Senior Data Scientist, Sales

Accountabilities:

• • Data Modeling and Analytics: Build and maintain accurate, reliable data models while conducting exploratory analysis that uncovers opportunities to improve sales processes and commercial performance.
  • Machine Learning: Define, prototype, implement, improve, and maintain machine learning models that address real-world business challenges and contribute directly to key commercial objectives.
  • Sales Experimentation: Design and analyze experiments to test business hypotheses, such as identifying which customers should be prioritized for outbound sales activity, and use the results to guide decision-making.
  • Business Reporting: Develop and maintain reports, dashboards, and performance metrics that give stakeholders clear visibility into commercial results and support progress against key business goals.
  • Stakeholder Partnership: Collaborate with Data Science, Commercial Leadership, Sales Operations, Product, Design, Engineering, and other stakeholder groups to translate business needs into effective data-driven solutions.
  • Decision Science Leadership: Take ownership of high-priority initiatives and serve as a trusted decision science partner, using analytical expertise to influence strategic and operational decisions across the commercial organization.
  • Knowledge Sharing and Mentorship: Contribute to a culture of continuous learning by teaching teammates, sharing expertise, supporting colleagues, and helping others become more successful.

  Requirements

  • Data Science Experience: 5+ years of experience in data science, decision science, or an equivalent field, including experience serving as the primary data science owner for a business domain.
  • Technical Skills: Excellent SQL and Python skills, with hands-on experience working with data pipelines; familiarity with tools such as dbt and Airflow is an advantage.
  • Machine Learning: Strong understanding of fundamental machine learning algorithms and demonstrated experience putting machine learning models into production in real-world environments.
  • Statistics and Experimentation: Practical experience applying statistics and experimentation methodologies, including A/B testing, within an industry setting.
  • Business and Sales Acumen: Good understanding of business practices, sales processes, and client behavior, with the ability to connect technical analysis to commercial outcomes.
  • Stakeholder Management: Strong stakeholder management and communication skills, including the ability to clearly present analytical findings and recommendations to senior leadership.
  • Leadership and Mentoring: Experience managing or mentoring team members, either formally or informally, with a collaborative approach to developing others.
  • Analytical Mindset: Strong problem-solving abilities, curiosity, sound judgment, and the ability to take ownership of complex initiatives while working effectively across multidisciplinary teams.

  Benefits

  • Health and Insurance: Top-tier health benefits and life insurance coverage.
  • Long-Term Savings: Access to a long-term group savings program with employer matching.
  • Time Off: 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year.
  • Work From Abroad: The flexibility to work outside Canada for up to 90 days per year.
  • Hybrid Work: Join a hybrid team of more than 1,500 employees across North America, with opportunities to collaborate with talented and highly motivated colleagues.
  • Employee Resource Groups: Access to employee resource groups supporting communities including 2SLGBTQ+, women, and Black employees.
  • Inclusive Environment: A workplace committed to diversity, accessibility, and creating an environment where different perspectives and backgrounds are valued.
  • Accessible Hiring: Accommodations are available throughout the hiring process to support candidates with accessibility needs.