Sr. Manager Data Science (Dark Stores Intelligence)
Контакты
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
data sciencedata engineeringmachine learningdeep learningexperimentationcausal inferencepersonalizationdynamic pricingdemand forecastingml platform
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$150к$150кмедиана$150к
5 в выборке
На СНГ рынке: $4.4к/мес ($3.9к - $5.6к)
83
Хорошая вакансия
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Роль дает широкую ответственность за ML в продакшене, эксперименты и управление командой в крупной продуктовой компании, но охват обязанностей может означать большую нагрузку на стыке функций.
Широкий охват
Актуальные методы
Влияние на стратегию
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Manager Data Science (Dark Stores Intelligence) (Machine Learning/causal inference): Leading ML teams and developing production machine-learning solutions for price optimization, operational efficiency, personalization, demand forecasting, and experimentation with an accent on end-to-end ML workflows and rigorous impact measurement. Focus on designing causal experiments, building scalable ML platforms, deploying online and batch inference systems, and mentoring data and ML professionals.
Location: Dubai, UAE
Company
hirify.global is a regional on-demand food and Q-commerce delivery platform serving customers, restaurants, local shops, and riders across eight countries.
What you will do
Lead and manage the ML team within the Global QC Hub, setting the roadmap, priorities, and success criteria with engineering, product, and business partners.
Own the end-to-end ML workflow, including opportunity identification, problem formulation, dataset development, modeling, training, evaluation, and production deployment.
Develop ML solutions for dynamic pricing, uplift modeling, counterfactuals, assortment, personalization, demand forecasting, promotion optimization, and operational intelligence.
Lead experimentation and causal inference, including A/B, multivariate, switchback, and geo experiments, incrementality measurement, uplift modeling, and matching.
Own data analytics, data engineering, data modeling, reporting, and the ML platform covering feature management, continuous training, serving, and online and batch inference.
Coach and mentor ML engineers, data scientists, and data engineers; drive recruitment, technical decisions, implementation, deployment, and organizational development.
Requirements
Expertise in classical machine learning and deep learning, with strong experience using both classical ML and deep learning frameworks.
Familiarity with classical data structures and algorithms.
Experience deploying and managing production ML systems at scale.
Experience with recommendation, personalization, search, or logistics problems.
Strong experiment design and statistical analysis skills, including running and analyzing A/B and multivariate tests.
Strong causal thinking and hands-on experience with incrementality measurement and uplift modeling; experience with switchback testing, geo testing, marketing mix modeling, and matching such as PSM.
Bachelor’s degree in engineering, computer science, technology, or a similar field.
10+ years of overall experience in software engineering and data, spanning multiple data disciplines; 8+ years in machine learning and 3+ years in engineering management in ML engineering or a related area.
Nice to have
Experience in process optimization or workflow automation.
Experience with data pipelines, data modeling, and data reporting.
Postgraduate degree.
Culture & Benefits
Work within a high-performance culture focused on excellence in craft and leadership principles.
Collaborate with data, product, engineering, and business teams across hirify.global and Delivery Hero.
Total compensation may include benefits, equity, and variable bonuses for predefined roles.
hirify.global is a 6,000+ employee organization operating across the MENA region.
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