Data Scientists, Decisions - Customer App Platforms

Posted 6 days agoViewed

💎 Seniority level: Middle, 3+ years

📍 Location: Ukraine

🔍 Industry: Mobile App Development

⏳ Experience: 3+ years

🪄 Skills: PythonSQLData AnalysisETLMachine LearningData scienceAnalytical SkillsData visualizationData modelingA/B testing

3+ years of experience in a data science or analytics role, ideally with experience in mobile app platforms (iOS/Android)
Proficiency in SQL with the ability to write structured and efficient queries on large datasets
Strong programming skills, particularly in data science and visualization libraries (Python or R)
Experience designing and analyzing A/B experiments, particularly within mobile app features or user experience testing

Leverage data to provide insights on rider and driver app behavior, platform interactions, and app performance.
Identify improvement opportunities for mobile app features that drive engagement, retention, and user satisfaction.
Apply analytics, causal inference, and experimentation techniques to solve business problems related to app development and optimization.
Design and analyze experiments for app features; communicate results to technical and non-technical audiences to guide product decisions.
Build models to optimize app features, such as notifications, UI/UX interactions, and ride matching, improving the overall app experience.
Establish and monitor metrics to assess the health of Rider and Driver apps.
Develop and maintain analytical frameworks and dashboards to track app performance and guide ongoing improvements.
Partner with product managers, engineers, business development, and other stakeholders to translate analytical insights into decisions and action, ensuring alignment with product goals.
Design and implement data pipelines to support app data analysis and product implementation across iOS and Android platforms.

Posted 4 days ago

📍 Ukraine

🔍 Mobile App Platforms

🏢 Company: Lyft👥 5001-10000💰 $400,000,000 Post-IPO Equity over 4 years ago🫂 Last layoff about 2 years agoRide Sharing Transportation Apps Mobile Apps Software

🔧 Requirements

3+ years of experience in a data science or analytics role, ideally with experience in mobile app platforms (iOS/Android)
Proficiency in SQL with the ability to write structured and efficient queries on large datasets
Strong programming skills, particularly in data science and visualization libraries (Python or R)
Experience designing and analyzing A/B experiments, particularly within mobile app features or user experience testing
Demonstrated ability to conduct data analysis, solve complex business problems, and derive actionable insights

💡 Responsibilities

Leverage data to provide insights on rider and driver app behavior, platform interactions, and app performance.
Identify improvement opportunities for mobile app features that drive engagement, retention, and user satisfaction.
Apply analytics, causal inference, and experimentation techniques to solve business problems related to app development and optimization.
Design and analyze experiments for app features; communicate results to technical and non-technical audiences to guide product decisions.
Build models to optimize app features, such as notifications, UI/UX interactions, and ride matching, improving the overall app experience.
Establish and monitor metrics to assess the health of Rider and Driver apps.
Develop and maintain analytical frameworks and dashboards to track app performance and guide ongoing improvements.
Partner with product managers, engineers, business development, and other stakeholders to translate analytical insights into decisions and action, ensuring alignment with product goals.
Design and implement data pipelines to support app data analysis and product implementation across iOS and Android platforms.

PythonSQLData AnalysisETLData scienceCommunication SkillsAnalytical SkillsData visualizationData modelingA/B testing

Posted 4 days ago