3 дня назад
Staff Data Scientist (CRM & Lifecycle Marketing)
194 000 - 262 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (CRM & Lifecycle Marketing): Designing causal measurement, experimentation, customer journey analytics, and AI-native data products for TurboTax CRM with an accent on retention, personalization, and customer lifetime value. Focus on framing strategic business questions, evaluating non-deterministic AI systems, and building trusted agentic tools that guide Director- and VP-level decisions.
Location: Mountain View, San Diego, or San Francisco, California
Base pay: $194,000–$262,500 annually in Mountain View; additional cash bonus, equity rewards, and benefits may apply.
Company
is a financial technology platform behind products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Shape TurboTax CRM and lifecycle marketing strategy through metrics, analytical frameworks, learning plans, and testable hypotheses.
- Design experiments, holdouts, quasi-experiments, synthetic tests, and causal measurement for campaign incrementality, journey lift, channel mix, halo effects, and retention.
- Analyze customer journeys, audience segments, funnels, cohorts, and lifetime value to guide targeting, personalization, and marketing investment.
- Build dashboards, visualizations, self-service tools, and GenAI-powered applications for marketing and leadership.
- Identify and evaluate AI use cases for personalization, journey orchestration, and insight generation using golden datasets, LLM-as-judge review, and synthetic testing.
- Prototype data models, pipelines, and agentic systems, then partner with engineering to productionize reliable data products and governance.
Requirements
- 8+ years of experience in data science and analytics, with strategic impact in CRM, lifecycle marketing, growth, retention, or a related area.
- Deep expertise in causal inference, customer segmentation, journey analytics, experimentation design, and predictive modeling.
- Experience building reusable analytical frameworks and data products adopted by analytics and marketing teams.
- Fluency in SQL and Python or R, plus experience partnering with engineering on pipelines, instrumentation, and production data products.
- Strong communication and stakeholder-influence skills, including communication with Director- and VP-level leaders.
- Bachelor’s or master’s degree in statistics, mathematics, operations research, computer science, engineering, econometrics, or a related field.
Nice to have
- Hands-on experience with CRM platforms such as Braze and owned channels including email, push, SMS, and in-app messaging.
- Experience with journey-level measurement, marketing mix models, and multi-touch attribution.
Culture & Benefits
- Cross-functional partnership with Marketing, Product, Engineering, Finance, Tax leadership, and growth teams.
- Fast-paced, seasonal business environment with opportunities to influence major CRM and customer-value decisions.
- Competitive compensation with performance-based rewards.
- Potential eligibility for cash bonus, equity rewards, and employee benefits.
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