Staff Data Scientist, Consumer in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Scientist, Consumer in Canada.

This role is an exciting opportunity for an experienced data scientist to shape product strategy and user experience at massive scale through data-driven decision-making. You will work on complex consumer challenges related to user acquisition, engagement, retention, and community growth, leveraging advanced analytics and experimentation techniques to influence strategic direction. The position combines deep technical expertise with strong business impact, requiring close collaboration with product, engineering, and design teams. You will play a key role in uncovering user behavior insights, defining success metrics, and guiding investment decisions through experimentation and causal analysis. As a senior individual contributor, you will also mentor other data scientists and help elevate analytical best practices across the organization. The environment is highly collaborative, fast-paced, and innovation-focused, offering the opportunity to solve ambiguous, high-impact problems at internet scale. This is an ideal role for someone who thrives on combining technical rigor with strategic influence.

You will be responsible for driving consumer product strategy and business decisions through advanced analytics, experimentation, and cross-functional collaboration.

• Identify strategic opportunities to improve user acquisition, engagement, retention, and overall product performance
• Conduct exploratory analyses and deliver actionable insights into user behaviors, community interactions, and product usage trends
• Influence product and business roadmaps through data-driven recommendations and strategic analysis
• Design, develop, and maintain business and product health metrics, including supporting ETL processes when needed
• Lead experimentation initiatives from hypothesis development and experimental design through analysis and recommendation delivery
• Apply statistical methods, causal inference techniques, and data modeling approaches to solve complex business problems
• Build self-service analytics tools and frameworks to improve data accessibility and literacy across teams
• Partner closely with product, engineering, and design stakeholders to ensure insights are integrated into product development decisions
• Mentor junior data scientists, promote analytical best practices, and contribute to scaling the impact of the data science organization
• Communicate complex technical findings effectively to both technical and non-technical audiences, including senior leadership

The ideal candidate is a highly analytical and strategic data science professional with strong technical expertise and proven experience influencing product decisions at scale.

• Master’s degree or PhD in Statistics, Mathematics, Economics, Physics, Operations Research, or a related quantitative field
• 10+ years of industry experience in applied science or data science roles for Master’s degree holders, or 6+ years for PhD holders
• Expert-level proficiency in SQL and relational databases
• Strong programming skills in Python and/or R for statistical analysis and modeling
• Proven experience using data to influence product strategy and business outcomes
• Strong understanding of experimentation frameworks, statistical analysis, and causal inference methodologies
• Ability to solve ambiguous problems using structured, hypothesis-driven, and data-supported approaches
• Excellent communication and stakeholder management skills, with experience presenting to senior leadership
• Demonstrated mentorship experience and ability to guide and elevate other data scientists
• Strong business acumen combined with curiosity, initiative, and a bias toward action
• Ability to communicate complex technical concepts clearly to technical and non-technical audiences alike
• Experience working in fast-paced, highly collaborative product organizations is strongly preferred

• Flexible remote work environment
• Comprehensive medical and healthcare coverage
• Mental health, coaching, and wellness support programs
• Family planning and gender-affirming care benefits
• Retirement savings plan with employer matching contributions
• Paid parental leave and caregiving support programs
• Flexible vacation policy and paid volunteer time off
• Professional development and continuous learning opportunities
• Inclusive and collaborative workplace culture focused on innovation and impact