Data Scientist

Essential Duties and Responsibilities of a Data Scientist
•Responsible for the architecture design of models / strategies / algorithms for the innovative applications, including but not limited to predictive analysis, natural language processing etc.
•Identifies unique opportunities to collect new data.
•Designs new processes and builds large, complex data sets.
•Strategizes new uses for data and its interaction with data design.
•Locates new data sources, analyzes statistics and implements quality procedures.
•Performs data studies of new and diverse data sources.
•Finds new uses for existing data sources.
•Conducts statistical modeling and experiment design.
•Discovers “stories” told by the data and presents them to other scientists and business managers.
•Tests and validates predictive models.
•Builds web prototypes and performs data visualization.
•Conducts scalable data research on and off the cloud.
•Implements automated processes for efficiently producing scale models.
•Designs, modifies and builds new data processes.
•Generates algorithms and creates computer models.
•Collaborates with database engineers and other scientists.
•Implements new or enhanced software designed to access and handle data more efficiently.
•Trains the data management team on new or updated procedures.
•Stays up to date and educates the team on the cutting edge of analytic applications.
Required Knowledge, Skills and Abilities
•Possesses a working knowledge of statistics, programming and predictive modeling.
•Demonstrates excellent code writing abilities.
•Has strong critical thinking skills and the ability to relate them to the products or services the company is producing.
•Proficient programming in Python, R, and SQL (Structured Query Language).
•Hadoop, NoSQL, Java are strong plus.
•Programming on scalable/Big Data language such as Scala/Spark is a plus.
•Shows strong knowledge of basic and advanced prediction models.
•Possesses a combination of creative abilities and business knowledge.
•Has data mining knowledge that spans a range of disciplines.
•Displays superior technical coding abilities.
•Possesses strong exploratory analysis skills.
•Demonstrates excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.
•Has the ability to think and research creatively.
•Displays exceptional organizational skills and is detail oriented.
•Possesses a mastery of statistics, machine learning, algorithms and advanced mathematics.
•Strong English communication in paper and oral.
•Shows a high level of skills in acquisition and application of vast knowledge areas over a short period of time and requires a strong sense of personal responsibility.
Education and Experience
•Master degree or PhD degree on mathematical, computer science or similar field of study, with at least 3-5 years of relevant experience.
•Previous experience working in data mining or natural language processing.

PricewaterhouseCoopers Information Technologies (Shanghai) Co., Ltd. Is the natural extension of our leading-class delivery capabilities. With over 500 offshore-specific software engineers, we support the delivery of technology enabled end-to-end solutions and are fully integrated with PwC’ s global delivery methodology. We provide premium, cost effective, high quality technology services and solutions to our global clients and focused on key horizontal and vertical end-to-end solutions. PwC GDC China has been rated CMMI Level 5by Sept. 2005 and has ISO27001 and ISO20000 Certification.