 2003 by brothers Rami, Firas, and Basel Atallah and is based in Montreal.

Roles And Responsibilities:

• To continuously lead, mentor, and elevate a team of world-class data scientists through mentoring and coaching.
• Manage and direct data scientists in the development of data-driven solutions in collaboration with key business stakeholders.
• Identify and lead data science initiatives that add substantial business value and are in line with the strategic position of the Department and SSENSE.
• Develop partnerships and guidance with other departments (technical and business), to create and implement cross-functional initiatives.

Qualification:

• A master’s or doctoral degree in data science, computer science, engineering, mathematics, or a closely related subject is required.
• Requires at least ten years of expertise in data science, predictive analytics and machine learning, with a focus on driving business impact.
• Excellent SQL and Python programming capabilities, plus GitHub experience
• Extensive expertise using quantitative techniques to solve analytical issues
• Knowledge and expertise in the field of e-commerce (a property)

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5. (CAN) Senior Manager, Pricing Strategy, Product and Data Science at Walmart Canada:

Location: Mississauga, ON, Canada

About the company: Walmart Canada is one of the largest employers in the country and one of the top ten most powerful brands.

Roles And Responsibilities:

• Simplify through automation of pricing operations and process uniformity. Digitize regular pricing using current technology and data science to allow for data-driven decisions.
• Manage a variety of sophisticated pricing tools and techniques, such as JDA Pricing and a business intelligence tool.
• Manage and execute UAT, technical, and business verification for pricing tools and to guarantee that a best-in-class product is produced and maintained.
• Lead and coach a team of strategy and analysis, technology, and data scientists to drive pricing initiatives.
• To establish and maintain a market-leading position, develop and continuously improve data-science solutions on big data platforms.

Qualification:

• Minimum Education Required: Bachelor’s degree
• Minimum years of experience required: 6-8 years

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6. Senior Data Science Manager at Unity Technologies

Location: Vancouver, BC, Canada

About the company: Unity is the world’s leading real-time 3D (RT3D) content creation and management platform. Unity is used by a variety of creators, including game developers, painters, architects, automobile designers, filmmakers and others, to bring their visions to reality. Unity’s platform includes tools to create, play and monetize interactive, real-time 2D and 3D content for mobile phones, tablets, PCs, consoles, and augmented and virtual reality devices.

Roles And Responsibilities:

• Hire and train a data science team to help Unity better understand its consumers and products.
• Mentor data science talent to solve problems using a mix of business and science and technology knowledge.
• Build data science solutions for production with engineers.
• You will create a strategy with a compelling value proposition in collaboration with Product Management.

Qualification:

• Experience the convenience and creation of data science teams that make a difference
• Ability to translate business issues into critical data science and architectural challenges
• Understanding how to apply sophisticated machine learning to manufacturing
• Machine learning and statistical models are both concepts that need to be understood.

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7. Data Science Senior Manager at Accenture

Location: Ottawa, Ongole, Canada

About the Company: Accenture is a multinational professional services firm specializing in digital, cloud and security solutions. They provide strategy and consulting interactive, technology, and operations services powered by the world’s largest network of advanced technology and intelligent operations centers, with unparalleled experience and specialized capabilities in over 40 sectors.

Roles And Responsibilities:

• Collaborate with potential clients to use data, analytics, and AI/ML to solve large and difficult business challenges.
• Develop state-of-the-art cloud solutions for customers across a wide variety of functions and sectors.
• Educate account teams about data, analytics, and AI/ML as well as their relevance to their industry and customers.
• Lead multiple teams and engagements, to engineer and create value for customers.
• Participate in the development of an exercise, including capacity building and recruitment.
• Keep up with the latest cloud, data, analytics, and AI/ML technologies, academic research, and practical approaches.

Qualification:

A master’s degree in data science or a related field such as mathematics, statistics, computer science, economics, engineering or physics is required.

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