We are hiring a Senior Data Scientist to join our Data Science team!

As a Senior Data Scientist, you will be…

• Driving Customer Value with Data Insights: Providing key customers with meaningful data, analyses, dashboards, and advice on operational best practices, managing customer relationships regarding data insights, and ensuring their data needs are met.
• Empowering Spare with Actionable Insights: Helping teams across Spare (especially Product, Sales, and Customer Success) gain access to the data and insights they need to make informed decisions and perform their functions effectively.
• Shaping Spare's Strategy with Data Insights: Working with leadership to shape strategic decisions across the organization through data-driven insights.

This role follows a hybrid schedule. We require team members to be in the office on Mondays, Wednesdays, and Fridays, with the option to work remotely on Tuesdays and Thursdays. Our office is located in downtown Vancouver, and we believe this balance fosters strong collaboration while supporting flexibility.

Responsibilities :

• Prioritize and Manage Requests : Handle and prioritize incoming data requests from both internal teams and external customers, ensuring timely and effective responses to their needs.
• Data Analysis and Reporting : Perform detailed analyses using SQL, Python, and BI tools like Metabase or Mixpanel to extract insights, answer business questions, and develop/maintain dashboards and reports for stakeholders.
• Insight Communication : Present findings and actionable recommendations clearly to a range of audiences, including non-technical stakeholders and customers, ensuring understanding and impact.
• Consulting and Collaboration : Act as a data consultant for key customers, advising on best practices, while working closely with internal teams (e.g., Product, Sales) to address their data needs and support their initiatives.
• Process Improvement and Alignment : Gather feedback to enhance data processes, participate in planning and alignment meetings across teams, and collaborate with Data Engineering to improve infrastructure, models, and pipelines.
• Governance and Advocacy : Ensure data integrity, privacy compliance, and maintain clear documentation, while championing data-driven decision-making and fostering a data-centric culture across the organization.

Key Results:

• Improved Customer Satisfaction: Measured through qualitative feedback (pulse updates gathered by Partner Success Managers) and potentially quantitative measures like NPS scores related to data support.
• Effective Internal Support: Measured through qualitative feedback (e.g., retrospectives with internal teams) and quantitative metrics like internal NPS scores for data support, and tracking usage/adoption of data tools (e.g., Daily Active Users on Metabase dashboards).
• Timely & Accurate Data Delivery: Successfully managing and fulfilling the backlog of internal and external data requests according to agreed-upon priorities and timelines.
• Actionable Insights: Delivering analyses and insights that demonstrably inform customer operations or internal decision-making.

Must-Have:

• Intermediate to Senior-level expertise in data science.
• Strong technical ability in data analysis, insight generation, and working with large datasets.
• Experience with SQL, Pythona and other programming languages for data manipulation and analysis.
• Proficiency with BI tools (e.g., Metabase, Mixpanel, Tableau, PowerBI, or similar).
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, especially customers.
• Proven ability to manage customer relationships and act in a consultative capacity.
• Demonstrates Customer Obsession and the ability to Execute with Urgency (Spare Guiding Principles).

Nice-to-Have:

• An interest in Spare's mission and the transit industry.
• Experience working in a B2B/SaaS startup environment.

Don’t meet every single requirement?

Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification in the job posting.

At Spare, we are committed to creating a diverse and inclusive environment so we strongly encourage you to apply even if you don't believe you meet every single qualification outlined. We also do our best to respond to all applications we receive.