Data Scientist, Statistics and Modelling - 2 Year Contract
Torontoonsitemid
Posted today · via Workday
About this role
Number of Role Openings: 2 We are seeking a results-oriented data science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to design and deliver analytical measurement frameworks, perform advanced statistical models, build causal inference frameworks, and perform customer and program analytics. The data scientist will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. Strong background in statistics, causal models and experimental design preferred.…
Read the full description on Canadian Tire Corporation's site →
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, r, sql, databricks, azure…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Toronto. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonrsqldatabricksazuresparkteams