Data Scientist, Audience Analytics

Ubisoft; Montreal; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A global gaming company in Montreal is seeking a Data Scientist for Audience Analytics. The ideal candidate will gather and analyze data, develop machine learning models, and provide strategic insights to marketing teams. Proficiency in Python and SQL is essential, alongside fluency in both French and English. Join this dynamic team to enhance gaming experiences through data-driven decisions. This role embraces a hybrid work model.

Benefits

Hybrid work model

Work-life balance support

Qualifications

• Proficiency in Python and SQL required.
• Experience with lakehouse data platforms like Databricks or Snowflake.
• Strong analytical skills for drawing conclusions from raw data.

Responsibilities

• Gather and analyze customer data to generate insights.
• Lead development of data science initiatives for business objectives.
• Build machine learning models to predict player behavior.
• Support stakeholders with data science solutions.

Skills

Python

SQL

Machine Learning Principles

Data Analysis

Fluency in French

Fluency in English

Tools

Databricks

Snowflake

Job description

Job Description

The Data Scientist, Audience Analytics, will be responsible for gathering and analyzing customer data of a game portfolio, developing machine learning algorithms, working closely with business stakeholders, to provide clear insights about consumer behaviors, deliver strategic recommendations and build audience centric tools. You will be the main point of contact of marketing teams, translating their need into analytical and scientific projects, and using machine learning methods to provide them insights and support them all along the life of the game, on different business needs.

Audience Analytics team works with the business stakeholders such as CRM, Paid Media, AAA brand, Live brand and F2P teams located worldwide. Our goal is to support business stakeholders and strategic decisions by delivering them analytical insights about the consumer database and providing them a clear and granular snapshot of our players at a game, brand or transversal level.

What you'll do

• Create, manage and distribute data and insights utilizing analytics tools.
• Analyze customer data to gather knowledge, generate insights, create value and support decision-making.
• Lead the development of data science initiatives that leverage audiences, support business objectives and improve customer knowledge.
• Build and deploy machine learning models to predict player behavior.
• Be the main point of contact of the stakeholder teams.
• Understand the brand and marketing objectives and the major initiatives.
• Identify the most relevant methodology to answer the need.
• Deliver insight; Support stakeholders in leveraging DS solutions.
• Contribute innovative ideas and best practices to enhance data science methodologies within the team.

Qualifications

What you'll bring

• Proficient in Python & SQL.
• Experience working with lakehouse data platform (Databricks, Snowflake…)
• Strong analytical and synthesis skills; ability to analyze raw data, draw conclusions, and develop actionable and strategic recommendations.
• Machine Learning – Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• Proactivity, critical thinking and creativity with data.
• A highly collaborative spirit + excellent communication, interpersonal, and presentation skills.
• Excellent communication skills.
• Fluency in both French and English.

Additional Information

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance. Note, that some roles are fully office-based and are not eligible for hybrid work.