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Senior Data Scientist, Sales

Canada
Hybrid
Posted Sep 15, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week

Job summary

You will lead high-priority initiatives by building data models, developing machine learning systems, and designing experiments to improve sales processes. Additionally, you will partner with cross-functional teams to translate complex data into actionable insights and strategic commercial decisions.

Job details

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist, Sales based in Canada. This role sits within a Sales Data function supporting a broad commercial organization through analytics, data modeling, experimentation, and machine learning. You will lead high-priority initiatives and act as a decision science expert, helping shape commercial strategy and AI-driven sales programs. Your work will directly influence business outcomes by turning complex data into actionable insights and scalable solutions. You will build reliable data models, develop machine learning systems, and design experiments that improve sales processes and customer engagement. The position offers extensive collaboration with teams across Data Science, Commercial Leadership, Sales Operations, Product, Design, and Engineering. You will also contribute to reporting, dashboards, and metrics that help stakeholders understand performance and make better decisions. The environment values ownership, continuous learning, knowledge sharing, and the ability to translate sophisticated analysis into meaningful business impact. \n 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. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

What you’ll do

Requirements

Candidates must have 5+ years of experience in data science and strong proficiency in SQL and Python. You are also required to have practical experience with machine learning production, statistical experimentation, and stakeholder management.

Benefits

• Health insurance • Life insurance • Long-term savings program • Employer matching • 20 vacation days • 4 wellness days • Unlimited sick days • Unlimited mental health days • Work from abroad flexibility • Employee resource groups