Applied Scientist, Recommendations – eBay – Toronto, ON

Company: eBay

Location: Toronto, ON

Expected salary:

Job date: Wed, 30 Apr 2025 05:47:55 GMT

Job description: At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We’re in this together, sustaining the future of our customers, our company, and our planet.Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.Bring your passion for applied data science to a high-impact marketing team at eBay! eBay has consistently been the leader in market share of paid marketing partners like Google, Bing, Facebook and Pinterest. Are you interested in solving cutting edge research problems while impacting all eBay advertising channels?Does working with Big Data, cloud computing, large-scale optimization, probabilistic inference, and machine learning excite you? If you answered yes, the Marketing Science team at eBay is the right place for you. We are looking for a motivated Data Scientist to join our team.You will be directly responsible for improving eBay’s algorithms that drive customer traffic via Marketing channels. You will work on cutting-edge ML/optimization algorithms against one of the biggest datasets in the world. You’ll work with world-class data scientists and engineers. You’ll solve problems that have a direct impact on a multi-billion dollar business. Bring your ideas, energy, and dedication to reach and engage the next 100M eBay users.We are developing personalization technologies and optimization strategies that have a direct impact on eBay’s customers as well as the company’s bottom line. You will be expected to research state-of-the-art machine learning algorithms, optimization, natural language processing, text mining, and other techniques, and apply them to eBay’s marketing platforms. You will roll out your solutions to production, analyze results offline and online, and measure the impact.ResponsibilitiesAggregate huge amounts of data and information from large numbers of sources to discover patterns and create features necessary to build machine learning models that match eBay’s inventory with customers’ demand. Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive customer traffic to eBay.Qualifications

  • PhD or MS in computer science, engineering or related field.
  • Excellent understanding of computer science fundamentals, data structures, and algorithms. Strong programming skills (one or more of Python, Java, C/C++, Scala).
  • Expertise in specialized areas such as Deep Learning, NLP, Statistical modeling, Probabilistic Inference, Machine Learning, Data engineering, Recommendation Systems.
  • Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
  • Knowledge of SQL is required.
  • Strong written and verbal communication skills, ability to work with large cross-functional teams of technical and non-technical members.
  • Strong analytical and research skills proven through publications in reputed conferences/journals or supporting demonstration of innovation.
  • Experience with site experimentation (A/B testing, Time splicing)

Encouraged Experience

  • PhD – at least 3 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.
  • M.S. – at least 4-5 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.
  • Experience with online advertising is a plus
  • Proven Professional background in Software Engineering with a focus on Object Oriented, Back End Development is a plus

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay’s commitment to ensuring digital accessibility for people with disabilities.The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.

eBay is a leading global ecommerce platform, empowering buyers and sellers in over 190 markets. The company emphasizes innovation, authenticity, and inclusivity in its work culture while aiming to create economic opportunities for all users. They are seeking a motivated Data Scientist for their Marketing Science team, which focuses on improving marketing algorithms and utilizing cutting-edge machine learning and data processing technologies.

Key responsibilities include analyzing large datasets, building machine learning models, and implementing solutions to enhance customer engagement. Candidates should possess advanced degrees in computer science or related fields, strong programming skills, and experience in data engineering. eBay values diversity and aims to create an inclusive work environment. They offer a comprehensive range of benefits to support employees at all life stages. eBay is an equal opportunity employer that strives for accessibility and inclusivity in the workplace.

Senior Product Manager, Recommendations – Loblaw – Toronto, ON

Company: Loblaw

Location: Toronto, ON

Expected salary:

