Big Data Scientist - Mobile Games

The position is open for a leading mobile games developer and publisher focused on the large mobile consumer base in India and world wide. Its customers include mobile carriers as well as handset manufacturers.

The Big Data Scientist will be responsible for developing predictive systems, creating efficient algorithms and improving data quality. This individual will work closely with the Research and

Development team to identify, evaluate, design and implement statistical analyses of gathered open algorithms and improving data quality. This individual will work closely with the Research and

Development team to identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools suitable for use in Digital Sandbox applications. This individual will have the opportunity to contribute directly to the features and capabilities deployed in applications.

Key Responsibilities:

- Work with engineering and research teams on designing, building and deploying data analysis systems for large data sets

- Design, develop and implement R&D and pre-product prototype solutions and implementations using off the shelf tools (e.g. R, SAS,SPSS), and software (e.g. Python, Java, C/C++, .NET)

- Create algorithms to extract information from large data sets.

- Establish scalable, efficient, automated processes for model development, model validation,model implementation and large scale data analysis.

- Develop metrics and prototypes that can be used to drive business decisions.

- Provide thought-leadership and dependable execution on diverse projects.

- Identify emergent trends and opportunities for future client growth and development

Minimum Requirements:

- Top B School education in a relevant field such as Statistics, Computer Science or Applied Math, Physics or relevant subject.

- Strong background in statistical concepts and calculations.

- 3+years experience with real data

- Innovative and strong analytical and algorithmic problem solvers.

- Proficiency with statistical analysis tools (e.g. R, SAS,SPSS)

- Proficiency with software development technologies (e.g. Python, Java, C/C++, .Net)

- Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).

- Expert at data visualization and presentation.

- Experience with big data tools (e.g., Hadoop, HDFS, Cassandra, Storm)

- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly verbally and in written form.

Qualification: Top Engineering & Business school

Other Information:

- Must be from a prominent B-School

- Has to be very technically sound

- Has to have good experience/knowledge of Big Data