TL;DR

Data Scientist (SaaS): Analyzing customer lifecycle, behavior, and engagement to optimize product, grow revenue, and launch high-impact initiatives with an accent on consumer lifecycle analysis and customer segmentation. Focus on experiment design, large data sets, and cross-functional collaboration.

Location: Remote - Canada: Select locations Alberta, British Columbia, Ontario, and Saskatchewan.

Company

%hirify_global% is a global community of bold visionaries and resourceful doers who are shaping the future of %hirify_global%—and with it the future of work.

What you will do

Develop a deep understanding of customer journey phases and key business metrics.
Perform analytical deep-dives to analyze problems and opportunities, identify hypotheses, and design & execute experiments.
Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes.
Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets.
Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments.

Requirements

Bachelors’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field.
3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting.
Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction.
Significant experience with SQL and large unstructured datasets such as Hadoop.
Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees.
Strong verbal and written communication skills.

Nice to have

Product analytics experience in a SAAS company.
Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field.

Culture & Benefits

Virtual First model combining the autonomy of a distributed workplace with the power of human connection.
Competitive medical, dental and vision coverage.
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh.
Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more.
Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support.
Mental health and wellness benefits.