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Data Scientist in Bothell, WA at HUNTER Technical Resources

Date Posted: 1/21/2019

Job Snapshot

  • Employee Type:
  • Location:
    Bothell, WA
  • Job Type:
  • Experience:
    5 to 7 years
  • Date Posted:
  • Job ID:

Job Description


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. 
  • 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 click stream data. 
  • 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:   o Coding knowledge and experience with several languages: Java, R, Python, SQL o Knowledge and experience in statistical and data mining techniques: Anomaly detection, propensity modeling, etc. o Experience querying databases and using statistical computer languages: Java, R, Python, SLQ, etc. o Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. o Experience visualizing/presenting data for stakeholders using: Business Objects, Tableau, D3, chart.js, etc.


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