The company is looking to develop a Marketing Data Science and Analytics strategy and accelerate the predictive DnA journey from insights to fully operational AI/ML-based solutions.
Requirements
- Comprehensive practical and theoretical knowledge in the areas of Marketing Technology platforms sufficient to be considered an expert in this area.
- Extensive hands-on leadership of Advanced Analytics teams utilizing coding languages such as SQL, SAS, Python, R, and Unix.
- Well versed in Salesforce tools such as Marketing Cloud, Ad Studio, and Interaction Studio; experience with Marketing Automation tools such as Persado and Marketo; experience in Google Analytics and Adobe Analytics (certificates preferred).
- Familiar with Marketing measurement and attribution solutions such as Marketing Mix Modeling, Multi-Touch Attribution, and/or Unified Measurement.
- Experience with supervised and unsupervised learning algorithms and their application to large data sets.
- Relevant data engineering experience to architect/prototype solutions (e.g. ETL, apps, etc.).
- Experience with statistical programming languages/packages (Python, R, SAS, Scipy, etc.).
Responsibilities
- Develops and tests model-based proof of concepts and prototypes to assess feasibility and value-creation potential that address valuable business opportunities.
- Leverages advanced analytics/AI to support marketing strategy, drive acquisition, develop advanced data science capabilities, and power BI/BR dashboards and reporting.
- Provides expertise in deployment of modern server-side analytics framework for both the US and Canada and required updates to US and CA campaign tagging architecture.
- Develops, implements and deploys, in collaboration with business, Risk and Technology partners, production AI/ML-based solutions that will be leveraged by stakeholders to drive value by reducing cost, creating revenue or mitigating risk.
- Provides expertise in upstream data engineering, data curation and data integrations in support of Marketing analytics and insights delivery; leveraging the Data Cloud to break down data silos, mobilize data, and achieve data-driven marketing analytics.
- Strategically formulates new and creative ideas for leveraging the business’s internal and external datasets to drive unique insights using AI/ML capabilities and joins in when needed to prototype, develop and formulate novel solutions.
- Keeps abreast of discipline trends and provides insights to the data science efforts on leading data science and analytic practices, trends, design, learning and development cycles.
Other
- Posses a university degree in Management Information systems, computer science, computer engineering or related. Advanced degree (e.g. MS, PhD) in a related field (e.g. Stats, Computer Science/Engineering).
- Minimum 10 years progressive work experience in the Marketing, computer science or IT industry including technical leadership, project management, and management responsibilities.
- 5+ years hands-on data science work experience; 5+ years managing a data science team.
- Well-developed presentation / analytical skills to: Provide detailed explanation and interpretation of factual and conceptual information and ideas and creatively and precisely articulate ideas that involve interpretation, analysis and assessment.
- Ability to partner cross-domain to solve problems and drive to recommendations.
- Experience working in a fluid/start-up environment and with external clients is a big plus.
