Senior Staff Data Scientist

Webflow; Canada; Remote; CAD 120,000 - 150,000; Full time

Job summary

A progressive technology company in Canada is seeking a Senior Staff Data Scientist to drive their data strategy and mentoring efforts. The ideal candidate will have 8+ years of experience in data science, expertise in applied statistics, and proficiency in SQL and programming languages like Python or R. This position involves collaboration with various teams to enhance user experience and strategic decision-making.

Benefits

Equity ownership (RSUs)

100% employer-paid healthcare, vision, and dental

12 weeks of paid parental leave

Flexible PTO

Access to mental wellness programs

Qualifications

• 8+ years of experience in a Data Science position.
• Experience in mentoring team members.
• Expertise in applied statistics and experimentation.

Responsibilities

• Define and lead the long-term data strategy.
• Partner with senior leaders to prioritize data opportunities.
• Mentor Data Scientists and provide strategic guidance.

Skills

Experienced in Data Science

Mentoring skills

Statistical analysis

SQL proficiency

Collaboration

Education

BA/BS degree or equivalent experience

Tools

Python

R

Job description

About the role

We’re adding a Senior Staff Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience.

Responsibilities

• Drive Data Strategy at Company Scale: Define and lead Webflow’s long-term data strategy, ensuring that insights, experimentation, and measurement frameworks that meaningfully influence company-wide priorities and executive decision-making.
• Architect Data-Informed Product Direction: Partner with senior leaders across Product, Engineering, Design, Marketing, and User Research to identify and prioritize opportunities where data can unlock step-function improvements in user experience, growth, and business outcomes.
• Evolve Metrics and Measurement Systems: Establish, standardize, and continuously refine product and business metrics that represent Webflow’s success — ensuring they reflect a deep understanding of customer behavior and long-term value creation.
• Advance Experimentation and Causal Inference Practices: Lead Webflow’s experimentation strategy by mentoring teams on sophisticated experimental design, causal inference, and Bayesian modeling approaches. Set best-in-class standards for measuring product impact and scaling learnings across the organization.
• Mentor and Grow Data Talent: Serve as a technical and strategic mentor to Data Scientists across levels. Provide guidance on analytical rigor, experimentation design, storytelling with data, and career development. Foster a culture of learning, collaboration, and excellence across the broader Data organization.
• Build the Next Generation of Data Infrastructure: Collaborate with Data Engineering and platform teams to strengthen Webflow’s data foundations — ensuring scalable, high-quality systems that provide a holistic view of the customer journey and business performance.

About you

Requirements:

• BA/BS degree or equivalent experience

You’ll thrive as a Staff Data Scientist if you:

• Have 8+ years of experience in a Data Science (or similar) position
• Have interest and experience in mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice
• Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same
• Have expertise in applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members
• Have proficiency in SQL, and experience with a programming language like Python or R
• Curious about diving into the nuances of our business and product data
• Thrive collaborating with product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems

Our Core Behaviors

• Build lasting customer trust. We build trust by taking action that puts customer trust first.
• Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
• Reinvet ourselves. We don't just improve what exists, we imagine what's possible.
• Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar.

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company
• 100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement
• Flexible PTO for all locations and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support work and wellness
• 401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity Employer and are committed to building an inclusive global team. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.