Data Analyst - Washington, United States - US Social Security Administration

US Social Security Administration

Verified Company

Washington, United States

1 week ago

Posted by:

Mark Lane

beBee recruiter

Description

Duties:

Plans and conducts, as project lead or member of a study team, specific data engineering, modeling, and analysis activities within SSA. Formulates sound approaches to solve operational data problems.
Utilizes data from various sources and information systems to provide advice and support on issues related to the OAI mission. Prepares and presents briefings regarding the progress and/or results of projects/studies.
Provides management with expert technical guidance and recommendations for achieving the agency's objectives.
Conducts statistical analyses and develops predictive models using statistical techniques, machine learning, and AI, using tools such as R, Python or SAS, to support SSA operational processes and to optimize planning and resource allocation.
Serves as Data Analyst (Data Scientist) in DACE and CDO, OARO with the responsibility for development, coordination, and execution of data analysis requirements for OAI...

- [Cont'd]... which requires technical expertise across the data life cycle (i.e. data collection, ingestion, storage, modeling, access, integration, analysis and decision support).

Leverages data tools, programming skills, data visualization, communication, and advanced analytic techniques to support the OAI mission.
Develops, integrates, and maintains data and extract transform and load (ETL) procedures to ensure the integrity and efficiency of data interchanges.
Develops forensically sound, auditable, flexible, repeatable, and scalable ETL capabilities through data engineering best practices on a variety of structure, unstructured, and metadata.
Performs testing as necessary for workflows for routing and data transformation.

- [Cont'd]... ensuring that OAI divisions are provided with the data necessary to carry out the OAI's mission of providing timely and accurate services to stakeholders.

Translates the results of analysis into clear, actionable communications that equip SSA decision makers to make informed, datadriven decisions about digital product development and scientific strategy.
Research and designs presentations and interpretations of analytical outputs tailored to specific audiences, including the use of interactivity and narrative storytelling where appropriate.
Collaborates with teammates, customers, and stakeholders in a reproducible and organized manner.

Requirements:

Conditions of Employment:

U.S. Citizenship required
Fingerprinting and background and/or security investigation may be required
Job offers are contingent on fingerprinting and background / security investigation results
Selectees may be required to serve a 1 year probationary period
Relocation expenses will not be paid
All qualification requirements must be met by the closing date of the announcement

Qualifications:

Your resume must include the following information:

Full name of place of employment

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Full start and stop dates (e.g. 03/15/ /27/2023)
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Indication of Full or Part-time with hours worked included

Without the information above, we are unable to determine if you meet the requirements of having at least one year of experience. If this information is not provided, you will be marked ineligible for consideration.
Applicants must qualify for the series and grade of the posted position.

Your resume must provide sufficient experience, knowledge, skills, abilities, and proficiency of any required competencies to perform the specific position for which you are applying.

Your resume is the key means we have for evaluating your experience, education, knowledge, skills, abilities and competencies as they relate to this position.

Your resume and supporting documents must specifically address the evaluation criteria for the position.- Qualification standards and additional information for this position can be found here: Data Science Series 1560 )

To qualify for this GS13 position, the applicant must have 52 weeks of specialized experience at, or equivalent to the Federal
GS12 level (or above), which is in or related to the work of the position to be filled and has equipped the applicant with the particular knowledge, skills, and abilities to successfully perform the duties of the position.
Such experience should include utilizing advanced data science techniques including data extraction transformation cleaning modeling machine learning and artificial intelligence. Processing data and extracting insights from structured and unstructured data to provide solutions to complex challenges. Developing artificial intelligence services in risk assessment targeting and chatbot development for auditing. Using advanced quantitative computer science and statistical skills to interpret data for target forecasting and augmenting datadriven audit decisions.

Additionally, applicants must meet the following
Individual Occupational Requirement (IOR):