Data Scientist
Sensor TowerPosted 5/31/2025
Data Scientist
Sensor Tower
Job Location
Job Summary
We are seeking a Data Scientist to work on machine learning models, analyze data pipelines, and collaborate with engineers to create data visualizations. As a hybrid Data Scientist and Software Engineer, you will take ownership of the back-end of products and work on projects such as prototype development, query performance analysis, and ad-hoc data analysis. You will have opportunities to work with large datasets, adjust for bias, and communicate effectively with technical and non-technical stakeholders. With experience in Python or Ruby, statistical modeling techniques, and database management, you will be an integral part of our team. We offer flexible remote work options, a travel stipend, and equity in a fast-growing company.
Job Description
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.
