Valnet Inc.

Valnet | Data Scientist

Montreal, QC, Canada
Full Time
Entry Level

Location: Montreal

Job Type: Full-Time

About the Role:

We are seeking a data-driven, business-savvy Data Scientist to support our publishing businesses. Reporting directly to the 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.
Key Responsibilities:

Data Analysis & Insights
  • 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.
Business Strategy & Decision Support
  • 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 automotive and travel media.
  • Automate reports and dashboards for real-time performance tracking.
Collaboration & Implementation
  • 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.
Requirements:

Technical Skills
  • 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.
Business & Industry Knowledge
  • Understanding of digital publishing, content performance metrics, and online advertising (CPM, RPM, CPC models).
  • Experience in automotive and/or travel media is a plus.
  • Ability to translate complex data into actionable business insights.
Soft Skills
  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication and presentation skills for non-technical stakeholders.
  • Ability to work independently while collaborating cross-functionally.
Preferred Qualifications:
  • 3-5+ years of experience in a data science or analytics role.
  • Background in digital media, publishing, or advertising analytics.
  • Experience with machine learning applications in content optimization.
  • Degree in Data Science, Statistics, Computer Science, Economics, or a related field.
Why Join Us?
  • Work in a fast-paced, data-driven publishing environment with leading automotive and travel brands.
  • Direct impact on business growth, content strategy, and revenue optimization.
  • Collaborative and innovative culture with opportunities for professional growth.
Who we areValnet 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!
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