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Requirements
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Job Description: Provide technical leadership and IT
skills for applied data mining project in the public health
surveillance domain on spatio-temporal
data, relational data and on text. Use open source data mining tools
and SAIC proprietary tools for building custom solutions. Position is
in Atlanta. THIS POSITION
OFFER AN EMPLOYEE REFERRAL BONUS OF $3,000.
SEE ENTERPRISE & INFRASTRUCTURE SOLUTIONS GROUP EMPLOYEE REFERRAL
POLICY ON ISSAIC FOR DETAILS. ONLY SAIC EMPLOYEES ARE ELIGIBLE FOR
THIS PROGRAM.
Education: PhD in technical field or equivalent experience required.
Required Skills: Three years experience in data mining; data
cleansing, querying, modeling, and evaluation. Experience in
programming, scripting languages, data analysis coupled with a strong
understanding of data mining and statistical tools. Strong
communication, writing, advising and teaming skills.
Desired Skills: Experience in the fields of statistical reporting and
data visualization, temporal analysis, spatial clustering, and change
point detection. Query experience with SQL or SAS datasets. Practical
experience in the development of enterprise level data mining
solutions or in scientific analysis of large datasets. Solid
understanding of relational databases, and software methodology.
Knowledge of Natural Language Processing and regex
techniques. Ability to be self-directed, and to record process and
solutions in technical reports.
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