Classy Wheeler Hiring! Full Time Product Manager - Data Scientist - Data Analyst - IC in Kowloon, Hong Kong, Earn up to HKD 80,000 - Ricebowl

US-based mobile operating system vendor

Data Analyst

Responsibilities

• Analyzing a wide range of data from app store, advertising system, several telemetry components and financial data to help find pain points, opportunities, things to celebrate and cool stats to share by the water cooler.
• Designing, maintaining and carefully studying reports and dashboards to get focusing on the right things. We expect you to not only be a wizard with analysis, but to have a curious and independent mindset.
• Interpret data and analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems and data analytics
• Acquire data from primary and secondary sources, filter and clean it
• Design analytics reports for useful business insights into end user behaviour, system performance etc
• Communicate with colleagues and other departments regularly to share results and determine future business needs
• Ensure data accuracy and continuously improve data quality

Product Manager

Responsibilities

• Work alongside Data Engineers, Data Analysts, Data Scientists, Machine Learning Engineers and DevOps Engineers. The Data team is in charge of everything that is driven by the vast and varied datasets produced by our platform and ecosystem - insight / analytics, data APIs and machine learning models and at-scale data systems to support it all.
• Data feeds, reports, dashboards, metrics & KPIs for varied internal and external constituencies
• Distillation of high-grade datasets that enable data science and machine learning
• Development, productization and refinement of machine learning models
• APIs powered by this data and models
• Initiatives to support data quality and completeness

Data Scientist

• Working with a team of world-class engineers and analysts to gain insight, optimize systems, and drive revenue. Your responsibilities will include designing, producing and improving ML & AI systems that will optimize some of the most crucial aspects of group's monetization strategy.
• Degree in Mathematics, Computer Science, BI & Data, preferably in Statistics
• At least 5 years' relevant experience in Commerce, mobile apps/gaming or other similar fields.
• Statistical and data mining techniques like GLM/Regression, Random Forest, Boosting, Trees etc.
• Statistical/data languages: R, Python, SQL etc.
• Web services: Redshift, S3, Athena etc.
• Creating and using advanced machine learning algorithms: simulation, clustering, neural networks, etc.
• Data/database tools: Excel, MySQL/PostgreSQL etc.
• Data visualization & presentation for stakeholders using: PowerBI, tableau etc.

Data Analyst

• Degree in Statistics, Mathematics, Computer Science, Information Management or related field
• Proven work experience in data analysis, database management or equivalent
• Skilled programmer (Python, JavaScript+HTML, Excel, etc)
• Proficiency in databases, modeling & transformation (SQL, relational & non-relational databases, ETL frameworks)
• Knowledge of statistics and experience using statistical packages (R, Python etc)
• Self-motivated, hardworking, proactive and energetic team player able to work independently
• Fluency in English

Product Manager

• At least 5 years of experience in dealing with data driven products
• Unpacking underlying value in data-related requests originating from various constituencies, prioritizing and breaking down the work
• Maintaining the team backlog and ensuring end-to-end delivery
• Working tirelessly to remove obstacles in the team’s path
• Engineering background
• Outstanding analytical thinking, organizational skills and attention to detail to understand designs, dependencies, challenges and risks in order to ensure timely and reliable delivery
• Extensive experience in data-centric environments
• Experience working in cross-functional delivery-focused agile teams
• Experience with iterative development across multiple work streams
• Excellent written and verbal communication skills