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Remote Data Scientistgrabjobs • United States
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Remote Data Scientist

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  • US
    United States
  • US
    United States
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À propos

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
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 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
Compensation US Zone 1
This role is not available in Zone 1 US Zone 2 $149,200
-
$201,800
USD US Zone 3 $132,600
-
$179,400
USD
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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