Job date: Sat, 22 Feb 2025 03:43:25 GMT

Job description: At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we’re only just getting started.Why is this role important?As a Senior Product Manager, Recommendations you will collaborate with teams from across the organization to develop and evolve our highly innovative Personalization platform.In this role, you will be responsible for defining the product strategy and owning a roadmap that enables experimentation, optimizes data collection, analysis, measurement, and automates reporting functionalities. Your expertise will shape our platform’s capabilities in leveraging customer insights to provide a tailored shopping experience that delivers highly relevant content at every customer touchpoint, both on-site (web and app) and off-site (digital messaging and social media channels).What you’ll do:You’ll develop a deep understanding of our business, customers, customer journeys, competition, and technology.Own the roadmap, development, and execution of our Recommendation service; a service that is critical to driving personalization across our ecommerce platform.Collaborate with cross-functional teams, including engineering, data science, UX/UI, marketing, and merchandizing to deliver high-quality products.Design and conduct A/B testing and other experimentation methods to validate and refine product features and enhancements.Help define transactional and long-term, downstream impact metrics to monitor and analyze product performance, and use insights to drive product improvements.Understand and anticipate customer and colleague needs to ensure our product is relevant, engaging, and desirable.Stay up-to-date with the latest trends and advancements in ecommerce personalization, Machine Learning and AI and use them to shape a future-proofed vision for your product.Does this sound like you?5+ years of product management experience.Experience with experiment design principles, A/B testing, and data-driven decision making.Strong knowledge and proficiency with data and statistical analysis. Knowledge of machine learning, SQL, and predictive modeling is a plus.Experience with digital messaging channels (such as email, SMS/RCS, push notifications) is a plus.Experience with data analytics visualization and tools like Looker or Tableau is a plusExperience working on a personalization platform is a plus.Technical product management experience or similar, such as building API products or platform services.Exceptional stakeholder management skills, can easily build relationships at every level of an organization, and have been part of large, cross-functional teams that are working to solve complex problems.Experience taking a concept from idea to launch, and are willing to roll up your sleeves to help the team however you can.Customer-first approach to building products, leveraging research and data paired with empathy to build solutions that customers love and use repeatedly.Clear communicator – both written and verbal – and able to explain technical needs and considerations to a non-technical audience and vice-versa.You have prior experience building and managing scalable platforms.How You’ll Succeed:At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.Looking for a challenge? Good. Love an innovative work environment? Even better.Apply today.Employment Type: Full timeType of Role: RegularLoblaw Digital recognizes Canada’s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Loblaw Digital, based in Downtown Toronto, is looking for a Senior Product Manager, Recommendations to shape their innovative Personalization platform. The role involves collaborating with various teams to develop and evolve the recommendation service critical to personalized shopping experiences. The ideal candidate will have experience in product management, data-driven decision making, A/B testing, and stakeholder management. Loblaw Digital values diversity and inclusion, offering accommodations for applicants with disabilities. If you are passionate about eCommerce and looking for an innovative work environment, apply today for this full-time role.

Amazon – Software Engineer II, Advertising Sales Recommendations & Insights – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Wed, 18 Dec 2024 00:25:41 GMT

Job description: DESCRIPTIONAmazon Advertising is one of Amazon’s fastest growing businesses, responsible for defining and delivering advertising solutions that drive product discovery and sales. Sales Recommendations & Insights is at the forefront of our amazing growth machine enabling our teams to deliver at scale. Our goal is to scale advertising account management multifold by investing in strategic applications that improve productivity of external advertising customers and internal account management executives. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
Our team (AdGenie) has built a recommendation platform which enable advertisers to discover packaged advertising solutions and adopt them with a single click. As part of our next phase, we are personalizing our recommendations further using context aware science-backed modules, while simultaneously enabling customization of recommendations by users to deliver the most optimum solution.
As a software development engineer, you will:
Collaborate in the design, implementation, and deployment of successful internet-scale systems and services to support advertising business.
Help define our secure, scalable and distributed systems.
Work closely with senior engineers, UX designers, product managers and data scientist delivering demanding projects.
Functionally decompose complex problems into simple, straight-forward solutions.
Understand system interdependencies and limitations.
Share your knowledge of the most effective performance, scalability, architecture, and engineering patterns and methods.
We are looking to hire SDE II engineers with high ownership and bias-for-action. This opportunity might resonate more with engineers who are looking to broaden their skill-set by getting exposure to Native AWS based service development, big-data systems, MLOps and front-end development using micro-frontend architecture. If you are interested to know more about these opportunities, please reach out.BASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon – Software Engineer II, Advertising Sales Recommendations & Insights – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Wed, 04 Dec 2024 05:28:10 GMT

Job description: DESCRIPTIONAmazon Advertising is one of Amazon’s fastest growing businesses, responsible for defining and delivering advertising solutions that drive product discovery and sales. Sales Recommendations & Insights is at the forefront of our amazing growth machine enabling our teams to deliver at scale. Our goal is to scale advertising account management multifold by investing in strategic applications that improve productivity of external advertising customers and internal account management executives. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
Our team (AdGenie) has built a recommendation platform which enable advertisers to discover packaged advertising solutions and adopt them with a single click. As part of our next phase, we are personalizing our recommendations further using context aware science-backed modules, while simultaneously enabling customization of recommendations by users to deliver the most optimum solution.
As a software development engineer, you will:
Collaborate in the design, implementation, and deployment of successful internet-scale systems and services to support advertising business.
Help define our secure, scalable and distributed systems.
Work closely with senior engineers, UX designers, product managers and data scientist delivering demanding projects.
Functionally decompose complex problems into simple, straight-forward solutions.
Understand system interdependencies and limitations.
Share your knowledge of the most effective performance, scalability, architecture, and engineering patterns and methods.
We are looking to hire SDE II engineers with high ownership and bias-for-action. This opportunity might resonate more with engineers who are looking to broaden their skill-set by getting exposure to Native AWS based service development, big-data systems, MLOps and front-end development using micro-frontend architecture. If you are interested to know more about these opportunities, please reach out.BASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

