We are looking for a Customer Marketing Data Scientist who combines strong technical expertise with the ability to own business problems end-to-end, partner with stakeholders, and drive decisions through data. In this role, you'll work hands-on with data while also acting as a key thought partner to Marketing and cross-functional teams. Your success will be defined not just by the models you build, but by your ability to translate insights into action and influence strategy. If you thrive in ambiguity, enjoy solving real business problems, and can clearly communicate data-driven recommendations to non-technical audiences, this could be your ideal fit. What you'll do: - End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through to insight delivery and business adoption, ensuring outcomes; not just outputs. - Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data. - Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels. - Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy. - Test-and-Learn Approach: Design experiments, iterate quickly, and continuously improve impact through data-driven learning. - Technical Execution: Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems. - Cross-Functional Delivery: Collaborate effectively across a geographically dispersed team, ensuring alignment, transparency, and progress. What you bring: - Bachelor's degree (or equivalent hands-on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field; certifications in analytics or AI/ML are an asset - 5 years of experience in marketing, customer analytics, or data science in a business-facing role - Proven ability to own analytics projects end-to-end; from problem definition through to insight adoption and measurable business impact - Strong problem-solving skills with the ability to translate ambiguous business questions into structured analytical approaches - Proficiency in SAS, Python, R, and/or SQL, with experience working with large, complex datasets - Experience working with cloud and data platforms such as Azure and Databricks - Experience with data visualization and BI tools such as Power BI, Tableau, or Looker to communicate insights effectively - Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques - Ability to connect technical outputs to clear business insights and strategic recommendations - Strong communication and storytelling skills; able to present complex ideas in a clear, concise, and actionable way for non-technical audiences - Comfortable partnering with and influencing stakeholders, with a proactive, curious, and outcome-driven mindset that balances hands-on execution with big-picture thinking - English proficiency is required to support the full North American business. Why join us: - Ability to connect technical work to business impact and strategy - Strong communication skills-able to make complex insights accessible and actionable - Comfortable engaging stakeholders, challenging assumptions, and guiding direction - Curious, proactive, and focused on delivering measurable outcomes Salary: $82,300 - $102,800 (based on skills, experience, qualifications, and geography). Eligible employees may earn performance-based incentives and have access to comprehensive benefits and retirement plans with matching contributions. This posting is a replacement for an existing vacancy. We do not use AI tools in the selection process and do not request pay history.