5 дней назад
Data Scientist - Data Analytics and Infrastructure
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist - Data Analytics and Infrastructure (Data Analytics/Infrastructure): Designing and maintaining data infrastructure, automated workflows, and scalable pipelines for complex datasets with an accent on data engineering, statistical analysis, and reliable analytics systems. Focus on building efficient data pipelines, designing schemas and tracking strategies, tuning performance, and delivering insights that support business decisions.
Location: Toronto, Canada
Company
Consulting firm providing engineering and data capabilities for startups and Fortune 500 clients.
What you will do
- Design and maintain data infrastructure for scalable, reliable analytics.
- Build and operate production data pipelines for large, complex datasets.
- Automate workflows and improve data accessibility across teams.
- Develop analytics systems that deliver high-quality insights for business decisions.
- Collaborate with engineers, data scientists, and stakeholders to solve complex problems.
Requirements
- Bachelor’s degree or higher in Computer Science, Data Engineering, or a related technical field.
- Production experience building and maintaining data pipelines and infrastructure.
- Proficiency in SQL and large-scale data wrangling with tools such as Spark, Airflow, or dbt.
- Strong knowledge of statistics, data modeling, and performance tuning.
- Python experience, including Pandas and NumPy, plus data visualization with Tableau or Power BI.
- Familiarity with AWS, GCP, or Azure and the ability to design data schemas and analytics tracking strategies.
Culture & Benefits
- Competitive compensation.
- Opportunity to work on projects aligned with individual interests and skills.
- Accountability-focused environment without micromanagement.
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