Staff Consultant, Data Science - Jobs in Toronto, ON

Job Description

Company DescriptionMerkle Cardinal Path, part of Dentsu Aegis Network, is a leading digital analytics and digital marketing firm focused on delivering insight, understanding, and outcomes that create a competitive advantage for our clients. We engage at the strategic, business, and technical levels to generate tangible and quantifiable value for our partners. Merkle Cardinal Path’s mission is: To know. To Share. To be our Partners’ competitive advantage. And our company culture reflects the importance of our peoples expertise, wellness, and happiness in everything we do.Merkle Cardinal Path is rapidly expanding its Google Marketing Platform strategy with our clients, including media strategy, activation, platform management, analytics, and managed services to deliver transformational outcomes.Job Description"Remote Opportunity"We are looking for Staff Data Science Consultants to join our team who will be responsible for providing clients with guidance on marketing analytics use cases and delivery of technical solutions built primarily on BigQuery and Google Cloud Platform. Ideal candidates will have experience in data preparation, analysis, and data modelling. This experience should include work analyzing and managing data within cloud hosted analytics environments.The candidate will work directly with various internal stake-holders to deliver ad-hoc analysis of raw data, statistical model development, research into emerging analytics trends, presentation development, as well as technology research. The position will help to expand our clients’ web analytics and digital marketing programs. Opportunities will include application of analytics skills within a robust cloud environment, as well as supporting modelling work relating to the analysis.The ideal candidate will have previous experience in the realm of data science, which includes data preparation, data analysis, statistical programming skills, and data visualization. For this job level, previous experience delivering data solutions for analytics is required. The ability to communicate to help gather requirements, coordinate with internal resources, and deliver clear value to clients is key. The consultant will have the ability to develop their data science skills and experience in working with Google Cloud Platform, with opportunities to learn a variety of related platforms (such as Looker, Tableau, Azure, and more).This position primarily supports the analysis of web analytics, mobile analytics, and marketing platform data. Experience with any of these tools is beneficial: Google Analytics, Adobe Analytics, Adobe Audience Manager, Google Campaign Manager, Google Display & Video 360, Salesforce Sales Cloud, Salesforce Marketing Cloud.Synthesize business needs and create business/functional design documents which can be used to build analysis and data models

• Client-facing skills which will include providing quantitative analyses, recommendations and presentations to clients
• Assess data for validity and work on required data preparation with attention to detail and alignment to business requirements
• Translate data into analytical outputs that enables our clients to answer fundamental questions that are central to their business success.
• Develops, implements, and supports methodologies, standards, and tools for analysis and data science work.
• Partners with insights and analysis team leads from the Digital Intelligence team as well as Digital Marketing team within Cardinal Path to help deliver quality insights as required
• Build cooperative, productive relationships with clients and vendors by utilizing excellent communication skills, while also interacting effectively internally and externally.
• Participation and development of data science and analytic products while identifying key areas for improvement of products and services.
• Research, prototype, and explore future, non-standard analytics approaches that push the limits of current analysis output.

QualificationsMinimum Qualifications:

• Bachelor’s degree in a technical field of study (Applied Statistics, Business Analytics, Operations Research, Computer Science, or relevant quantitative field) with a minimum of 3 years’ experience as an Analyst / Data Scientist or a Master’s degree with a minimum of 2 years’ experience as an Analyst / Data Scientist
• Proficiency with classical statistical modelling methods and machine learning techniques to solve complex business problems
• Strong Python skills for model design and development

• Proficiency with SQL and an experience working with cloud environments

• Experience visualizing and presenting data and analytics findings
• Self-motivation, creativity and ability to work independently in meeting deadlines
• Exceptional written and verbal communication skills and is comfortable working with remote teams

What will make you stand out:

• Understanding of performance marketing metrics and channels
• Previous experience with web analytics tools such as Adobe Marketing Cloud, Google Analytics, etc.
• Previous experience with marketing and media analytics including database marketing techniques, digital attribution and media mix modelling
• Familiarity with analyzing data for digital marketing and ecommerce, as well as all other non-digital aspects of a business

Additional InformationWe know through experience that different ideas, perspectives and backgrounds foster a stronger and more creative work environment that delivers better business results. We strive to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work. We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact Canada.Recruitment@dentsuaegis.com or to begin a conversation about your individual accessibility needs throughout the hiring process.#LI-MZ1Quick Apply

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