Senior Data Scientist

Role Description

We're looking for a

Senior

Data Scientist

to partner with product

, engineering, and design

teams to answer key questions a

nd drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality.

We solve challenging problems and boost business growth through

a

deep understanding of

user

behaviors with

applied

analytics

techniques

and business

insight

s

.

An i

deal candidate should have

robust knowledge

of consumer lifecycle

,

behavior analysis

, and

customer segmentation.

We’re looking for someone who can bring opinions and strong narrative framing to proactively influence the business.

Responsibilities

• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments

• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights

• 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.

• Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data.

• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments

• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written

• Understand what matters most and prioritize ruthlessly

• Work with cross-functional teams
  (including
  Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• 6
  +
  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

• D
  eep understanding of statistical analysis
  , experimentation design, and
  common
  analytical
  techniques like regression
  , decision trees

• Solid background in running multivariate experiments to optimize a product or revenue flow

• Strong verbal and written communication skills

• Strong leadership and influence skills

• P
  roficiency
  in programming/scripting
  and
  knowledge of statistical packages like
  Pytho
  n
  is a plus

Preferred Qualifications

• Product analytics experience in a SAAS company

• Masters’ or above in a quantitative discipline:
  Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

Compensation

Canada Pay Range

$157,300

—

$212,700 CAD