26 Data Scientist jobs in Montréal

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 (SQL, Tableau, Python) 
• Analyze customer data to gather knowledge, generate insights, create value and support decision-making.
• Define and develop our research topics within your area of expertise
• Apply a variety of visualization techniques and design the content and appearance of data visuals
• Translate the business questions and challenges from the stakeholders into Audience Analytics projects. 
• 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; Conduct meetings and coordinate different interlocutors (finance, research, marketing) 
• Provide strategic audience recommendations to stakeholders

What you'll bring

• Proficient in Python & SQL
• Strong analytical and synthesis skills; ability to analyze raw data, draw conclusions, and develop actionable and strategic recommendations 
• Strong quantitative skills, and experience utilizing scientific analytic methods, familiar with qualitative research methods, using data from interviews, surveys
• 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 written and oral communication skills

Ubisoft’s 19,000 team members, working across more than 30 countries around the world, are bound by a common mission: enrich players’ lives with original and memorable gaming experiences. Their commitment and talent have brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come.  

Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves.  
When you join Ubi MTL, you discover a workplace that sparks inspiration and connection. We offer a collaborative space that provides career advancement, a host of learning opportunities, and meaningful benefits centred on well-being. 

If you are excited about solving game-changing challenges, harnessing cutting-edge technologies, and pushing the boundaries of entertainment, we invite you to join us on our journey and help us create the unknown. 

At Ubisoft, you can come as you are. We embrace diversity in all its forms. We’re committed to fostering a work environment that is inclusive and respectful of all differences. 

Job Description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

• A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
• 1-2 years' experience developing solutions and working with Python
• Confident extracting and manipulating data from SQL and noSQL stores
• Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks’ vacation
• Relocation Package

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

• 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
• Strong analytical skills working with unstructured data sets
• Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
• Strong experience with big data services like Spark, Kafka, Rabbit
• Experience working with Startups are considered a bonus
• Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

Location: In-office, Montreal

Job Overview:

We are seeking a data-driven, business-savvy Data Scientist to support our Sports brands. Reporting directly to the Sports Portfolio Manager, you will analyze audience behavior, content performance, advertising revenue, and market trends to drive data-informed decisions. Your insights will optimize content strategies, audience engagement, ad monetization, and business growth in competitive digital publishing environments.

Responsibilities:

• Analyze website traffic, audience demographics, and user engagement using Google Analytics, BigQuery, and other relevant tools.
• Develop predictive models to forecast content performance, revenue trends, and audience growth.
• Measure the effectiveness of SEO, social media, and paid marketing campaigns, providing actionable recommendations.
• Identify trends in ad revenue, affiliate performance, and subscription data to optimize monetization strategies.

• Work closely with the Portfolio Manager to translate data into insights that drive editorial, marketing, and revenue decisions.
• Provide competitive analysis, benchmarking our publications against industry leaders in sports media.
• Automate reports and dashboards for real-time performance tracking.

• Partner with content leads and operation leads to align data strategies with business goals.
• Work with developers and IT teams to improve data infrastructure, tracking systems, and analytics tools.
• Present findings to executive leadership and key stakeholders in clear, business-oriented reports.

• Strong expertise in Python, R, SQL, and data visualization tools (Tableau, Looker, Power BI).
• Experience with Google Analytics, Google Search Console, and digital marketing analytics.
• Knowledge of A/B testing methodologies and predictive modeling.
• Familiarity with ad tech, affiliate analytics, and audience segmentation.

• Understanding of digital publishing, content performance metrics, and online advertising (CPM, RPM, CPC models).
• Experience in sports media is a plus.
• Passion for sports.
• Ability to translate complex data into actionable business insights.

• Strong problem-solving and critical-thinking abilities.
• Excellent communication and presentation skills for non-technical stakeholders.
• Ability to work independently while collaborating cross-functionally.

Benefits:

• Health Insurance Coverage (medical, dental, and vision).
• Daily on-site meals & snacks.
• Fitness reimbursement program.
• Competitive compensation plans and bonus structures.

Who We Are:

Valnet Inc. is the leading digital publishing and media investment company, owning and operating over 25 authoritative brands across diverse verticals, including entertainment, sports, technology, automotive, gaming, lifestyle, and travel. Specializing in acquiring, operating, and growing media properties, Valnet is committed to excellence and innovation in the digital media space.

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Job Description

Job Description

Ubisoft Entertainment is looking for a Senior Data Scientist to lead business solutions for CRM personalized campaigns and operations, ensuring models and services deployment for personalized solutions such as players recommendations or Gen AI narratives through various CRM channels (In Game news, client banners and overlays, emails, notifications…) and working closely with operation to guarantee campaigns performance and bringing new ideas to the business. The position is based in Montreal.

Ideal candidate has a scientific background with solid experience in Machine Learning projects management.

What you'll do

· Envision new personalized solutions and their feasibility with CRM ops and management

· Improve and optimize our in-production solutions in collaboration with ops and management

· Guarantee the monitoring and performance of our running personalized campaigns

· Lead development for required new models and services

· Ensure the feasibility and deployment of personalized campaigns

· Promote our solutions and make them easy to understand and use, thanks to presentations, dashboards, documentation, UI.

