Data Scientist, Product Analytics
Liftoff Mobile
BigQueryNumpyPandasPythonScikit-LearnSparkSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
BigQueryNoSQLPythonSQL
About the role
- Transform complex datasets into clear, actionable insights that guide product and business decisions.
- Communicate findings effectively—both visually and verbally—to diverse audiences.
- Design and build machine learning models and collaborate with ML Engineers to deploy, monitor, and optimize them for speed, accuracy, and scalability.
- Work closely with Developers and Operations Research Scientists to integrate predictive insights that maximize organizational impact.
- Partner with Product Owners, Data Engineers, Business Analysts, and other stakeholders to define and track success metrics tied directly to business goals.
Requirements
- Master’s or PhD in a quantitative field such as Computer Science, Statistics, Computer Engineering, Mathematics or Physics.
- Proven professional experience applying data science and machine learning to large-scale problems.
- Highly proficient in Python with the ability to navigate and contribute to complex codebases.
- Skilled in querying and manipulating data from SQL and NoSQL systems.
- Familiarity using large-scale data platforms (e.g., Google BigQuery, Amazon Datastores).
- Applied knowledge of machine learning frameworks, real-time inference, and stream processing is a plus.
- Strong ability to translate analytical findings into clear business insights and present results effectively, both verbally and in writing.
- Comfortable explaining statistical and machine learning concepts to technical stakeholders.
