Senior Data Scientist I, Core

This is a fully remote position, open to applicants in United States.

📋 Description

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

• Contribute to the foundational company KPI framework, driver tree, and sensitivity model.

• Provide analytical support for planning and points allocation.

• Define certified metrics and resolve any conflicting definitions with stakeholders.

• Create KPI trees and decompositions that link product and business drivers to MAU, retention, ARPU, revenue, and margin.

• Model KPI drivers to assess direction, sensitivity, predictive strength, and time horizon of KPI-to-North-Star relationships.

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

• Develop scenarios and translate company objectives into specific workstream targets.

• Utilize observational causal methods, including diagnostics and robustness checks.

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

• Assess the accuracy, adoption, and enduring value of analytical outputs.

• Construct reproducible, validated analytical workflows using SQL and Python.

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

• Work with Product and Engineering teams to drive adoption.

• Provide actionable recommendations while clearly communicating sensitivity, assumptions, and uncertainties.

• Document and disseminate reusable methodologies.

⛳️ Requirements

• Over 5 years of experience in data science, machine learning, or applied analytics.

• Proven track record of owning complex analytical challenges in product-centric environments.

• Experience collaborating with various stakeholders to define and structure KPIs and their hierarchy.

• Ability to break down complex areas into manageable project plans.

• History of establishing trusted metric definitions and fostering 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.

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

• Familiarity with utilizing models for target setting or scenario planning while distinguishing between predictions and causal impacts.

• Experience in ML modeling, including regression, causal inference methodology, and graph models.

• Background in modeling relationships among multiple metrics.

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

• History of delivering reusable dashboards, diagnostic applications, or analytical frameworks that demonstrate accuracy, adoption, and decision-making impact.

• Experience in developing robust SQL/Python analytical resources and collaborating on productionization efforts.

• Proven history of documenting and sharing reusable methodologies.

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

🏝️ Benefits

• Equity options for full-time employees.

• 401(k) matching program dollar for dollar up to 4% of eligible pay.

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

• $10,000 annually for education reimbursement.

• Opportunities to participate in Employee Resource Groups and Inclusion Council.

• Flexible paid time off (PTO).

• Nine paid holidays throughout the year.

• A week-long break at the end of the year.

• Fourteen weeks of fully paid parental leave.

• Six additional weeks of paid recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for welcoming new family members.

• Flexible work environment with remote work options available across the US for US-based roles.

• Necessary hardware and software provided for home working.