· Fully understand Ubisoft tech stack necessary for CRM campaigns and operations

· Define and push clear specifications and evolution required from tech partners (Data Office, Online Services…) on the various Ubisoft channels CRM uses

· Bring leadership and enthusiasm around personalized solutions and ML/Gen AI technology

What you'll bring

· A Data Science or Data Engineer background

· Good knowledge of Python, Spark and SQL languages

· Experience in leading deployment of ML solutions in a business context

· Experience in project management

· Good understanding of big data environment and tech (Cloud Data platform, Container, API services) and ML ops

· Experience working with Databricks and Snowflake a plus

· Good understanding of CI/CD development and service delivery

· Bilingual French/English

· Very good communication and collaborative skills

· A good sense of business perspectives and priorities

· A good interest in video games and knowledge of the video game industry a plus

Ubisoft’s 19,000 team members, working across more than 30 countries around the world, are bound by a common mission: enrich players’ lives with original and memorable gaming experiences. Their commitment and talent have brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come.  
Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves.  
When you join Ubi MTL, you discover a workplace that sparks inspiration and connection. We offer a collaborative space that provides career advancement, a host of learning opportunities, and meaningful benefits centred on well-being. If you are excited about solving game-changing challenges, harnessing cutting-edge technologies, and pushing the boundaries of entertainment, we invite you to join us on our journey and help us create the unknown. 

At Ubisoft, you can come as you are. We embrace diversity in all its forms. We’re committed to fostering a work environment that is inclusive and respectful of all differences. 

Job Description

About GivingTuesday

GivingTuesday is a global generosity movement unleashing the power of people and  organizations to transform their communities and the world. The organization works with partners across sectors and borders to understand the drivers and impacts of generosity, explore giving behaviors and patterns, and use data to inspire more giving around the world. GivingTuesday offers the largest philanthropic data collaborative effort in the social sector — with unique, granular datasets from a wide range of organizations featuring key sector information

As we scale up, we are expanding our team of data scientists, researchers and engineers, who will continue to grow and improve our unique data assets, methodologies, and technical infrastructure. 

In pursuit of the goals and expansion of the data commons, GivingTuesday partners with key organizations to leverage their expertise to manage and lead different aspects of the work. These data & technology partners (DARO, With Intent) manage staff, projects, and ongoing functions for the data commons with dedicated staff embedded in GivingTuesday in those capacities in cross-functional roles. This role is one of these positions - managed by our partner organizations but embedded in GivingTuesday’s Data Team.

Data Scientist

Our global data science team works on a diverse set of problems and projects related to learning, insights, and impact measurement in the nonprofit sector. We are looking for a Data Scientist to join our growing team, where they will work with data engineers, analysts, and other team members to develop compelling and useful knowledge products for GivingTuesday stakeholders, including academics, data partners, the social/nonprofit sector, and the general public.

In this role you will:

• Work with a wide range of data types including donation data, transaction records, government and census data, nonprofit tax filings, survey data on perceptions and activity, and philanthropic investment account data, gathered from collaborators and institutional partners in the nonprofit ecosystem
• Deliver and write analyses with actionable insights and communicate these findings to cross functional stakeholders of varying technical levels
• Manage key datasets and improve their usability by creating database dictionaries and user documentation
• Improve existing data processing pipelines, automate recurrent operations on core datasets 
• Create impactful data visualisations and interactive data dashboards for stakeholders

We are looking for someone with:

• Interest in the nonprofit and philanthropic sector and use of data to promote better social outcomes
• Advanced analytical skills in a research context, conducting exploratory analysis and mapping data flows, integration of datasets, and reviewing data sources and tools
• Experience with statistical methods including hypothesis testing, regression analysis, and sampling techniques for the purposes of social science research (such as economics, mixed methods) and/ or business analytics
• Experience working with scripting languages (Python required) and data querying languages (SQL preferred)
• Solid data visualisation skills and an aptitude for translating technical outputs into compelling stories
• Experience with software development tools and practices (e.g. version control, testing outputs, and applying QA processes)
• Understanding of legislation around privacy and best practices for securing data
• Solid relationship management skills, with the ability to collaborate with a variety of internal and external stakeholders on complex research initiatives
• Outstanding written and oral communication skills in English and an ability to communicate clearly and directly
• Attention to detail and ability to synthesise diverse datasets 

GivingTuesday is actively seeking candidates with unique and diverse work backgrounds to grow our team. We are especially excited to talk to you if have: 

• Programming skills: Python, PySpark, SQL, Databricks, Git, pandas 
• Data Manipulation and Exploration 
• Advanced Modelling: Regressions, Clustering, Dimensionality Reduction, Classification, Bayesian, Time-Series Analysis, prompt engineering
• Experience working with data platforms such as Databricks (or other forms of cloud data lakes/warehouses/lakehouses)
• An advanced degree in a quantitative research-field (definitely not required!). Non-degreed candidates must possess an extensive public record of competent, curiosity-driven data exploration on github, huggingface, kaggle, stackoverflow or similar.

Location & Work Hours

Remote.

We are happy to consider applicants based in countries outside of where this is posted. 

This is a full-time position. We are looking for candidates who can overlap with a 9:00 to 5:00 EST work-day, with some flexibility. 

Compensation

Our compensation is competitive and tailored to align with cost-of-living differences across various regions. We look forward to meeting candidates from diverse backgrounds who can bring unique perspectives to our team! 

For applicants in Canada, our expected salary range is $70,000 to $110,000 CAD per year.  

GivingTuesday is committed to a work environment where our employees feel included, valued, and heard. If you require any accessibility accommodation in the interviewing process please let us know.

We know that applying for a job takes a lot of time and energy and we treat every application with care and attention. Only those applicants who are selected will be contacted. To apply, please provide your resume and a short cover letter describing your interest in the position. 

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