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Data Scientist I

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  • Job
    Full-time
    Mid Level
  • Consulting
    Data
  • Toronto

Requirements

  • 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

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

FAQs

What is the job title for this position?

The job title is Data Scientist I.

Where is the work location for this position?

The work location is in Toronto, and it operates on a hybrid model.

What type of employment is this position?

This position is for a regular full-time salaried employee.

What qualifications are required for this role?

A Bachelor's degree in a technical or quantitative field is required, and a Master's degree is considered an asset.

How many years of experience are required for this position?

A minimum of 3 years of data science-based and analytics experience is required.

What programming skills are necessary for this role?

Strong proficiency in Python is required, and experience with Databricks and Pyspark is considered an asset.

What visualization tools should candidates be familiar with?

Candidates should be familiar with Power BI (preferred), Tableau, or Qlikview.

What statistical and machine learning techniques should the candidate know?

Candidates should have strong proficiency in techniques including Multivariate regression, Random Forests, XGBoost, and Neural Networks.

Is experience in the CPG or Retail industry required?

No, but prior experience in the CPG or Retail industry is considered an asset.

What type of analytics use cases will the candidate be developing?

The candidate will be developing analytics use cases for revenue and profit acceleration.

Does Coca-Cola Canada Bottling conduct background checks?

Yes, all offers of employment are conditional upon a successful background clearance.

How does Coca-Cola Canada Bottling ensure diversity and inclusion in the workplace?

The company has several programs, policies, and resources in place to support a diverse and inclusive workforce.

Can candidates receive accommodations during the recruitment process?

Yes, individuals requiring accommodations or support during the recruitment process can contact the Talent Acquisition Services team for assistance.

Retail & Consumer Goods
Industry
10,001+
Employees
1892
Founded Year

Mission & Purpose

The Coca-Cola Company is a global beverage corporation that offers over 500 brands in more than 200 countries and territories, including well-known products such as Coca-Cola, Dasani, Fanta, and Sprite. Their ultimate mission is to refresh the world and inspire moments of optimism and happiness through their beverages. The company's purpose is to continually transform their portfolio by reducing sugar in their drinks, introducing innovative products, and minimising their environmental impact through initiatives like water replenishment and recycling. With their bottling partners, they employ over 700,000 people, contributing to economic opportunities in communities worldwide.