Amazon – Software Development Engineer II, SP Bidding Recommendations – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Sat, 23 Nov 2024 01:14:37 GMT

Job description: DESCRIPTIONAmazon’s Sponsored Products advertising business is one of the fastest growing areas in the company. Have you ever wondered what happens behind that “Sponsored” label you see in search results on Amazon? Hint: it involves a lot of interesting tech delivered by a great team.
The Sponsored Products team optimizes the systems and ad placements to match demand with supply using a combination of data-driven product innovation, machine learning, big data analytics, and low latency/high-volume engineering. By the time organic search results are ready, we’ve processed all of the potential ads and determined which ones are going to be shown. We do that billions of times per day, resulting in millions of engagements with products that might otherwise not have been seen by shoppers.
The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously innovate on behalf of all customers.We’re looking for customer-obsessed, innovative, professional engineers who can help us take our products to the next level of functionality, quality and performance. We embrace leaders with a startup mentality – those who seek a disruptive yet clear mission and purpose, have an unambiguous owner’s mindset, and are relentlessly obsessed with delivering amazing products. As a Software Engineer on our team, you will be responsible for delivering large-scale, operationally robust software running sophisticated machine learning models that allow us to perform optimizations on Sponsored Products advertising campaigns. You’ll own significant products and features from design through launch, and will work with product managers, scientists, UX designers, and other engineers to make your efforts successful. If this sounds like your sort of challenge, read on.Key job responsibilities
Characteristics indicative of success in this role: – Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.Technically fearless: You aren’t satisfied by performing ‘as expected’ and push the limits past conventional boundaries.Engaged by ambiguity: You’re able to explore new problem spaces with unique constraints and non-obvious solutions.
Team obsessed individual contributor: You help grow your team members to achieve outstanding results. You’ve learned that big plans generally involve collaboration and great communications.Quality obsessed: You recognize that professional engineers ship complete, tested software to avoid getting trapped in a sea of technical debt. You balance speed with quality.Ambitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement. You use introspection and feedback from teammates and peers to raise the bar.Key job responsibilities
– designing and developing software products that impact many areas of our business– define requirements, create software design, implement code to these specifications– provide thorough unit and integration testing, and support products while deployed and used by our stakeholdersBASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

McAfee – Senior Machine Learning Scientist (Pricing & Recommendations) – Remote – Ontario

Company: McAfee

Location: Ontario

Expected salary:

Job date: Fri, 25 Oct 2024 23:16:53 GMT

Job description: Role Overview:Be the Architect of Personalized Experiences at McAfee as our Senior Machine Learning Scientist for Pricing & Recommendations.Are you passionate about harnessing the power of data to drive impactful business decisions?McAfee is seeking a Senior ML Scientist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.This is a Hybrid position in Canada. Candidates who live within commutable distance of Vancouver, Waterloo, or Toronto are preferred.You will be required to be onsite from time to time as determined by the needs of the business (Avg. 4 to 12 days a month). We are only considering candidates located in Canada and are not providing relocation at this time.About The Role:

  • Ability to attend meetings and discussions during overlapping Pacific Standard Time (PST) hours (must-have).
  • Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations.
  • Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
  • Engineer and maintain large-scale consumer behavioral feature stores while ensuring scalability and performance.
  • Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
  • Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure your solutions align with strategic objectives and deliver real-world impact.
  • Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
  • Design, analyze, and troubleshoot controlled experiments (Causal A/B tests, Multivariate tests) to validate your solutions and measure their effectiveness.

About You:

  • 7 to 9 years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
  • Experience with Classical and Traditional ML including Classification, Clustering, and Regression using XGBoost, Random Forest, SVM, DB Scan, Gaussian Mixture Models, KMeans, and KNN .
  • Experience with intermediate SQL – Window Functions, Group by, Joins, Partition.
  • Experience in handling Tabular data processing, including sparsity, cardinality analysis, standardization, encoding, etc.
  • Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc.
  • Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
  • Experience in building industry-standard recommender systems and pricing models.
  • Expertise in MLOps, ML Engineering and Solution Design.

