Data Scientist

Roles and Responsibilities include but not limited to:

• Data exploration - Explore large data sets using a variety of tools to build model ready data products and provide any requirements to ETL developers to productize.

• Model Building - Description: Leverage analytics tools like SAS to build complex statistical and machine learning models to build predictive and prescriptive strategies.

• Adhoc Insight Generation - Description: Quickly explore data and apply descriptive statistics to provide rapid insights for the business customer.

• Create data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization

• Utilizes strong statistical and data visualization skills

• Uses and applies technical principles, theories, and concepts

• Demonstrates the skill and ability to perform professional tasks

• Develops recommended solutions to technical problems as assigned

• Submits work for review of soundness of technical judgment, quality, and accuracy

• Contributes to the completion of assigned technical tasks

Basic Qualifications

• Must have one of the following:

o Bachelor’s degree in Computer Science, Social Sciences, Physical Sciences, Statistics, or related discipline with a minimum of 5 years of statistics experience

o Master’s degree in Computer Science, Social Sciences, Physical Sciences, Statistics, or related discipline with a minimum of 3 years of statistics experience

• Experience with customer churn and lead generation modeling.

• Knowledge of statistics, including sample design and probability sampling techniques, survey and experimental design, and measures of precision.

• Knowledge of industry developments, business practices, and technical developments to meet business needs.

• Ability to use computer-based data and operating systems, programming languages, and statistical packages (R, SAS, etc.)

• Experience working with large datasets in a Hadoop environment.

• Experience with SQL in Oracle and Teradata environments.

• Ability to provide technical guidance related to data design, data collection, and statistical analysis.

• Ability to communicate facts or ideas orally and in writing, when answering questions, giving directions, providing information, preparing reports/presentations, and in preparing documentation.

• Ability to provide relevant leadership and support to management, peers, and customers for data science best practices and procedures.

Preferred Qualifications:

• Master's degree or PhD in related field

• Significant experience with R, Python, C++, Hadoop, SQL Database/Coding, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau

• Demonstrated experience working with unstructured data