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2 дня назад

Sr. Manager, Data Science (Marketing)

129 700 - 226 900$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Manager, Data Science (Marketing) (Predictive Analytics and Machine Learning): Leading the development and deployment of advanced analytics solutions that turn marketing and business opportunities into measurable value with an accent on predictive modeling, forecasting, and large-scale data analysis. Focus on managing data scientists, designing machine learning solutions, scaling analytics in Azure and Databricks, and driving adoption of data-driven insights.

Location: Oak Brook, Illinois, United States; hybrid

Salary: $129,700–$226,900 annual base pay, plus benefits, 401(k) contribution, and eligibility for a short-term incentive plan.

Company

hirify.global Group develops intelligent access solutions powered by myQ technology for homeowners, businesses, and communities worldwide.

What you will do

  • Partner with business leaders to understand strategies, initiatives, and success metrics, and identify opportunities for advanced analytics.
  • Lead, manage, coach, recruit, onboard, and develop a high-performing team of data scientists.
  • Drive the data science methodology and practices strategy across the organization.
  • Lead technical engagements with business stakeholders and senior leaders, and educate users on advanced analytical concepts.
  • Design, develop, and deploy predictive and prescriptive analytics models and solutions.
  • Drive adoption of insights and models, manage external data science vendors, and support measurable business impact.

Requirements

  • Master’s degree in data science, statistics, mathematics, econometrics, engineering, or another quantitative field.
  • 8+ years of relevant experience, including 2+ years directly managing data scientists.
  • Expertise in statistics, advanced analytics, forecasting, predictive modeling, network analysis, cluster analysis, and machine learning algorithms.
  • Advanced expertise in Python, R, and SQL.
  • Experience with Databricks or similar data science tools, distributed computing, large-scale data, and cloud analytics such as Azure.
  • Strong problem-solving, communication, collaboration, change-management, and stakeholder-influence skills.

Nice to have

  • Doctorate in a quantitative field.
  • Experience leading end-to-end data science implementations with Agile methodologies.
  • Experience in analytical consulting.

Culture & Benefits

  • High-visibility role with direct interaction with senior leaders.
  • Comprehensive benefits package and 401(k) contribution, subject to eligibility.
  • Short-term incentive plan participation, subject to applicable plans and policies.
  • Inclusive equal-opportunity workplace committed to welcoming people from diverse backgrounds and lived experiences.

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