Job Description :
Role: Data Scientist
Location: Bothell WA
Duration: Long Term
Job Overview
We are looking for a Data Scientist who will support our analytics and marketing teams by analyzing
click stream data and helping create a system for anomaly detection and propensity models. The ideal
candidate is adept at data mining/data analysis methods of very large data sets using a variety of data
tools. The ideal candidate should be capable of building and implementing models, using/creating
algorithms and creating/running simulations. They must be comfortable working with a wide range
of stakeholders and functional teams to create solutions that will be usable across many
organizations.
Responsibilities for Data Scientist
Develop methods to create ongoing anomaly detection with click stream data.
Develop methods to create propensity models with click stream data.
Work with stakeholders throughout the organization to identify opportunities for leveraging
Mine and analyze data from multiple sources including database and real time streaming.
Assess the effectiveness and accuracy of data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications for Data Scientist
Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, Java, etc to manipulate
data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning,
artificial neural networks, etc and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of
distributions, statistical tests and proper usage, etc and experience with applications.
A drive to learn and master new technologies and techniques.
We’re looking for someone with 5-7+ years of experience manipulating data sets and
building statistical models, has a BS or higher in Statistics, Mathematics, Computer Science
or another quantitative field, and is familiar with the following software/tools or their
functional equivalent:
Coding knowledge and experience with several languages: Java, R, Python, SQL
Knowledge and experience in statistical and data mining techniques: Anomaly
detection, propensity modeling, etc.
Experience querying databases and using statistical computer languages: Java, R,
Python, SLQ, etc.
Experience creating and using advanced machine learning algorithms and statistics:
regression, simulation, scenario analysis, modeling, clustering, decision trees, neural
networks, etc.
Experience visualizing/presenting data for stakeholders using: Business Objects,
Tableau, D3, chart.js, etc.