SeniorDataScientist,Sales

## Accountabilities Build, maintain, and optimize scalable data models supporting sales and commercial decision-making Design and implement machine learning models to improve sales targeting, forecasting, and customer engagement strategies Conduct advanced analyses and experimentation (including A/B testing) to evaluate business hypotheses and drive performance improvements Develop dashboards, reporting tools, and KPI frameworks to track commercial and revenue performance Collaborate with cross-functional teams including Sales, Product, Engineering, and Revenue Operations to translate business needs into analytical solutions Apply statistical methods and data science techniques to solve complex business problems and improve decision quality Support the development of predictive and decision science systems used to influence core business metrics Communicate insights and recommendations clearly to senior leadership and non-technical stakeholders Contribute to knowledge sharing and mentorship within the data science team Requirements: 5 plus years of experience in data science, decision science, or a related analytical role Strong proficiency in SQL and Python, with hands-on experience in data modeling and analysis Experience with data pipeline and transformation tools such as dbt and Airflow is a strong advantage Solid understanding of statistical methods, experimentation, and A/B testing frameworks Proven experience building and deploying machine learning models in production environments Strong business acumen with understanding of sales processes, customer behavior, and commercial strategy Excellent communication and stakeholder management skills, including experience presenting to senior leadership Experience mentoring or guiding junior team members in an individual or team capacity Ability to work effectively in a fast-paced, cross-functional, data-driven environment Benefits: Competitive annual compensation ranging from CA$151,200 to CA$189,000 plus equity part