Data Scientist (SaaS)

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.