Closed listing
Data Scientist
- Montreal, QC, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Experience
- 1-5 years of experience in a data science, business intelligence, or analytical role
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Location: Onsite - Montreal
Who We Are
Valnet looking for a Data Scientist. Our editorial and discovery teams produce high-value content at scale, and we’re looking for a sharp Data Scientist to help us do it smarter.
This is an analytical and execution-focused role. You will work directly with the Brand Operator to identify where the biggest content opportunities lie, help manage and evaluate pitches from the discover-focused team, and build the data infrastructure that guides our strategic priorities.
Your insights will directly shape which wikis we build, how we grow our audience, and where we invest our team’s time
Key Responsibilities
Valnet is a company unlike any other. Here, you’ll work alongside passionate, dedicated individuals who bring their best every day, creating an environment that is as inspiring as it is challenging. We are innovative leaders, not passive followers, always pushing the boundaries of what’s possible in our industry. We encourage autonomy and value creative contributions, empowering you to shape meaningful change from day one. Moreover, we don’t just talk about culture – we make it our first priority, fostering a collaborative, fast-paced environment where talent is recognized and rewarded. In our true meritocratic structure, your career can develop quickly, giving you the opportunity to grow professionally and be generously rewarded for your achievements. But don’t take our word for it, visit our corporate website to see for yourself!
Who We Are
Valnet looking for a Data Scientist. Our editorial and discovery teams produce high-value content at scale, and we’re looking for a sharp Data Scientist to help us do it smarter.
This is an analytical and execution-focused role. You will work directly with the Brand Operator to identify where the biggest content opportunities lie, help manage and evaluate pitches from the discover-focused team, and build the data infrastructure that guides our strategic priorities.
Your insights will directly shape which wikis we build, how we grow our audience, and where we invest our team’s time
Key Responsibilities
- Analyze traffic, search, and engagement data to identify high-opportunity areas for wiki creation and content prioritization
- Build and maintain dashboards and analytical reports that give the team clear visibility into performance and growth
- Develop new AI analytical tools and agents that improve decision-making speed and accuracy
- Use SEO and audience data (Google Analytics, Google Search Console, and similar
- tools) to guide content strategy
- Help steer the team’s direction by translating complex data into clear, actionable
- priorities
- Manage and evaluate incoming pitches from the Google Discover focused team, using data-driven frameworks to assess potential impact
- Continuously iterate on reporting and tooling based on feedback and evolving business needs
- 1-5 years of experience in a data science, business intelligence, or analytical role
- Motivated and experienced in using AI tools to accelerate and enhance analytical workflows
- Strong communication skills, able to write clearly and produce audience-facing newsletters and reports
- Ability to build and ship analytical agents and reports, not just produce one-off analyses
- Comfortable operating with ambiguity and shifting priorities in a fast-paced digital media environment
- Bias toward execution and measurable outcomes
- Experience in gaming, digital media, or performance-driven content environments is a strong plus, but not required
- Full health insurance plan (including medical, dental, and vision).
- Daily on-site lunches, snacks, and coffee provided.
- Fitness subscription reimbursement program.
- Competitive compensation plan and bonus structure.
Valnet is a company unlike any other. Here, you’ll work alongside passionate, dedicated individuals who bring their best every day, creating an environment that is as inspiring as it is challenging. We are innovative leaders, not passive followers, always pushing the boundaries of what’s possible in our industry. We encourage autonomy and value creative contributions, empowering you to shape meaningful change from day one. Moreover, we don’t just talk about culture – we make it our first priority, fostering a collaborative, fast-paced environment where talent is recognized and rewarded. In our true meritocratic structure, your career can develop quickly, giving you the opportunity to grow professionally and be generously rewarded for your achievements. But don’t take our word for it, visit our corporate website to see for yourself!
More about this job
Responsibilities
Analyze traffic, search, and engagement data to identify content opportunities, evaluate pitches, and guide content and audience-growth priorities. Build and maintain dashboards, reports, and AI analytical tools or agents, translating findings into clear, actionable recommendations.
Requirements
Candidates should have 1–5 years of experience in data science, business intelligence, or an analytical role, and be motivated to use AI tools to improve analytical workflows. They should communicate clearly, build and deliver analytical tools and reports, work effectively amid ambiguity and changing priorities, and focus on measurable outcomes; gaming, digital media, or performance-driven content experience is a plus.
Skills
- Data Analysis
- Data Science
- Business Intelligence
- Dashboard Development
- Analytical Reporting
- AI Tools
- AI Agent Development
- SEO
- Google Analytics
- Google Search Console
- Audience Analytics
- Content Strategy
- Data-Driven Decision-Making
- Communication
- Newsletter Writing
- Pitch Evaluation
Benefits
- Health Insurance
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Daily On-Site Lunches
- Snacks And Coffee
- Bonus Structure
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Creative & Media
- Science & Research
Keywords
- Data Science
- Business Intelligence
- Data Analysis
- Traffic Data
- Search Data
- Engagement Data
- Dashboards
- Analytical Reports
- AI Tools
- AI Agents
- SEO
- Google Analytics
- Google Search Console
- Audience Data
- Content Strategy
- Content Prioritization
- Wiki Creation
- Google Discover
- Pitch Evaluation
- Decision-Making
- Digital Media
- Gaming
- Performance-Driven Content
- Audience Growth