Management consulting-Data Scientist-Associate1-Shanghai

• Proactively assist the team in various aspects of the project
• Prepare deliverables
• Contribute to the development of your own and team’s technical acumen
• Keep up to date with local and national business and economic issues
• Ensure you are adhering to compliance matters
• Work on developing internal relationships and your PwC brand

• 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.

• 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.

PwC