Назад
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12 дней назад

Principal Data Scientist (Construction)

129 000 - 189 200CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
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
Principal Data Scientist (Python/Construction): Building predictive and descriptive models to understand customer behavior, product adoption, retention, and lifetime value across Autodesk Construction Solutions with an accent on customer analytics, statistical modeling, and machine learning. Focus on leading data scientists and analysts, defining data science roadmaps, and translating complex analyses into actionable product and business strategy.

Location: Remote in Ontario, Canada. In-person onboarding and/or identity verification may be required.

Salary: CAD 129,000–189,200 annual base salary, with offers based on experience and geographic location. Additional compensation may include bonuses, stock grants, and benefits.

Company

hirify.global develops software that helps customers design, build, and operate buildings, infrastructure, products, and entertainment projects. hirify.global Construction Solutions connects workflows across design, pre-construction, construction, turnover, and operations.

What you will do

  • Apply data mining, analytics, and machine learning to understand customer product usage, adoption, and outcomes.
  • Build predictive and descriptive statistical models for customer lifetime value, retention, behavior, and trends.
  • Identify opportunities to improve products, business performance, adoption, and sales operations.
  • Lead junior and senior data scientists and analysts.
  • Define and execute data science roadmaps while owning complex projects from start to finish.
  • Translate complex analyses into actionable product and business strategy for technical and non-technical stakeholders.

Requirements

  • MS or PhD in mathematics, physical sciences, statistics, analytics, computer science, or a related field.
  • Proficiency in Python and experience with statistical programming and data science toolkits.
  • Experience with relational SQL and/or NoSQL databases and big data platforms such as Hadoop, Spark, or Hive.
  • Knowledge of statistics, hypothesis testing, regression, experimental design, and machine learning techniques.
  • Experience with customer analytics, data visualization, and reporting tools such as Domo, Looker, Tableau, or Power BI.
  • Strong communication skills and the ability to explain complex topics to technical and non-technical audiences.

Culture & Benefits

  • Collaborative work with product development teams and executive stakeholders.
  • Opportunity to solve complex, data-centric problems in the construction technology domain.
  • Remote work arrangement in Ontario, Canada.
  • Competitive compensation package with potential bonuses, stock grants, and comprehensive benefits.
  • Culture focused on belonging and meaningful work that supports better-designed and more sustainable outcomes.

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