Responsibilities

1. Build, maintain, and improve efficient and reliable data mining and machine learning models.
2. Work closely with researchers in designing and implementing and tuning machine learning models, and provide performance feedback of machine learning models.
3. Work closely with data engineers to adapt and improve data pipelines for production models.
4. Work closely with software engineers in putting models into production (interface, SLA, scalability)

Qualifications

1. Ms in Computer Science, System Engineering or related field with 2+ years of industry experience or PhD with 1+ years of industry experience
2. Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
3. Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models
4. Master with SQL or other relational database.
5. Master in building and productionizing end-to-end machine learning systems
6. Knowledge in web application design is a plus.

Responsibilities

1. Manage data warehouse
2. Design, build and launch new data pipelines processes in production (extraction, transformation and loading)
3. Work closely with machine learning engineers and provide data support for machine learning models in production
   
4. Work with data infrastructure to triage infra issues and drive to resolution

Qualifications

1. BS or MS degree in computer science or a related field
2. Expert in SQL (Redshift, Hive, etc)
3. Expert with dimensional data modeling and schema design in data warehouses
4. Expert in custom or structured ETL design, implementation and maintenance
5. Master in analyzing data to identify deliverables, gaps and inconsistencies
6. Knowledge in Python
7. Communication skills including the ability to identify and communicate data driven insights

Responsibilities

1. Build report interfaces and data feeds
2. Build server applications and online A/B testing system
3. Implement web interfaces

Qualifications

1. BS or MS in Computer Science or related field
2. Expert in Java, knowledge in Python (become master in Python within 3 months)
3. Knowledge of relational databases and SQL
4. Knowledge with machine learning packages such as Scikit-learn and Tensorflow is a plus.

Responsibilities

• Understand business objectives. Conduct analysis and build models for user behavior, in-game economics, and other topics.

• Work close with Data Scientists, Machine Learning Engineers and conduct analysis for Data Science and Machine Learning projects

• Generate productionable SQL queries and collaborate with data engineers for deploying SQL queries for regular analytic reporting.

• Work closely with data engineers, product teams and have thorough understanding of the company data and the data quality

Qualifications

• BS/MS in Mathematics, Statistics, Computer Science, with 3 years of working experience in data and analytic-intensive roles

• Expert in SQL or other relational database.

  • Capable of producing high-quality SQL queries that are modularized and readable.

  • Understand how to optimize SQL queries for lowering memory and compute resources.

• Solid understanding and experience in ETL-related systems/processes. They include Azkaban, Airflow, and other ETL management tools.

• Experience in Python and relevant Python packages such as numpy, scipy, panda, etc.

• Strong communication skills to present the result of analyses

Responsibilities

• Understand business objectives and identify opportunities to apply Data Science techniques to achieve business impact

• Model and prototype business problems with quantitative methods including statistics, machine learning, etc, with the goal of production deployment

• Collaborate with product teams in gathering relevant product information.

• Work closely with data engineers to adapt and improve data pipelines for Data Science modeling

• Work closely with machine learning researchers in designing and implementing machine learning models

Qualifications

• Ms in Mathematics, Statistics, Computer Science, or Economics

• Master in statistics and machine learning methods

• Expert in Python. Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.

• Expert in SQL or other relational database.

• Strong communication skills to present the result of analyses

• Knowledge and experience in cloud computing is a plus