Lucid Technologies Inc

The selected candidate will have experience using a variety of data mining/data analysis methods and tools, building and implementing models, using/creating algorithms, and creating/running simulations. The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have an ability to drive business results with their data-based insights.  The candidate should be highly analytical with a knack for analysis, math and statistics, with demonstrated critical thinking and problem-solving skills.  Passion for machine-learning and research are also highly coveted.

•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

•Must have one of the following:

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

•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.

•Must be able to work on-site in Raleigh, NC

•Must be able to obtain a Position of Public Trust Clearance – US Citizen or Permanent Resident (Green Card Holder), and must not have traveled outside the US for a combined total of 6 months or more in last 5 years.

•Must have resided in the US for the last 5 years

•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

•Local to the Raleigh, NC area as this position does not provide relocation assistance.