#LI-HybridCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Amazon – Software Development Engineer II, SP Bidding Recommendations – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Fri, 06 Sep 2024 05:51:35 GMT

Job description: DESCRIPTIONAmazon’s Sponsored Products advertising business is one of the fastest growing areas in the company. Have you ever wondered what happens behind that “Sponsored” label you see in search results on Amazon? Hint: it involves a lot of interesting tech delivered by a great team.
The Sponsored Products team optimizes the systems and ad placements to match demand with supply using a combination of data-driven product innovation, machine learning, big data analytics, and low latency/high-volume engineering. By the time organic search results are ready, we’ve processed all of the potential ads and determined which ones are going to be shown. We do that billions of times per day, resulting in millions of engagements with products that might otherwise not have been seen by shoppers.
The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously innovate on behalf of all customers.We’re looking for customer-obsessed, innovative, professional engineers who can help us take our products to the next level of functionality, quality and performance. We embrace leaders with a startup mentality – those who seek a disruptive yet clear mission and purpose, have an unambiguous owner’s mindset, and are relentlessly obsessed with delivering amazing products. As a Software Engineer on our team, you will be responsible for delivering large-scale, operationally robust software running sophisticated machine learning models that allow us to perform optimizations on Sponsored Products advertising campaigns. You’ll own significant products and features from design through launch, and will work with product managers, scientists, UX designers, and other engineers to make your efforts successful. If this sounds like your sort of challenge, read on.Key job responsibilities
Characteristics indicative of success in this role: – Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.Technically fearless: You aren’t satisfied by performing ‘as expected’ and push the limits past conventional boundaries.Engaged by ambiguity: You’re able to explore new problem spaces with unique constraints and non-obvious solutions.
Team obsessed individual contributor: You help grow your team members to achieve outstanding results. You’ve learned that big plans generally involve collaboration and great communications.Quality obsessed: You recognize that professional engineers ship complete, tested software to avoid getting trapped in a sea of technical debt. You balance speed with quality.Ambitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement. You use introspection and feedback from teammates and peers to raise the bar.Key job responsibilities
– designing and developing software products that impact many areas of our business– define requirements, create software design, implement code to these specifications– provide thorough unit and integration testing, and support products while deployed and used by our stakeholdersBASIC QUALIFICATIONS– 3+ years of non-internship professional software development experience
– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
– Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
– Bachelor’s degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

Digital Media & Search Manager / Responsable Media numérique…Air Canada Vacations3.3Toronto, ON Build all digital media plans based on target audience and campaign objectives. Integrate strategies and recommendations with other active marketing channels… 30+ days ago·More…View all Air Canada Vacations jobs – Toronto jobsSalary Search: Digital Media & Search Manager / Responsable Media numérique et marketing par moteurs de recherche salaries in Toronto, ONSee popular questions & answers about Air Canada Vacations


Digital Media & Search Manager / Responsable Media numérique…Air Canada Vacations3.3Toronto, ON
Build all digital media plans based on target audience and campaign objectives.
Integrate strategies and recommendations with other active marketing channels…
30+ days ago·More…View all Air Canada Vacations jobs – Toronto jobsSalary Search: Digital Media & Search Manager / Responsable Media numérique et marketing par moteurs de recherche salaries in Toronto, ONSee popular questions & answers about Air Canada Vacations


CLICK TO APPLY

Digital Media SpecialistMaple Diversity Communications Inc.Mississauga, ON$45,000 – $63,000 a year Plan and develop strategic media channel recommendations and performance-based integrated media plans to exceed client objectives and provide the best… 30 days ago·More…View all Maple Diversity Communications Inc. jobs – Mississauga jobsSalary Search: Digital Media Specialist salaries in Mississauga, ON


Digital Media SpecialistMaple Diversity Communications Inc.Mississauga, ON$45,000 – $63,000 a year
Plan and develop strategic media channel recommendations and performance-based integrated media plans to exceed client objectives and provide the best…
30 days ago·More…View all Maple Diversity Communications Inc. jobs – Mississauga jobsSalary Search: Digital Media Specialist salaries in Mississauga, ON


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newMarketing AssociateGREENSAVERToronto, ON Strong analytics expertise; the ability to analyze/measure/consolidate performance across a variety of digital platforms and offer recommendations based on the… Just posted·More…View all GREENSAVER jobs – Toronto jobsSalary Search: Marketing Associate salaries in Toronto, ON

Greensaver is Ontario’s leading non-profit energy conservation organization. For nearly 30 years, we’ve helped people, businesses, and utility companies reduce their carbon footprint and, therefore, protect the environment. In total, we have helped over 100,000 homeowners, renters, and small businesses reduce their energy consumption and overall utility costs.

