Remote Data Scientist

Description:

• Data Scientists at Sensor Tower are hybrid Data Scientists and Software Engineers.
• The role involves taking data from 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 are working on.
• The position requires a hands-on thinker to help harvest new insights from a growing foundation of quantitative information collected from the mobile app ecosystem.
• Responsibilities include prototyping machine learning models in Python or Ruby, analyzing query performance for calculation efficiency, and writing tests for machine learning model implementations.
• Collaboration with back-end engineers is necessary to understand the raw data being collected.
• Data Scientists will also work with front-end engineers to create data visualizations for both external and internal customers.
• Conducting ad-hoc data analysis based on requests from the Sales, CSM, or Contents team is part of the job.
• Presenting results of various data analyses is also required.

Requirements:

• A Master’s degree or above in mathematics, statistics, or computer science is required.
• Candidates should have 3+ years of applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries, or 2+ years of applied experience in data science in mobile market intelligence.
• The ability to write production-ready code in Python and Ruby is essential.
• Experience with adjusting data for bias is necessary.
• Substantial experience with databases, querying data, and data structure manipulation is required.
• Candidates must be able to communicate effectively with both technical developers and non-technical marketing business partners.
• The ability to produce rough timelines for deliveries and a solid understanding of the steps necessary to complete a project is important.
• Candidates should be able to come up with a rough project structure from scratch.
• The ability to critically analyze given data, ask probing questions, and perform independent research is required.
• Substantial knowledge of statistical modeling techniques is necessary.
• Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets is required.

Benefits:

• The job offers the opportunity to work in a dynamic and growing field within the mobile app ecosystem.
• Employees will have the chance to take full ownership of their projects and contribute to significant insights.
• Collaboration with various teams enhances the learning and development experience.
• The role provides a platform for applying advanced statistical modeling techniques and machine learning in real-world scenarios.
• Employees can expect a supportive environment that encourages critical thinking and innovation.