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2 дня назад

Sr. Manager, Data Science (Product & Engineering)

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 (Product & Engineering) (Advanced Analytics and Machine Learning): Leading data science teams in designing, developing, and deploying predictive and prescriptive models that advance business objectives with an accent on advanced analytics, machine learning, and large-scale cloud data. Focus on translating complex business problems into adopted solutions, scaling analytics in Azure and distributed environments, and coaching data scientists.

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 and myQ technology for homes, businesses, and communities worldwide.

What you will do

  • Partner with business leaders to understand strategy, initiatives, and success KPIs.
  • Lead, manage, coach, recruit, and onboard data scientists.
  • Drive data science methodology, practices, advanced analytics, and machine learning adoption.
  • Design, develop, and deploy predictive and prescriptive models and solutions.
  • Translate complex business problems into actionable data science outputs and drive adoption across teams.
  • Manage relationships with external data science resources and vendors.

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.
  • Advanced expertise in Python, R, and SQL.
  • Experience with Databricks, distributed computing, large-scale data, and cloud analytics such as Azure.
  • Strong communication, collaboration, problem-solving, leadership, and change-influence skills.

Nice to have

  • Doctorate degree in a relevant quantitative discipline.
  • Experience leading end-to-end data science implementations with Agile methodologies.
  • Experience in analytical consulting roles.

Culture & Benefits

  • Leadership responsibility for a high-performance data science team.
  • Performance management, compensation, feedback, and employee development responsibilities.
  • Comprehensive benefits package and 401(k) contribution, subject to eligibility.
  • Equal opportunity workplace committed to an inclusive environment.

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