9 дней назад
Director of Decision Science
180 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Decision Science (Decision Science/Data Science): Building and leading a decision science function that uses experiments, causal and predictive models, and analytical insights to guide product, pricing, go-to-market, and operating decisions with an accent on analytical rigor, team development, and ethical data use. Focus on setting the function roadmap, developing large-scale analytical models, partnering with executive stakeholders, and translating complex findings into actionable recommendations.
Location: US-REMOTE
Salary: $180,000–$200,000 estimated base salary annually, plus bonus
Company
Builds products that support learning, education, personal development, and career growth.
What you will do
- Build, lead, hire, coach, and develop the decision science team.
- Set the function strategy, roadmap, priorities, success measures, and analytical standards.
- Partner with product, engineering, marketing, finance, and executive leadership to translate business questions into actionable analyses.
- Direct predictive, prescriptive, and causal modeling for product decisions, retention, pricing, and operating efficiency.
- Present findings to senior leaders, improve data literacy, and raise the quality of dashboards, metrics, written recommendations, and executive readouts.
- Work with data engineering and platform teams on data, tooling, infrastructure, privacy, and ethical use of student data.
Requirements
- 10+ years of experience in data science, analytics, or decision science, including at least 3 years managing and developing a team.
- Deep expertise in experimental design, causal inference, statistical modeling, and machine learning.
- Strong SQL skills and fluency in Python or R.
- Experience with modern data platforms and large-scale tools such as Snowflake, Databricks, or Spark.
- Ability to explain complex analysis to executives and defend methodologies to technical peers.
- Master's or PhD in statistics, economics, computer science, operations research, applied mathematics, or a related quantitative field, or equivalent practical experience.
Nice to have
- Experience in education technology or B2B SaaS.
- Familiarity with subscription and product-led growth metrics, including retention, expansion, and adoption.
- Experience building an analytics or decision science function from an early stage.
Culture & Benefits
- Competitive compensation and an ownership program for full-time employees.
- Flexible collaboration across remote, hybrid, and in-office environments depending on role, team, and location.
- Generous time off, local holidays, and an annual late-December recharge period based on departmental needs.
- Wellness programs, mental health support, professional development resources, and tuition reimbursement.
- Inclusive culture with employee recognition and the technology needed to perform the role.
Hiring process
- Background check and identity verification are required.
- Identity verification may include legal name, current physical location, contact number, and residential address in accordance with local privacy laws.
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