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Data Scientist, Advanced Analytics

Date: 14-Oct-2021

Location: Toronto (GTA), CA, M5A 1L1

Company: CONA Services

Facility Location- Toronto  

Work Location -   

Posting Locations - Toronto (GTA)

Department - Commercial Growth Strategy & Execution

Job Function - Administrative/Clerical/Office Support

Employee Type -  Regular Employee FT  Salaried

Shift/Hours –  

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 centres, and 5 production facilities nationwide.
We have a 120-year heritage of manufacturing, marketing, selling, and distributing the major branded ready-to-drink products Canadians love.
 
Our brands include: Coca-Cola®, Diet Coke®, Coca-Cola® Zero Sugar, Coca-Cola Life™, Sprite®, Fanta®, Barq’s®, NESTEA®, POWERADE®, Minute Maid®, DASANI® and Vitaminwater®; and our partner brands: Canada Dry®, Monster Energy®, and A&W®.

About This Opportunity

The Data Scientist, Advanced Analytics (Commercial Growth Strategy & Execution Department) role(s) is reporting directly to the Senior Manager, Data Science or Manager, Data Science, Advanced Analytics with the role(s) principally based at the Toronto King St office with work-from-home flexibility.

 

The successful candidate will be a key contributor to the data science sub-team in Advanced Analytics – a department within the Commercial Growth Strategy & Execution broader team. This advanced analytics team is responsible for driving the development, leadership, and improvement of all commercial analytics modeling & output responsibilities and the group needed to drive a culture of advanced analytics for Coke Canada inclusive of categories, brands, channel, customer, and product analysis from descriptive through to predictive stages.

 

The focus of this individual will be to contribute to the structure, building, and utilization of tools that identify opportunities and risks and form outputs that can be readily useable for live pilots and full executions with our other department partners. In this data science focused team, this individual will have direct accountability for use of the data and the models built in addition to the usability of the insights and pipeline of areas of innovation for the team. This role is dependent on a high level of collaboration with all levels of the organization to deliver on a significant results-oriented responsibility. This role operates in both direct contribution as well as indirect stewardship of cross functional members utilizing analytics. This individual is essential to meeting our future profitable growth goals and those of our customers in a fact-based manner as Coca-Cola Canada Bottling Ltd.

Responsibilities

Commercial Analytics

  • Key contributor for the development of Coke Canada commercial analytics tools and communication of implementation strategies 
  • Key support and responsible for the results of innovation cannibalization, collision matrix, customer and consumer segmentation, brand attribute analysis, store clustering, and channel pilot projects for revenue improvement 
  • 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 
  • Accountable for the development for analytics use cases for revenue and profit acceleration on assigned projects.

 
Team Management and Coaching

  • Indirect support and coaching for total company analytical initiatives and data science acceleration plans 

Annual & Long-term Revenue Planning Process

  • 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 

Ad-hoc Support and Reporting Management

  • Support requests for both the individual and the team’s analysis including ad-hoc, monthly, and YTD reporting with an emphasis on results vs predictions
  • Post-audit and compliance tracking for all projects and routines
  • Support ad-hoc requests for deep dives and productivity projects
  • Assist in analyzing and providing insights with retail data, shipment data, demographics, brand attribute, customer information, and financial P&Ls

Process Improvement Management Projects

  • Key item accountability within routines and rituals including project management, meeting ownership, documentation, cross-functional alignment, and measurement. 
  • Development of a continuous list of ongoing process improvement projects.
    • Ownership of assigned new process improvement charters and project management from investigation through to implementation with cross functional teams

Qualifications

Skills and Behaviours

  • Collaborative mindset
  • Coaching and mentorship
  • Exceptional attention to detail and analytical thinking
  • Problem solver that finds efficiencies through innovation
  • Customer and Consumer first mindset
  • Affinity for trial & error mentality
  • A/B testing culture support
  • Progress over perfection mentality with usability & simplicity at the forefront of decision making
  • Project management and/or routine management experience an asset
  • Performance driven with ability to meet deadlines in a fast-paced environment
  • Willingness to learn with a team-oriented attitude
  • Ability to explain a data science project, problem, or insight in a story-telling manner at both a ’10 000 feet’ view for executives as well as at a detailed ‘roll-up your sleeves’ manner the advanced analytics team

 
 Job Qualifications

  • Bachelor’s degree in a relevant field (business or analytics is considered an asset) with a master’s degree an asset
  • 3+ years of data science-based and analytics roles
  • Prior experience in CPG industry, finance functions, category management, RGM, or statistics an asset 
  • Sales experience an asset in field sales, account management, or merchandising
  • Strong proficiency with R, python, Power BI, Azure, Snowflake
  • Strong proficiency with statistical and machine learning techniques (Multivariate regression, Random Forests, XGBoost, Neural Networks).
  • Strong proficiency with demand, elasticity, marketing mix, multi-arm bandit models, as well as linear and non-linear optimization algorithms.
  • Strong proficiency in office functions particularly in excel and PowerPoint

Important

All offers of employment at Coca-Cola Canada Bottling Limited (“Coke Canada”) are conditional upon a successful background clearance obtained through our contracted third-party vendor. The standard clearance requirements depend on the position and may include some or all of the following: criminal clearance, employment verification, education verification and driver’s abstract review. Please advise the Talent Acquisition team if you have any questions or concerns in regard to this once you are contacted for further consideration. 

Coke Canada is committed to creating a diverse and inclusive workforce with a number of programs, policies and resources in place to support our people. 
For individuals with disabilities, should you require accommodations or support throughout the recruitment process please contact our Talent Acquisition Services team by calling 1-844-383-2653 or email HR@cokecanada.com.

For more information about Coke Canada Bottling, please visit cokecanada.com