Назад
Company hidden
10 дней назад

Data Scientist

113 400 - 162 000CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Data Scientist (Python/SQL, Machine Learning): Turning large datasets into analyses, predictive models, experiments, and business recommendations across acquisition, engagement, retention, monetization, and fraud prevention with an accent on statistical rigor, experimentation, and stakeholder communication. Focus on designing causal analyses and A/B tests, defining reliable KPIs, and building models and reusable tools that guide product and marketing decisions.

Location: Waterloo, Ontario, Canada

Salary: CAD $113,400–$162,000 annually for Canada Intermediate level

Company

hirify.global provides free phone service and develops communication products designed to make phone service more accessible.

What you will do

  • Partner with product, marketing, finance, engineering, and trust and safety stakeholders to frame business questions and define success criteria.
  • Analyze large datasets to identify drivers of user acquisition, engagement, retention, revenue, and monetization.
  • Develop and evaluate predictive models, segmentation, forecasting, causal inference, and other machine learning methods.
  • Design, analyze, and interpret A/B tests and quasi-experiments for product and marketing decisions.
  • Build metrics, KPIs, dashboards, reusable analyses, and tools in collaboration with data engineering.
  • Communicate findings and actionable recommendations to technical and non-technical audiences, including senior leadership.

Requirements

  • 4+ years of experience in data science, product or business analytics, or a related quantitative role.
  • Strong Python and SQL skills for working with large datasets.
  • Solid knowledge of statistics, experimentation, A/B testing, and common machine learning techniques.
  • Ability to structure ambiguous business problems, work independently, and manage multiple priorities.
  • Strong written and verbal communication skills, including technical explanation, visualization, and presentation.
  • Experience with BI or product analytics tools such as Tableau, Looker, or Mixpanel, plus a quantitative degree or equivalent practical experience.

Nice to have

  • Experience with consumer mobile apps, subscriptions, or ad-supported businesses.
  • Experience with advanced causal inference, forecasting, optimization, fraud detection, or anomaly detection.
  • Experience with Snowflake, AWS, GCP, Databricks, dbt, or similar data tooling.
  • Hands-on use of AI to accelerate analysis or build data products.
  • A graduate degree in a quantitative field.

Culture & Benefits

  • Flexible work arrangements, including work-from-home, remote work, or access to office spaces.
  • Employee stock options, competitive pay, performance-based bonus, and unlimited vacation.
  • Health, dental, vision, disability, parental leave, and wellness or healthcare spending benefits.
  • RRSP matching in Canada and 401(k) in the USA.
  • Learning and development opportunities, paid holidays, and several company events or off-sites each year.
  • Inclusive culture focused on customer obsession, ownership, integrity, and continuous improvement.

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