Senior Data Scientist #259

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About Company
ShoreIT Solutions
Baltimore
Job Info
Job Status: Open
No of Vacancies: 1
Date Posted: August 9, 2019
Expiry Date: October 09, 2019
Job Type: Full Time
Job Level: Any
Salary Info
Salary Type: Min-Max
Salary: $105,000-$125,000
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Salary Range $105,000-$125,000
Total Benefits Package of up to $35,000
Must be US Citizen with ability to obtain public trust clearance

Windsor Mill, MD

Description:

The selected candidate will compile data to address the most complex data concerns, as well as identify and network with appropriate internal sources to
gather and/or exchange data on specialized matters. PhD preferred.
Other key responsibilities may include:
• Determine the nature of analytic problems, evaluate options, and offer
recommendations for resolution;
• Advise on the methods and data needed and/or available to evaluate the
(intelligence or data?) problem;
• Collaborate with data collectors and analysts to identify and close gaps on
complex monitoring problems;
• Provide accurate, timely, complex and sophisticated data analysis;
• Determine and employ the most appropriate research design for data
collection and analysis;
• Analyze, evaluate, and assess quantitative data (using statistical software,
computer models, geospatial models, software languages, and mathematical models)
to contribute to or develop software tools, analytic models, or reports.
Skills Requirements:
Required Skills:
• Ph.D. or Masters in a highly analytic field such as Mathematics, Statistics, Computer Science, Physics, Data Science, etc.
• A documented minimum of 3 years' hands-on expert-level experience working with real world data sets in predictive modelling using a scripting language such as Python, MATLAB and/or R. Preference for Python, then R and then
MATLAB.
o Specifically, experience doing classification and regression with support
vector machines, random forests, linear and non-linear regression, etc. on real
world data.
• Expert knowledge in conducting data analysis and applying advanced statistical concepts and machine learning methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
• Ability to clean and process large amounts of real world data.
• Experience retrieving and manipulating data from a variety of data sources included Db2, Oracle, SQL Server, Hadoop and flat files.
• Experience with database management systems, e.g. MySQL, SQLite, SQL,
etc.
• Either experience with, or the ability and willingness to learn distributed
processing via the Hadoop ecosystem, i.e. Spark, Impala and Hive.
• Experience working in a Linux environment via terminal commands.
• Experience presenting data and results to both technical and non-technical
audiences in a clear and effective manner.
• Ability to obtain a Public Trust clearance.

Desired Skills:
• An in-depth knowledge of Social Security Administration (SSA) protocols
concerning death processing, debt management, data reporting, etc.
• Knowledge of and experience handling SSA master files and related data.
• Natural language processing experience.
• VBA scripting experience
• Experience using markup languages such as LaTeX, HTML, etc.
• Experience using Agile team development.
• Experience teaching and mentoring in any and all of the above

Education:
PhD in Mathematics, Statistics, Computer Science, Physics, Data Science, or similar field. A Masters Degree in the similar fields may be acceptable, but PhD is preferred.