Senior Manager, Measurement and Decision Science (AI)
Контакты
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aipythonsqlgitdata visualizationa b testingdeep learningoptimization algorithmscausal inferencepredictive modeling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности senior-уровня: аналитика, эксперименты и персонализация. Направление востребованное, но стоит учитывать быстрый темп и несколько параллельных инициатив.
Высокий темп
Современный стек
Понятная роль
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Manager, Measurement and Decision Science (AI): Leading advanced analytics, customer-level modeling, and in-market experimentation to create personalized experiences and improve customer engagement and lifetime value with an accent on predictive modeling, causal inference, and data-driven targeting. Focus on designing experiments, scaling modeling solutions into production, and translating analytical insights into business impact across marketing, pricing, digital, merchandising, and stores.
Location: Remote, United States of America
Company
hirify.global is a retail organization focused on customer engagement, personalization, merchandising, digital experiences, and store operations.
What you will do
Set the strategy and roadmap for measurement and decision science initiatives supporting personalized customer experiences.
Lead a team using big data, advanced analytics, customer-level modeling, segmentation, and predictive techniques to optimize engagement and lifetime value.
Design experiments, measure results, consolidate learnings, and scale successful targeting and personalization initiatives.
Oversee model runs, test activation, documentation, insight capture, and delivery of analytics assets to stakeholders.
Partner with Technology Machine Learning Engineering to roll out modeling solutions in production.
Develop talent, manage multiple strategic initiatives, and collaborate with Marketing, Pricing, Digital, Merchandising, Store, Personalization, Customer Strategy, and Media teams.
Requirements
Master’s degree in applied mathematics, data science, or a related quantitative field.
7+ years of relevant analytics experience, including 4+ years of leadership experience or team oversight.
Proficiency in Python for modeling, SQL for data manipulation, and Git.
Experience developing and scaling predictive models and optimization algorithms; retail experience is preferred.
Strong understanding of experimentation design and causal inference, including A/B testing, causal modeling, and test-and-learn frameworks.
Advanced proficiency in data analysis and statistical methods, with the ability to translate data into actionable insights.
Ability to perform the stated accountabilities, work at least 8 hours per day five days per week, occasionally work longer when needed, maintain regular attendance, follow company policies and dress code, complete training, collaborate effectively, and work in a fast-paced environment.
Ability to use a personal computer, plan and monitor activities across business units, oversee timely project completion, and comply with health and safety standards.
Nice to have
Ph.D. in hard sciences, computer science, engineering, or another applicable field.
Ability to influence, collaborate, and partner with teams and leaders across the organization.
Experience with cutting-edge frameworks such as AgentAI and deep learning.
Culture & Benefits
Remote full-time work with a standard schedule of at least 8 hours per day, five days per week.
High-performing, collaborative environment with coaching, feedback, cross-functional partnerships, and talent development.
Work involves multiple strategic initiatives, regular communication with leadership, and fast-paced execution.
Reasonable accommodations may be available for individuals with disabilities, absent undue hardship.
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