Data Scientist I
at CocaCola Canada Bottling Limited
Toronto, ON, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 26 Dec, 2024 | Not Specified | 28 Sep, 2024 | 3 year(s) or above | Elasticity,Python,Cpg,Marketing Mix,Dax,Learning Techniques,Qlikview,Analytics,Tableau,Demand,Neural Networks | No | No |
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Description:
QUALIFICATIONS
- Bachelor’s degree in a technical field or a quantitative field, Master’s degree is an asset.
- 3+ years of data science-based and analytics experience
- Strong proficiency in Python
- Databricks, Pyspark is considered an asset
- Experience in visualization tools such as Power Bl (preferred), Tableau or Qlikview
- Strong proficiency in statistical and machine learning techniques (Multivariate regression, Random Forests, XGBoost, Neural Networks)
- Strong proficiency in demand, elasticity, marketing mix, multi-arm bandit models, as well as linear and non linear optimization algorithms.
- Exceptional attention to detail and demonstrated ability to solve business problems through analytics.
- Ability to explain a data science project, problem, or insight in a story-telling manner to non-technical audience.
- Strong proficiency in advanced Excel, VBA/DAX an asset
- Prior experience in CPG or Retail industry an asset
ABOUT US: PROUDLY CANADIAN AND INDEPENDENTLY OWNED, WE ARE COKE CANADA!
Coca-Cola Canada Bottling Limited is Canada’s premier bottling company. We are an independently owned business encompassing over 5,800 associates, more than 50 sales and distribution centers, and 5 production facilities nationwide. For more information about Coke Canada Bottling, please visit cokecanada.com
Responsibilities:
- Key contributor for the development of Coke Canada commercial analytics tools and communication of implementation strategies
- Key contributor to the development of the trade spend optimization tools and processes for all channels in conjunction with other partner resources
- Key consult for partnership work on promotion offer testing (third-party) and ownership of post-audits for implementation opportunities and risk identification
- Development of analytics use cases for revenue and profit acceleration.
- Key consult within the process of planning the volume and revenue including scenario building, elasticity impacts, volume/rate/mix scenarios, and overall customer and category support.
- Support requests for analysis including ad-hoc, monthly, and YTD reporting with an emphasis on results vs predictions
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
Software Engineering
Graduate
A technical field or a quantitative field master's degree is an asset
Proficient
1
Toronto, ON, Canada