Digital Marketing Data Science Lead (Toronto, ON)

Key Skills

Java Programming, Python Programming, SQL, Agile methodologies, Big Data Technology, Natural Language Processing (NLP), NoSQL, Apache Airflow, R Programming, Marketo, Shell Scripting language, Linux Operating system, SPARK Programming

Job Description

The Global Investment Banking (GIB) Advanced Analytics team develops and deploys analytical tooling that complements the core client technology stack allowing Capital Markets businesses to identify new client opportunities, capture incremental wallet share, create scalable/reusable data assets for ad-hoc analysis, and expand the breadth of existing and prospective client relationships.

The team is looking for an outstanding Data Scientist to lead our digital marketing analytics efforts. In this role, the candidate will be responsible for the strategy and execution of building scalable and insight driven digital marketing analytics that focus on lead generation, campaign execution and broader brand strategy initiatives.

What will you do?

• Work closely with the Capital Markets Client & Marketing Strategy business to build and execute on the long-term digital marketing analytics roadmap while meeting immediate business asks
• Apply your skills in data exploration, statistical analysis and machine learning on a diverse number of data sources to identify insights and opportunities across various digital marketing channels
• Work to integrate the core marketing data stack into the broader client data stack for enhanced value-add insights
• Collaborate with data engineers, other data scientists and data architects across QTS to scale analytics initiatives from concept to production.

What do you need to succeed?

Must-have

• Degree in a quantitative field
• Strong development expertise in Python/R programming writing production-ready code.
• Strong data profiling, cleaning, engineering, mining and technical documentation skills
• Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference, time series)
• Experience with marketing automation platforms (e.g. Marketo, Salesforce Marketing Cloud, etc.)
• Experience with natural language processing (NLP) and supervised/unsupervised learning methodologies.
• Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders

Nice-to-have

• Experience developing interactive and sophisticated dashboards that communicate complex data insights to a diverse set business stakeholders
• Experience with big data technologies – parallel processing techniques and Apache Spark, NoSQL/SQL databases
• Proficiency in Linux environment, shell scripting, and Git
• Experience working with Palantir Foundry, Salesforce, Airflow, FastScore
• A keen interest in Investment Banking and Capital Markets

What’s in it for you?

• We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement
• R A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
• Leaders who support your development
• A dynamic, collaborative, and high-performing team
• Opportunities to do challenging work and grow your career
• Work-life integration