Trouvez votre prochaine possibilité

Détails du poste

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Data Scientist based in Canada. As a Senior Staff Data Scientist, you will play a strategic role in shaping high-impact business decisions through rigorous, data-driven analysis. You will partner directly with senior executives and cross-functional leaders to turn complex, ambiguous questions into clear recommendations. The role combines deep technical expertise with strong business judgment, influencing long-term strategy across a mission-driven technology organization. You will work with large-scale, high-dimensional datasets and apply advanced statistical and analytical methods to solve challenging problems. Beyond individual projects, you will raise the technical bar for the broader Data Science organization through mentorship and technical leadership. Success in this role requires the ability to communicate complex insights clearly and influence decisions without relying on formal authority. This is an opportunity to combine analytical excellence, strategic thinking, and meaningful organizational impact in a fully remote Canadian environment. Accountabilities Shape high-priority business decisions by developing rigorous analyses, surfacing key insights, and translating ambiguity into clear, actionable recommendations. Partner closely with senior executives and cross-functional stakeholders to understand strategic questions, evaluate tradeoffs, and align teams around data-informed decisions. Design and deliver sophisticated analytical solutions for complex problems involving large-scale and high-dimensional datasets. Establish a high technical standard across analytical work through sound methodology, statistical rigor, thoughtful experimentation, and pragmatic execution. Build trusted relationships with leaders across the organization, using data and expertise to influence decisions and challenge assumptions constructively. Mentor data scientists and advise managers on technical direction, analytical approaches, and best practices. Contribute to the growth of the Data Science community by sharing expertise, elevating analytical quality, and helping establish effective technical practices. Requirements Extensive experience in data science, analytics, or a closely related discipline, with a track record of influencing high-impact business or strategic decisions. Deep technical expertise in Python or R, SQL, statistics, and modern data science tooling. Strong foundation in statistical and analytical methodologies, with the judgment to select appropriate approaches for complex and ambiguous problems. Demonstrated ability to translate sophisticated technical findings into concise, decision-ready recommendations for executive and non-technical audiences. Proven success influencing cross-functional teams and senior stakeholders without relying on formal authority. Excellent written and verbal communication skills, with the ability to explain complex concepts while maintaining analytical rigor. Experience mentoring data scientists, providing technical guidance, and raising the quality of analytical work across a broader organization. Curiosity about emerging technologies and the ability to assess when new tools or approaches can meaningfully improve analytical outcomes. Experience working across multiple industries, business domains, or problem spaces is a plus. Benefits Competitive performance-based bonus opportunities. Comprehensive medical, dental, and vision coverage. Generous retirement contributions with 100% immediate vesting. Quarterly company-wide wellness days. Country-specific holidays plus a day off for your birthday. One-time home office setup stipend. Annual professional development budget. Quarterly well-being stipend. Considerable paid parental leave. Fully remote work arrangement within Canada. Opportunity to work on high-impact, mission-driven technology initiatives. Compensation Canada Tier 1 locations: CAD $191,000-$255,000. Canada Tier 2 locations: CAD $173,000-$231,000. Compensation is determined based on factors such as location, experience, skills, and other applicable considerations. Additional compensation may include performance-based incentives and other benefits outlined above. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Ce que vous ferez

The role involves shaping high-impact business decisions through rigorous data analysis and partnering with senior executives to provide actionable recommendations. Additionally, the position focuses on raising the technical bar of the Data Science organization through mentorship and leadership.

Exigences

Requires extensive experience in data science with deep technical expertise in Python, R, SQL, and statistical methodologies. Candidates must demonstrate a proven ability to influence senior stakeholders and mentor other data scientists.

Avantages

• Performance-based Bonus • Medical Insurance • Dental Insurance • Vision Insurance • Retirement Contributions • Wellness Days • Birthday Day Off • Home Office Setup Stipend • Professional Development Budget • Well-being Stipend • Paid Parental Leave • Remote Work Arrangement

Compétences indiquées

• Python · Souhaitée
• SQL · Souhaitée
• Analyse de données · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• R
• SQL
• Statistics
• Data Analysis
• Strategic Thinking
• Executive Communication
• Mentorship
• Technical Leadership
• Experimental Design
• Analytical Methodology
• Stakeholder Management

Domaines d’emploi

• Data & Analytics
• Technology
• Science & Research
• Management & Leadership
• Engineering