Freebird

Data Scientist

• Guide and optimize spend so it scales efficiently under contribution margin guardrails
• Define CAC ceilings tied to 12- and 24-month contribution margin
• Model diminishing returns and marginal efficiency curves to inform budget allocation
• Translate attribution constraints and measurement uncertainty into practical, decision-ready frameworks
• Interpret insights from MMM, incrementality tests, lift studies, or MTA frameworks and translate them into practical budget and investment decisions
• Identify which channels, audiences, creatives, and offers drive the highest-quality cohorts
• Support structured validation of new channels before meaningful scale
• Deliver clear monthly recommendations on where to scale, hold, or cut
• Build and maintain 12- and 24-month contribution margin tracking by acquisition cohort
• Develop survival curve diagnostics and retention performance visibility across key milestones
• Operationalize retention-adjusted CAC and payback thinking into acquisition decisions
• Identify acquisition sources that degrade churn, payback, LTV, or margin
• Evaluate pricing, discounts, and offers against downstream margin impact
• Create cohort-based forecasting views that improve decision quality without turning this role into FP&A
• Own tracking health across ad platforms, GA4, server-side events, ecommerce, and subscription systems
• Standardize UTMs, taxonomy, and core metric definitions so performance reporting is trusted
• Partner with Finance to align revenue, refunds, COGS, and contribution margin inputs
• Build automated dashboards and reduce manual reporting
• Create a clear source of truth for acquisition efficiency and long-term cohort performance
• Analyze tests and performance shifts across pricing, trial structure, billing cadence, onboarding, churn interventions, win-back, and upsell
• Provide decision criteria rooted in long-term contribution margin, not isolated metric lifts
• Deliver clear narratives on what changed, why it changed, and what to do next

Growth Analytics Lead

Ecommerce

• - Design and optimize high-impact ecommerce flows including product discovery, PDPs, checkout, subscriptions, billing, and post-purchase experiences.
• - Use customer research, usability testing, analytics, and experiment results to identify friction and inform design decisions.
• - Lead end-to-end design execution from problem definition through wireframes, prototypes, and final UI.
• - Partner closely with Product and Engineering to ensure designs are feasible, scalable, and ready for development.
• - Collaborate with Growth and Marketing teams to support experimentation, CRO initiatives, and performance-driven design improvements.
• - Design for experimentation, supporting A/B tests and iterating based on real-world performance.
• - Maintain and evolve design systems, components, and patterns to ensure consistency, accessibility, and quality.
• - Provide thoughtful feedback and mentorship to other designers as needed.

Growth Analytics Lead

Senior UX Designer, Ecommerce