Staff Data Scientist

Remote • Posted 60+ days ago • Updated 3 hours ago
Full Time
Remote
USD $203,200.00 - 274,900.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Onboarding
  • Boost
  • Roadmaps
  • Reporting
  • Dashboard
  • Acquisition
  • Monetization
  • User Experience
  • Data Science
  • Marketing
  • Product Engineering
  • User Research
  • Product Marketing
  • Business Intelligence
  • SQL
  • Analytical Skill
  • Regression Analysis
  • Decision Trees
  • Communication
  • Leadership
  • Scripting
  • R
  • Python
  • Analytics
  • SaaS
  • Statistics
  • Applied Mathematics
  • Economics
  • Computer Science

Summary

Role Description

We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal 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
  • 8+ 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
  • Deep 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
  • Proficiency in programming/scripting and knowledge of statistical packages like R or Python 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

$203,200-$274,900 USD

US Zone 3

$180,500-$244,300 USD
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX18b1ca
  • Position Id: d6a4d529e15b2d033fd0d5f1b272d6c6
  • Posted 30+ days ago
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