Role Description

We're looking for a

Data Scientist

to partner with product

, engineering, and design

teams to answer key questions about how to

grow revenue,

optimize product,

scale

and monetize the

business, and launch high-impact initiatives.

We solve challenging problems and boost business growth through

deep understanding of

user

behaviors with

applied

analytics

techniques

and business

insight

An i

deal candidate should have

robust knowledge

of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns

, monetization analytics

and business operations for a SaaS company

Responsibilities

Develop a deep understanding of customer journey phases and key business metrics
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.
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
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
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
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
P
roficiency
in programming/scripting
and
knowledge of statistical packages like R
or
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

Data Scientist

Compensation
US Zone 1

This role is not available in Zone 1
US Zone 2
$144,600
—
$195,600 USD
US Zone 3
$128,500
—
$173,900 USD