Tonal - Senior Data Scientist
Requirements
• Strong statistical experience in causal inference methods like Difference in Difference, propensity score matching, regression discontinuity analysis, and randomized control trials to help link product changes to business outcomes • Applied experience building and evaluating machine learning models for prediction, segmentation, or uplift in a product or business context • Ability to develop reproducible, scalable analytical notebooks and workflows that transition effectively from development to production environments • Experience partnering with product teams to define feature-level KPIs and building robust, well-documented dbt models to expose those metrics across analytics layers • Strong track record of creating clear, decision-oriented visualizations in tools such as Looker and Databricks that communicate insights unambiguously to cross-functional stakeholders • Tools and libraries: dbt, databricks, statsmodels, scipy, scikit-learn, causalml, prophet • Languages: sql, python, r • Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, [email protected]. All requests will be addressed and responded to in accordance with Tonal’s Accessibility Policy and local legislation.
Responsibilities
• Causal Inference • Design, implement, and productionalize statistically rigorous causal analyses to quantify the impact of product features on user behaviors, engagement metrics, and downstream business outcomes • Develop and maintain causal frameworks that link product interventions to behavioral change, engagement shifts, and business performance • Select and apply appropriate experimental and observational methods, leveraging regression- and ML-based approaches where appropriate to control for confounding and heterogeneity • Validate causal findings through robustness checks, sensitivity analyses, and clear articulation of assumptions and limitations • Translate results into clear, actionable recommendations that inform product strategy, marketing decisions, and executive-level prioritization • Develop analytical notebooks and workflows that are reproducible, scalable, and suitable for deployment in production environments • KPI Development • Partner with product and cross-functional stakeholders to define feature-level engagement and efficacy KPIs aligned with business objectives • Incorporate model-derived signals (e.g., predicted engagement, risk scores, uplift estimates) into KPI frameworks where appropriate to improve measurement and decision-making • Implement testing, documentation, and versioning practices to ensure KPI definitions are reliable, discoverable, and consistently interpreted • Maintain metric documentation and metadata to support self-service analytics and cross-functional consumption • Data Visualization • Design and deliver high-quality visualizations in Looker and Databricks that clearly communicate analytical and ML-driven insights without requiring supplemental explanation • Ensure visual outputs are intuitive, decision-oriented, and aligned with established data visualization best practices • Incorporate generative AI capabilities into visualization and analytics assets where appropriate to improve interpretability and cross-functional adoption • Support visualization governance by implementing CI/CD workflows, validation checks, and approval processes to ensure production dashboards meet quality and consistency standards prior to release
Benefits
• San Francisco$165K – $190K • We take into consideration an individual’s background, experience, and location in determining their salary. This role is also eligible for health insurance, retirement savings benefits, life insurance and disability benefits, flexible paid time off, parental leave, and other additional benefits. • Please Note: we have set up limits for applications for this role. The following limits apply to applications for all jobs within this group: • Candidates may not apply more than 3 times in any 60 day span • Candidates may not re-apply to the same role within 120 day(s) if not presented with an offer • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Please list your legal first and last name • or drag and drop here • What is the best number to reach you at?
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT