Data Scientist - Big Data - Internet/Online

Data Scientist

Skills :

- Passion for understanding business problems and trying to address them by leveraging data - characterized by high volume, high dimensionality from multiple sources

- Ability to communicate complex models and analysis in a clear and precise manner

- Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.

- Experience using R, SAS, Matlab or equivalent statistical/data analysis tools. Ability to transfer that knowledge to different tools

- Experience with matrices, distributions and probability

- Familiarity with at least one scripting language - Python/Ruby

- Proficiency with relational databases and SQL

- Natural language processing experience is a plus

- Experience with Map/Reduce, Hadoop, Hive etc. is a plus

- Experience with NoSQL stores is a plus

Responsibilities :

- Has worked in a big data environment before alongside a big data engineering team (and data visualization team, data and business analysts)

- Translate client's business requirements into a set of analytical models

- Perform data analysis (with a representative sample data slice) and build/prototype the model(s)

- Work with the client's business users and/or data scientists to define and close on the model design

- Provide inputs to the data ingestion/engineering team on input data required by the model, size, format, associations, cleansing required

- Identify/Provide approach and data to validate the model(s)

- Collaborate with a technology/data engineering team to transfer the business understanding, get the model productionized and validate the output along with business users

- Tune the model(s) to improve results provided over time

- Understand business challenges and goals of a client to formulate the approach for data analysis and model creation that will support their business decision making

- Do hands-on data analysis and model creation and proactively mentor other team members

- Work in highly collaborative teams that strive to build quality systems and provide business value

- Work closely with clients, both in the Business Domain and with Technical staff members

- Have the opportunity to work in a number of different domains in a variety of different client environments

- Continually learn, mentor and develop your career

Education :

- PhD/MS or equivalent in Applied mathematics, statistics, physics, computer science or operations research background. 3+ years experience in a relevant role.