1 день назад
Senior Director, Analytics and Data Science, Core Product & Growth
247 000 - 366 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, Analytics and Data Science, Core Product & Growth (Consumer Technology): Leading analytics and data science for acquisition, activation, engagement, retention, churn, and user growth with an accent on causal analysis, forecasting, experimentation, and AI-native workflows. Focus on building scalable analytical standards, embedding data science into product and engineering roadmaps, and developing high-performing teams that influence measurable business outcomes.
Location: Remote within the United States and Canada; the role is based in the United States
Salary: $247,000–$366,000 USD base salary per year, plus equity.
Company
Large-scale consumer technology organization operating in a data-rich environment with behavioral and location-related events, subscription activity, connected devices, and network effects.
What you will do
- Lead and develop decision scientists and data scientists while raising technical, strategic, and analytical quality standards.
- Own models and forecasts for monthly active user growth and its acquisition, activation, engagement, retention, and churn drivers.
- Lead exploratory and strategic analytics that convert behavioral insights into product and business priorities.
- Define standards for scoping, conducting, reviewing, communicating, and documenting analytical work.
- Partner with Product, Engineering, Marketing, Revenue Analytics, and Data Engineering leadership on metrics, experimentation, and roadmap decisions.
- Apply AI-native methods, coding agents, automated analysis, causal reasoning, and intelligent tooling while preserving appropriate human judgment.
Requirements
- 10+ years of experience in analytics, data science, decision science, or a related discipline, including at least 5 years of senior-level people management.
- Deep expertise in inferential and causal analytics, consumer behavior metrics, cohort analysis, engagement, retention, and churn.
- Experience forecasting a company-level business metric and being accountable for the outcomes.
- Strong SQL and Python or R skills, with experience using modern data and analytics platforms.
- Experience with Databricks, experimentation platforms such as Statsig, Tableau or comparable BI tools, and AI-native analytics tools such as Hex or AI/BI.
- Bachelor's degree or equivalent practical experience required, along with executive communication, prioritization, influencing, and stakeholder-management skills.
Nice to have
- Master's degree or PhD in social science, psychology, behavioral science, or a related field.
- Experience with B2C subscription businesses and embedded product and engineering teams.
- Familiarity with experimentation involving network effects.
Culture & Benefits
- Remote-first working environment within the United States and Canada.
- Medical, dental, vision, life, and disability insurance fully paid for US employees.
- Equity, 401(k) with company matching, paid parental leave, and flexible paid time off.
- Company holidays, summer and winter shutdown periods, and mental wellness and employee assistance programs.
- Learning and development support, equipment and remote-work reimbursements, and connected-device perks.
- Culture centered on integrity, direct communication, customer focus, and high-impact execution.
Hiring process
- Applications are matched using an AI-powered screening process and shortlisted candidates are shared with the hiring company.
- Interviews, assessments, and final hiring decisions are managed by the hiring company's internal team.
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