Data Scientist

Sensor Tower

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Location
Lisbon

Job Description

Job Overview

Data Scientists at Sensor Tower are hybrid Data Scientists and Software Engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on and are instrumental in harvesting new insights from the growing foundation of quantitative information collected from the mobile app ecosystem.

Technical Requirements

Required Skills
  • • Python
  • • Ruby
  • • data analysis
  • • statistical modeling
  • • data visualization
Preferred Skills
  • • Jupyter Notebooks
  • • Excel
Experience Level

Master’s degree or above in mathematics, statistics, or computer science; 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling OR 2+ years applied experience in data science in mobile market intelligence.

Responsibilities

  • • Prototype machine learning models in Python or Ruby.
  • • Analyze query performance to ensure calculation efficiency.
  • • Write tests for the implementation of machine learning models.
  • • Collaborate with back-end engineers to understand the raw data being collected.
  • • Collaborate with front-end engineers to create data visualizations for both external and internal customers.
  • • Conduct ad-hoc data analysis based on requests from the Sales, CSM or Contents team.
  • • Present results of various data analysis.

Technical Environment

Languages

Benefits & Perks

  • • Flexible time off
  • • Health and wellness stipend
  • • Monthly internet stipend
  • • One-time $500 home office stipend

Additional Information

Location
Lisbon
Type
Full Time, Remote
Compensation
Not specified

About Sensor Tower

Sensor Tower provides market intelligence and insights for app developers and marketers to measure the digital economy.

Company Size
201-500
Categories
app insights Digital Advertising Market Intelligence Mobile Analytics