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Senior Manager - Data Science

Toronto, ON · Computer/Software

Job Description:

The role:
  • Provide quantitative analysis to key stakeholders to drive growth in the business
  • Strong business acumen and enjoy telling stories with data
  • Bring insights to optimize our business today and plan strategically for the future
  • Generate tactical and strategic recommendations to improve marketing effectiveness
  • Partner with senior leaders to evangelize data-driven business decisions and prioritize projects
What can we expect from you:
  • Develop statistical and machine learning algorithms to measure effectiveness of marketing
  • Design experiments and casual inference methods to find actionable insights
  • Build and maintain a data pipeline that can support complex data projects at scale
  • Manage and prioritize ad hoc requests for analysis from GBUs and COEs.
  • Develop core business metrics and create automated dashboards to track performance
  • Perform analysis on market conditions and overall trends using third party data sources
  • Drive forecasting model to be used in Integrated Marketing Reviews and Planning
  • Conduct Marketing Mix Measurement, campaign analysis, program optimization, customer segmentation, ROI analysis, and predictive modeling
  • Influence data science roadmap by performing exploratory analysis
  • Provide technical guidance and mentorship to junior team members on solution design
  • Create a set of heuristics backed by data that predicts product success
Who’s a good fit for this role:
  • Exceptional written and verbal communication skills, including ability to lead discussions with audiences of varying technical ability
  • Self-starter attitude with sharp business judgement
  • High attention to detail
  • Working knowledge of marketing mathematical tools and methods, marketing test and learn plans, ROI development and data mining/multivariate analysis
  • Thrive on finding creative solutions and adapting to constantly changing circumstances
  • Knowledgeable about best practices around data manipulation, building data pipelines, feature engineering and creating dashboards
  • Experience influencing strategy through data-centric presentations
  • Capable of tackling very loosely defined problems with minimal guidance
  • Experience working with real time and clickstream data
You should apply if you have the following:
  • 7+ years experience working with data and utilizing quantitative techniques
  • Bachelor’s degree from a top school (preferably in a quantitative field)
  • Expertise with at least two of the standard analysis tools: Excel, SQL, R, Python, Hadoop, Stata, SAS, etc.
  • Working knowledge of Unix command-line/shell, git and review board
  • Expertise running advanced analytics in a scripting language
  • Experience leveraging government data or publicly available APIs
  • 3+ years direct management experience of analysts and data scientists
  • Proven track record of writing elegant code and coaching others to improve technical outputs
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