Only submit candidates with the required years of experience- minimum of 13 full years with a degree, 17 years without.
Description:
Identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Designs, develops and implements the most valuable business solutions for the organization. Prepares big data, implements data models and develops database to support the business solutions.
List of Tasks to be Performed:
Task #1: Data Analysis and Visualization Development
Deliverables will be tailored to each project and may include:
Rapid analysis scripts
Visualization prototypes / models
Interactive dashboards
Visioning session materials
Analysis reports and presentations
Project plans and documentation
The deliverable shall meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
Analysis techniques are appropriate for the given need and available data
Project timelines are met within a reasonable variance due to uncertainty of the individual project
Project documentation is accurate to the analysis findings and free of grammatical errors
Products meet the Business Unit’s needs and are usable by the Business Unit with minimal training
Task #2: Modeling and Optimization
Deliverables are project-dependent and may include:
Mathematical optimization models
Source code and/or scripting
Translational documentation for use in analytical and visualization product development
Proposal presentations
Project result documentation and presentations
The deliverable must meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
Model parameters and functions are appropriate for the given need and available data
Project timelines are met within a reasonable variance due to uncertainty of the individual project
Project documentation is accurate to the analysis findings and free of grammatical errors
Products meet the Business Unit’s needs and are usable by the Business Unit with minimal training
Required Certification/Experience Level/Education that displays the following:
Some academic criteria for data science – Ex. Data science, statistics, or experimental psych. Skilled in SQL, Python or R, preferably both. Have good communication skills, and some proven ability to work in a variety of industries, indicating ability to be a quick study when confronted with the complex environment.
Education Requirements:
A minimum of thirteen (13) to twenty (20) years’ relevant experience
A degree from an accredited College/University in the applicable field of services is preferred. four additional years of relevant experience in lieu of a college degree is required. If the individual's degree is not in the applicable field, then four additional years of related experience is required.
Additional Provisions:
Pass both a client mandated clearance process to include drug screening, criminal history check and credit check.
Once candidate’s resume is approved and interview passed, the agency is responsible for providing drug screening. Failure to submit the drug screening results will delay the security clearance process.
If a candidate is given an interim clearance, continuation of employment is then based on the candidate receiving a sensitive clearance.
All candidates must be a US Citizen or have permanent residence status (Green Card) or H1B.
Candidate must have lived in the United States for the past 5 years.
Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
All overtime must be pre-approved in writing by the client manager or his/her designated representative.
Agency will not be reimbursed for overtime charges without previous written authorization. Authorized overtime will be reimbursed at straight time.