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2 дня назад

Lead Data Scientist (IoT)

102 600 - 193 425$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Data Scientist (IoT): Designing and deploying advanced analytics and machine learning solutions that transform business opportunities into measurable value, with an accent on predictive and prescriptive modeling, statistical analysis, and large-scale data processing. Focus on leading cross-functional projects, translating complex business problems into actionable insights, and scaling data science solutions in Databricks and Azure.

Location: Oak Brook, Illinois, with a hybrid work arrangement

Salary: $102,600–$193,425 per year, plus benefits, 401(k) contribution, and eligibility for a short-term incentive plan

Company

hirify.global Group develops intelligent access solutions and connected products through its myQ technology and LiftMaster and hirify.global brands.

What you will do

  • Partner with business leaders to understand strategies, initiatives, and success metrics.
  • Identify and apply analytical techniques to address business objectives.
  • Design, develop, and deploy predictive and prescriptive analytics, visualizations, and decision intelligence solutions.
  • Gather, cleanse, integrate, transform, and model data, including feature engineering and selection.
  • Develop standards and processes that ensure the quality and consistency of analytics solutions.
  • Direct associate and senior data scientists, contractors, and consultants on business projects.

Requirements

  • Master’s degree in data science, statistics, mathematics, econometrics, engineering, or another quantitative field.
  • 5+ years of relevant professional experience.
  • Expertise in statistics and machine learning, including regression, classification, time series analysis, clustering, simulation, and dimensionality reduction.
  • Proficiency in Python, R, and SQL, with experience handling large-scale data and distributed computing.
  • Experience with data science tools such as Databricks and cloud analytics platforms such as Azure.
  • Ability to lead projects and cross-functional teams and communicate complex concepts as actionable business insights.

Nice to have

  • Doctorate in a quantitative field.
  • Experience with Agile methodologies and data visualization tools such as Power BI.
  • Experience with IoT, software-defined customer experiences, or private-equity-backed companies.

Culture & Benefits

  • High-visibility work with direct collaboration with senior leaders.
  • Tangible impact on business transformation and growth.
  • Comprehensive benefits package and 401(k) contribution, subject to eligibility requirements.
  • Short-term incentive plan eligibility, subject to applicable plans and policies.
  • Inclusive equal-opportunity workplace committed to supporting employees from diverse backgrounds.

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