What You Will Work On
- 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.
Experience We Are Looking For
- Master’s degree or above in mathematics, statistics, or computer science.
- 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence.
- Ability to write code that is ready for production (Python and Ruby preferred).
- Experience with adjusting data for bias.
- Substantial experience with databases, querying data, and data structure manipulation.
- Ability to communicate effectively with technical developers and non-technical marketing business partners.
- Ability to produce rough timelines for deliveries plus solid understanding of steps necessary to complete a project.
- Ability to come up with a rough project structure from scratch.
- Ability to critically analyse given data, ask probing questions, and perform own research.
- Substantial knowledge of statistical modeling techniques.
- Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets.
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What We Do
Sensor Tower cultivates responsibly sourced market intelligence that provides visibility into the trends shaping the global digital economy. Our customers use these insights to help them make better business decisions. Sensor Tower data is frequently cited by top-tier trusted media institutions, including the New York Times, Bloomberg, Reuters, CNBC and more, as well as financial and academic institutions.
Why Work With Us
As a globally distributed team that has achieved year-over-year profitability, we attribute our success to both our trusted, innovative product and our talented people. We place a strong emphasis on hiring self-starters who are driven, yet humble, always eager to learn and grow.
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