Job Description:

Location: Colorado Springs, CO

Salary: $65.00 USD Hourly - $75.00 USD Hourly

Description: Our client is currently seeking a Data Scientist


Targeted Years of Experience: 5-15 years


This candidate will need to be able to quickly make sense of diverse and complex network- and security-related datasets, and understand how to correlate records across related datasets. The data scientist will perform analytics and/or apply machine learning techniques for high-visibility projects, as a member of a collaborative and open team that prides themselves on innovative solutions. The "data science" tasks may include statistical analyses, knowledge discovery, data mining, correlation, machine learning, and predictive modeling.


• Performs data studies of new and diverse data sources.


• Conducts statistical modeling and experiment design.


• Discovers "stories" told by the data and presents them to peers, software developers, business analysts and business managers.


• Documents data fields, metrics, and findings.


Knowledge, Skills and Abilities


• Strong knowledge of programming and pattern recognition.


• Experience working with networking (and preferably also security) data. Knowledge of performance metrics seen in software defined networks, physical networks, and wireless data.


• Possesses a mastery of statistics, machine learning, algorithms, predictive modeling, and advanced mathematics. Knowledge of deep learning techniques is desired.


• Strong critical thinking skills and the ability to relate them to Verizon business processes and operations.


• Use SQL (Structured Query Language) and other programming languages (R, Python) for statistical computing, graphics, and data mining.


• Experience with RDBMS, columnar, and NoSQL database technologies.


• Applicants should have experience with Big Data and related tools such as Hadoop or Spark.


• Possesses strong exploratory analysis skills and ability to think and research creatively. Familiarity with tools such as R, Rstudio, Python scipy and numpy, Jupyter notebook is desired.


• Demonstrates excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.


• Collaborate with business unit, IT, and data scientists across the enterprise to support descriptive and predictive analytics process.


Education and Experience


• Degree/experience:


o Master's degree in one of: Computer Science, Data Science, Physics (or other science), Engineering, or Mathematics (or statistics) plus at least 5 years analytics and data science experience, OR


o Ph.D. in one of: Computer Science, Data Science, Physics (or other science), Engineering, or Mathematics (or statistics) plus at least 1 year of analytics and data science experience.

Contact: ateotia@judge.com


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