Data Scientist

1. Create data warehouse to facilitate new product features for creating recommendation system
2. Analyze various big data for the purpose of deep data analysis
3. Design classification system, ranking and search methodologies.
4. Apply statistics, mathematics and other techniques for data analysis in multiple dimensions5. Preparing of data that has been analyzed statistically
5. Systematic reporting of analytical results for simple comprehension
6. Creating key performance indicators for results of each product features
7. Systematically indexing and controlling data versions used in the analysis
8. Creating interactive data visualization
9. Operation planning using logical, tactical and other procedural

Business Intelligence

1. Design, build, integrate report, dashboard and Visualize from various data resources.
2. Design new visualization solutions from requirements and from an understanding of organizational business needs.
3. Develop executive / consumer dashboards with advanced drill-through capabilities.
4. Srategic thinker with aptitude to learn and extend business knowledge.
5. Manage big data and predictable attendance is an essential function of this job.
6. Work with effectively prioritize and execute tasks while under pressure to meet multiple deadlines.
7. Analyze and describe multiple visualizations through stories.
8. Work with optimizing the performance of company's big data cycle.

• At least 3 years in full life cycle software development experience and database systems including PL/SQL and NoSQL.
• Skilled or experienced with scripting language (R, Python, Perl, etc.), Core Java Engine, C#, Ruby, Scala or similar
• 3+ years experiences in database development and ETL development included data modeling, stored procedures, functions and query optimization.
• Experience with Big data etc. Hadoop, Cloudera, MongoDB, Cassandra or Amazon - Reddit.
• Fluent preparing data visualizations powered by Tableau, QlikSense (significant experience in Tableau Desktop and Tableau Server).
• 2+ years of experience developing and maintaining applications with an emphasis on data extraction and manipulation from other database systems using SQL and NoSQL and/or other query languages preferred.
• Experienced to perform unit and integration test, participate in report validation and QA of reporting and data analytics.