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10 дней назад

Sr. Data Scientist, Rental - Google Analytics

112 710 - 183 140$
Формат работы
onsite
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. Data Scientist, Rental - Google Analytics (GA4/BigQuery/Python/SQL): Transforming digital behavioral data into actionable insights that improve site performance, digital investments, Rental revenue, and customer growth with an accent on conversion funnels, customer journeys, and measurement governance. Focus on advanced statistical analysis, attribution modeling, causal inference, machine learning, and building scalable analytics solutions.

Location: Based out of the Chicago, Illinois office. Relocation assistance is not available. Visa sponsorship is not available now or in the future.

Salary: $112,710–$183,140 per year

Company

hirify.global is a global manufacturer of construction and mining equipment, engines, industrial gas turbines, and diesel-electric locomotives, with a digital and technology arm focused on analytics and connected assets.

What you will do

  • Analyze GA4 behavioral and clickstream data to define, track, and improve core site metrics.
  • Evaluate conversion funnels and digital customer journeys to identify opportunities for stronger engagement and lead generation.
  • Estimate lead value and apply attribution modeling and causal inference to optimize digital investments.
  • Develop the Rental BI and analytics roadmap with senior leadership, product owners, and the Rental and Used Strategy team.
  • Gather business requirements, define KPIs and metrics, and translate complex data into actionable recommendations.
  • Support data-driven product development, dealer operations, Rental revenue growth, and product utilization.

Requirements

  • Typically, a bachelor's or higher degree in data science, analytics, computer science, engineering, statistics, mathematics, finance, or a related quantitative discipline.
  • 6+ years of professional experience in quantitative analysis or data management.
  • Hands-on proficiency with Google Analytics GA4, BigQuery, Python, SQL, and BI tools.
  • Experience with Python analytics libraries including NumPy, SciPy, and pandas.
  • Advanced statistical analysis experience, including regression, hypothesis testing, and ANOVA.
  • Experience with machine learning techniques, data visualization, requirements analysis, and data storytelling.

Culture & Benefits

  • Work with a Fortune 100 company and emerging technologies on a global scale.
  • Medical, dental, and vision benefits, paid time off, and parental and adoption benefits.
  • 401(k), HSA, FSA, disability, life insurance, and voluntary benefits.
  • Career development, tuition reimbursement, incentive bonus, and employee assistance programs.

Hiring process

  • Employment is conditional on successful completion of a drug screen.

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