Responsibilities:

1.Join a highly skilled data science team to mine through data to identify data-driven opportunities in game production, publishing and live-ops

2.Work with large datasets and apply advanced analytic methods to solve challenging problems and to deliver scalable solutions.

3.Establish scalable, efficient, automated processes and provide end-to-end data products with large-scale data analysis, A/B testing, machine/deep learning model development, validation and serving.

4.Interact cross-functionally with various teams and provide actionable business insights for stakeholders.

5.Research new machine learning approaches.

1.Join a highly skilled data science team to mine through data to identify data-driven opportunities in game production, publishing and live-ops

2.Work with large datasets and apply advanced analytic methods to solve challenging problems and to deliver scalable solutions.

3.Establish scalable, efficient, automated processes and provide end-to-end data products with large-scale data analysis, A/B testing, machine/deep learning model development, validation and serving.

4.Interact cross-functionally with various teams and provide actionable business insights for stakeholders.

5.Research new machine learning approaches.

Requirements:

1.MS/PhD degree in a quantitative field - Computer Science, Operational Research, Mathematics, Statistics, Economics or related fields. Ph.D. with Strong publication record preferred;

2.3+ years of experience of building machine learning models for business applications;

3. Deep and extensive knowledge in one or more of the following areas: Deep Learning, Reinforcement Learning, Statistical Analysis, NLP, Computer Vision, Recommendation System, Big Data technologies, and any other data science related domains.

4.Expert in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, generalized linear model, A/B experiments) ;

5.Proficient in SQL and Python, Java, C++ or related programming languages;

6.Experience with Big Data technologies such as Hadoop, Spark, Pig, Hive, etc. is preferred.

7.Ability to understand complex subjects clearly and proposing actionable data-driven solutions to them. Good business acumen and communication skills is a plus.

The base pay range for this position in California  is $ 81,400 to $ 162,800 per year. 

Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered.