Senior Data Scientist – Core

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Take ownership of a company-wide KPI, modeling, or measurement workstream from inception to delivery and adoption.

• Assist in the development of the core company KPI framework, encompassing its driver tree and sensitivity model.

• Contribute analysis for planning and allocation of points.

• Establish certified metrics and resolve discrepancies in definitions in collaboration with partners.

• Create KPI trees and decompose them to link product and business drivers to metrics such as MAU, retention, ARPU, revenue, and margin.

• Model KPI drivers and quantify aspects such as direction, sensitivity, predictive strength, and time horizons of KPI-to-North-Star relationships.

• Differentiate between arithmetic identities, predictive associations, and causal effects.

• Develop scenarios and translate company objectives into workstream targets.

• Employ established observational causal methods, incorporating diagnostics and robustness checks while making identification assumptions explicit.

• Create reproducible diagnostics and analytical tools based on certified data.

• Assess the accuracy, adoption, and ongoing value of deliverables.

• Develop reproducible, tested analytical workflows utilizing SQL and Python.

• Collaborate with Data Engineering on gold tables, data marts, and semantic layers.

• Work cross-functionally with Product and Engineering teams to promote adoption.

• Provide actionable recommendations and convey sensitivity, assumptions, and uncertainties clearly.

• Document and disseminate reusable methods.

⛳️ Requirements

• Minimum of 5 years of experience in data science, machine learning, or applied analytics, with a proven track record of managing complex analytical challenges in product-driven settings.

• Experience collaborating with multiple stakeholders to define KPIs and their hierarchical structure.

• Capability to structure complex scenarios into actionable project plans.

• Proven ability to establish trusted metric definitions and drive their adoption across Product, Finance, Commercial, and Engineering teams.

• Experience in building and validating models that connect user behavior and business drivers to retention, monetization, or overall company outcomes.

• Ability to present sensitivity estimates, leading indicators, time horizons, and out-of-sample predictive performance.

• Experience using models for target setting or scenario planning while differentiating between prediction and causal impact.

• Familiarity with machine learning modeling, including regression, causal inference methodologies, and graph models.

• Experience in modeling relationships across multiple metrics.

• Strong proficiency in SQL, Python, statistics, causal inference, and forecasting.

• Proven history of delivering reusable dashboards, diagnostic applications, or analytical frameworks, demonstrating accuracy, adoption, and impact on decision-making.

• Experience in building robust SQL/Python analytical assets and collaborating on their productionization.

• History of documenting and sharing reusable methods.

• Understanding of experimentation methodologies sufficient to identify patterns, concerns, and frameworks that assist product data scientists.

• Appropriate work authorization for the United States or Canada, as required.

🏝️ Benefits

• Equity for full-time employees.

• 401(k) plan with dollar-for-dollar matching up to 4% of eligible compensation.

• Comprehensive medical, dental, and vision insurance plans, including coverage for pets.

• Annual education reimbursement of up to $10,000.

• Employee Resource Groups.

• Flexible paid time off (PTO).

• Nine paid holidays (holidays may differ for roles based in Canada).

• One-week year-end break.

• 14 weeks of fully paid parental leave.

• An additional six weeks of paid childbirth recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 incentive for employees welcoming new family members to assist with childcare and related expenses.

• Flexible work environment.

• Provision of hardware and software for remote work.