Top 10 Data Science Jobs of Canada You Should Look into different websites which can help in finding jobs
Data Science Jobs of Canada are among the top 15 digital occupations in need until 2023, according to the Information and Communications Technology Council (ICTC). Over the same period, the ICTC predicts that demand for digitally competent workers in Canada will reach more than 305,000. Recently several companies are hiring people for the Data Science Jobs of Canada.
Top 10 Data Science Jobs of Canada are:
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 create and deploy cutting-edge technology that links visitors with over 2.5 million lodging options around the world. Our 4,000+ workers representing 90+ countries, based in Asia and part of booking holdings, promote a work atmosphere rich in variety, innovation, and cooperation.
Roles and Responsibilities:
- Build a diverse, entrepreneurial team by driving your team's growth.
- Utilize a variety of machine learning and data analysis approaches to solve challenging challenges in the online travel and retail industry.
- Work on difficult issues.
- Directly collaborate with the leaders of business departments and the product management team. Persuade them with appealing product ideas based on data insights that will help the company grow.
- Working in one of Asia's most cosmopolitan cities
Qualifications: (MSc/Ph.D.) in Computer Science, Economics, Engineering, Operations Research, Physics, or Mathematics/Statistics is preferred.
2. Data Science Analyst (Remote) at Yelp
Location: Toronto, ON, Canada
About the Company: Yelp is a website that connects individuals with fantastic local businesses. Our customers have written almost 155 million evaluations of practically every sort of local company, including restaurants, shops, and salons, as well as doctors, mechanics, and plumbers. These reviews are submitted by individuals who use Yelp to share their ordinary local business experiences, giving customers a voice and introducing "word of mouth" to the internet.
Roles and Responsibilities:
- Lead Yelp's large analytics initiatives, convey critical insights to decision-makers, and assist product leaders in identifying new possibilities.
- To answer unstructured business questions, offer meaningful learnings, and create strategic recommendations, manage tight timelines and swiftly iterate studies.
- Define, log, and measure Yelp's key product KPIs and opportunity size new projects cross-functionally with product and engineering.
- Create dashboards and automate reports to provide teams across the company the tools they need to make data-driven decisions.
- With clear and frequent communication, develop and maintain impactful relationships with stakeholders from both technical and non-technical backgrounds.
- Consider experimental design seriously and urge for careful experimentation.
- A bachelor's or master's degree in a quantitative subject is required (Mathematics, Statistics, Economics, etc.)
- 3+ years of quantitative industry experience is preferred, preferably in the consumer goods area.
- Excellent SQL skills, Python fluency, and at least one statistical package (R, Pandas/ NumPy/ SciPy/ matplotlib, Stata, Matlab) expertise are required.
3. Data Science Manager, Credit (Remote) at Brex:
About the Company: Brex is an all-in-one financial solution for developing companies. By doing more than a bank, accounting, or incentive program could ever accomplish alone, we help businesses spend, save, and earn smarter—and stretch every dollar farther.
Roles and Responsibilities:
- Brex's underwriting modeling approach is being driven and executed.
- Create and foster a data-driven culture throughout the organization.
- Collaborate across departments to get models from concept to production.
- Using machine learning and in-house tools, create extremely efficient, human-in-the-loop solutions.
- Recruit excellent data scientists with expertise in analytics, risk, and product management.
- Empower the team to reach a high degree of technical productivity, consistency, and ease of use.
Qualifications: Financial risk or credit modeling experience is a plus.
4. Data Science Principal at SSENSE:
Location: Montreal, QC, Canada
About the Company: SSENSE is a worldwide digital platform that brings culture, community, and commerce together. It includes a mix of known and new luxury brands spanning womenswear, menswear, kids wear, and Everything ElseTM and was co-founded in 2003 by brothers Rami, Firas, and Bassel Atallah and is located in Montreal.
Roles and Responsibilities:
- Provide frequent leadership through consulting and coaching to a team of world-class data scientists, advising and elevating them.
- Manage and direct data scientists in the development of data-driven solutions in collaboration with important business stakeholders.
- Identify and lead data science initiatives that add substantial business value and are in line with the department's and SSENSE's strategic posture.
- To build and implement cross-functional initiatives, develop partnerships and guidance with other departments (technical and business).
- A master's or doctoral degree in Data Science, Computer Science, Engineering, Mathematics, or a closely related subject is required.
- A minimum of ten years of expertise in Data Science, Predictive Analytics, and Machine Learning with a focus on driving business impact is required.
- Excellent SQL and Python programming abilities, as well as GitHub experience
- Extensive expertise utilizing quantitative techniques to solve analytical issues
- Knowledge and expertise in the field of e-commerce (an asset)
5. (CAN) Senior Manager, Pricing Strategy, Product & Data Science at Walmart Canada:
Location: Mississauga, ON, Canada
About the Company: Walmart Canada is one of the country's largest employers and one of the top ten most powerful brands.
Roles and Responsibilities:
- Simplify through automation of pricing operations and process uniformity. Digitize routine pricing using current technology and Data Science to allow data-driven decisions.
- Manage a variety of sophisticated pricing tools and technologies, such as JDA Pricing and a business intelligence tool.
- Manage and execute hands-on UAT, technical, and business validations for pricing tools and feature improvements to guarantee that the best-in-class product is produced and maintained.
- To deliver pricing initiatives, lead and coach a team of strategy & analytics, technology, and data scientists.
- To establish and sustain a market-leading position, develop Data-Science solutions on big data platforms, and make ongoing improvements.
- Minimum Education Required: Bachelor's Degree
- Minimum Years of Experience Required: 6-8 Years
6. Senior Data Science Manager at Unity Technologies
Location: Vancouver, BC, Canada
About the Company: Unity is the world's premier 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 for creating, running, and monetizing 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'll create strategies with a compelling value proposition in collaboration with product management.
- Experience facilitating and building data science teams that make a difference
- Ability to translate business issues into significant Data Science and architectural challenges
- Understanding of how to put sophisticated machine learning into manufacturing
- Machine learning and statistical models are both concepts that need to be grasped.
7. Data Science Senior Manager at Accenture
Location: Ottawa, ON, Canada
About the Company: Accenture is a multinational professional services firm that specializes in digital, cloud, and security solutions. They provide strategy & consulting, interactive, technology, and operations services, all driven by the world's biggest network of advanced technology and intelligent operations centers, with unparalleled experience and specialized capabilities across more than 40 sectors.
Roles and responsibilities:
- Collaborate with prospective clients to use data, analytics, and AI/ML to solve huge and difficult business challenges.
- Develop cutting-edge cloud solutions for clients from a variety of functions and sectors.
- Educate account teams about data, analytics, and AI/ML, as well as their relevance to their industry and clients.
- To engineer and create value for clients, lead numerous teams and engagements.
- Participate in the growth of a practice, including capability development and recruiting.
- Keep up with the latest cloud, data, analytics, and AI/ML technologies, academic research, and hands-on approaches.
A master's degree in Data Science or a related field, such as Mathematics, Statistics, Computer science, Economics, Engineering, or Physics, is required.
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.