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Job #: R-00023499
Location: Windsor Mill, MD
Category: Systems Engineering
Schedule (FT/PT): Full Time
Travel Required: No
Shift: Day
Potential for Telework: No
Clearance Required: Public Trust
Referral Eligibility: Ineligible
Group: Health

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Description

Job Description:

The Government Health and Safety Solutions Operation is seeking a Sr. Data Scientist, contingent upon contract award, in the Windsor Mill area of Baltimore, MD.

Leidos has established a strong partnership with the Social Security Administration (SSA) that spans more than 30 years. Headquartered in Baltimore, Maryland, the mission of the SSA is to deliver quality Social Security services to the public. In 2019, it is estimated that approximately 64 million Americans will receive over one trillion dollars in Social Security benefits. Through its current contract, the Information Technology Support Services Contract II (ITSSC II), Leidos provides strategic and tactical planning, project management services, and operations and maintenance support for more than 1,000 applications, close to 550 Petabytes (PB) of data, and over 1,800 databases. Our software engineers provide new development support utilizing Agile practices across a variety of platforms including mainframe, midrange, Windows, Linux, Unix, and the Cloud. Software languages used include Java, Angular, Node.JS, Python, and .Net. Database technologies currently in use on the program include DB2, Oracle, SQL, PostgreSQL, and MongoDB. Focus areas include Data Analytics, Fraud Prevention, Electronic Health Records, Infrastructure Modernization, and Digital Transformation.  Other leading-edge technologies that are being explored and utilized on the program include Robotics Process Automation (RPA), artificial intelligence (AI) and machine learning (ML).

Sr Data Scientist opening is contingent upon project funding approval.

Position 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.

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.

Required Education:

PhD or Masters in Data Science, Mathematics, Analytics, or Statistics will take precedence for interviews.

Key Required Skills 

Python, R, Matlab, Machine Learning

Detailed Skills Requirements

•Required Skills:

•Ph.D. or Masters in Data Science, Mathematics, Statistics, Analytics or related field.

•DOCUMENTED experience in

◦Python, R, and/or SAS. Preference for Python, then R.

◦Data Mining

◦data engineering using Python and SQL Queries to extract and transform large volumes of data into a format suitable for analysis

◦Supervised Machine Learning, using analytic algorithms such as regression, decision tree, linear SVM, RBF, k-NN or Random Forest

◦Apply Unsupervised Learning methods and algorithms such as principal component and cluster analysis

◦building data visualizations using Python, Tableau, SAS, or R

◦Linux and Windows

◦working in a team-based agile work environment

•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.

•Experience working in an analytical research environment

•pandas and scikit-learn

•the Hadoop ecosystem

•parallel computing using GPUs

•CUDA

•Mathematica

•MATLAB

•Experience using markup languages such as LaTeX, HTML, etc.

•Natural Language Processing for anomaly detection

•VBA scripts

•Experience teaching and mentoring in any and all of the above

External Referral Bonus:

Ineligible

Potential for Telework:

No

Clearance Level Required:

Public Trust

Travel:

No

Scheduled Weekly Hours:

40

Shift:

Day

Requisition Category:

Professional

Job Family:

Systems Engineering

Leidos

Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world's toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $10.19 billion for the fiscal year ended December 28, 2018. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to spam.leidos@leidos.com.

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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