Our mission is to provide turn-key energy efficiency solutions for homes and small businesses, to deliver a sustainable future.

Our vision is to be Canada’s trusted energy conservation partner.

GreenSaver’s leadership team has decades of experience delivering energy efficiency, conservation, and demand management solutions for utilities, municipalities, and businesses. Our team consists of experts in program management and design, marketing, customer service, energy evaluations and building retrofits.

Marketing Associate

You have demonstrated that you have a strong skillset for delivering just the right tone of communication, in the right medium, on time and on budget. You will have the confidence to plan and execute campaigns that deliver real results, yet you will always look to how the messaging can be honed to constantly improve the effectiveness of the programs. A self-starter, you will have the confidence to work independently, yet also collaboratively as needed. To be part of a team delivering a sustainable future is important to you.

This role reports to the Marketing Manager.

You will also be working & collaborating with a team of individuals who are passionate about helping others, energy conservation and making a positive impact on the environment.

Primary Responsibilities:

Marketing Planning and Execution

· Contributing to the development and execution of marketing strategies and plans that drive results across multiple channels

· Assisting in the development and implementation of the marketing budget and results dashboard to increase return on spend

· Event coordination from initiation to reporting, including tracking invitations, RSVP’s, securing venues, event participation, coordinating room preparation, surveys, thank-you and follow-up

· Working collaboratively with internal and external stakeholders and vendors to support multiple projects including campaigns , promotional events, and special events

Digital Marketing

· Collaborate with the team to lead social media strategies and implementation plans

· Contributing to the development and execution of digital plans and campaigns that support revenue and communications objectives for websites, social media, newsletter, and email campaigns

· Developing, creating, and sharing social media content to strengthen the brand and to support various channels

· Implementing and tracking against SEO/SEM strategies

Marketing Communication

· Leading content calendar development, planning and implementation

· Coordinating internal and external communications and activities to ensure alignment with corporate marketing and communications strategy

· Assisting with the development of company branded collateral, PowerPoint presentations and other written materials, ensuring consistency in all communications, brand image and messaging

Analytics & Reporting

· Developing analytic tools with web traffic/ad/lead dashboards to identify trends and insights to support a deeper understanding of channel attribution to optimize channel mix and cost effectiveness

· Reporting on marketing analytics; in-depth monthly reviews of traffic, referrals, leads, content for team to generate. Identify and communicate hits and misses and bring forward key recommendations

· Tracking performance, analyzing, and reporting on campaign analytics, conversions and results to inform future strategies and plans.

· Provide regular updates and reports to management as needed. Other requirements and responsibilities in line with organizational need.

Minimum Qualifications

· University degree in Communications, Commerce, Marketing or related discipline

· 3+ years of experience driving ROI for companies using paid, owned, and earned offline and digital media and channel attribution strategies.

· Exceptional research, writing, and editing skills to write/create/produce materials across a variety of platforms/channels (web, digital, print, social media, email, etc.).

· Experience in google analytics, google ads, social media ads manager

· Experience in website management strongly preferred (wordpress)

· Ability to adhere to brand standards

· Ability to manage multiple projects and relationships at a given time

· Strong analytics expertise; the ability to analyze/measure/consolidate performance across a variety of digital platforms and offer recommendations based on the data

· Interpersonal: Leadership, collaboration, detail-oriented

Compensation

  • Competitive base annual salary and full company benefits are available for the right candidate.

To Apply

Please submit a cover letter and resume and samples of your work in one attachment.

Greensaver is proud to be an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Job Types: Full-time, Permanent

Benefits:

  • Commuter benefits
  • Dental care
  • Employee assistance program
  • Employee stock purchase plan
  • Extended health care
  • Life insurance
  • Paid time off
  • RRSP match
  • Vision care

Schedule:

  • 8 hour shift

COVID-19 considerations:
A specific COVID-19 policy is in place.

Application question(s):

  • Are you legally authorized to work in Canada?

Experience:

  • Marketing: 3 years (preferred)

Marketing Associate


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