Data Scientist - Data Analyst (Direct Hire)

US Social Security Administration; Birmingham (AL); On-site; USD 144,000 - 187,000; Full time

Benefits offered by this job

Comprehensive federal benefits package

Outstationing available

Job summary

US Social Security Administration in Birmingham, Alabama, onsite, offers a direct hire role with a competitive annual salary and a comprehensive federal benefits package. The position leads large-scale data analysis initiatives, guiding teams of professionals and contractors while applying statistical, machine learning, and AI techniques using R, Python, SAS, and SQL.

You will transform large, messy data into analysis-ready formats, develop data products, and communicate complex findings to

Qualifications

• 52 weeks of specialized experience at the GS-13 level or equivalent in a field related to the position.
• Provide technical direction in developing and refining studies that use statistical or machine learning techniques.
• Experience performing ad hoc and planned data analyses.
• Ability to transform large, messy data into analysis-ready formats using R, Python, SAS, or SQL.
• Ability to prepare talking points, issue briefs, and project summaries for management.
• meet the individual occupational requirement (IOR): degree in mathematics, statistics, CS, data science or related field, or equivalent education and experience. Transcripts required.

Responsibilities

• Lead and coordinate data analysis efforts across agency professionals and contractors.
• Conduct statistical analyses and build predictive models using statistics, ML, and AI with R, Python, or SAS.
• Collaborate with teams to define data products and standards, and programmatically prepare data while cleaning datasets.
• Perform observational analyses using R, Python, or SQL to explore data, test hypotheses, forecast outcomes, and inform decisions.
• Translate complex findings into clear, plain language for stakeholders.
• Prepare written reports and deliver oral presentations, briefings, training sessions, and consultations.
• Serve as a resource and leader for federal and contractor staff on large-scale data analysis projects and risks.

Skills

Data analysis

Statistical techniques

Communication

Education

BS or higher in mathematics, statistics, computer science, data science or related field

Tools

R

Python

SAS

SQL

Job description

Join the U.S. Social Security Administration in Birmingham, Alabama, onsite, with a competitive annual salary ranging from USD 143,913 to 187,093. This direct hire opportunity is open to U.S. citizens and comes with a comprehensive federal benefits package plus chances to lead large-scale data initiatives and collaborate across teams.

Benefits

What you gain: A comprehensive federal benefits package. Benefit eligibility depends on the type of position and whether the role is full time, part time, or intermittent.

Responsibilities

• Lead and coordinate data analysis efforts across agency professionals and contractors to solve complex data management challenges.
• Conduct statistical analyses and build predictive models using techniques from statistics, machine learning, and AI with tools such as R, Python, or SAS.
• Collaborate with teams to define data products and standards, and programmatically prepare data while cleaning imperfect datasets.
• Perform observational analyses using R, Python, or SQL to explore data, test hypotheses, forecast outcomes, and inform decisions.
• Translate complex findings into clear, plain language for stakeholders.
• Prepare written reports and deliver oral presentations, briefings, training sessions, and consultations.
• Serve as a resource and leader for federal and contractor staff on implementing and managing large-scale, complex data analysis projects, including related risks.

Requirements

• 52 weeks of specialized experience at the GS-13 level or equivalent in a field related to the position.
• Provide technical direction in developing and refining studies that use statistical or machine learning techniques.
• Experience performing ad hoc and planned data analyses.
• Ability to transform large, messy data into analysis-ready formats using R, Python, SAS, or SQL.
• Ability to prepare talking points, issue briefs, and project summaries for management.
• In addition to the above, meet the individual occupational requirement (IOR): either a degree in mathematics, statistics, computer science, data science or a closely related field, or a combination of education and experience that meets the designated coursework and experience criteria. Transcripts are required to verify education.

Technologies

R, Python, SAS, SQL

Eligibility

• Open to the public: U.S. Citizens and Nationals, or those who owe allegiance to the United States.
• Career transition programs (CTAP, ICTAP, RPL) may apply for priority consideration for Federal employees affected by job eliminations.
• Clarification from the agency: All U.S. Citizens.

Additional information

• Salary range varies by locality; see General Schedule pay tables for your location.
• Available locations include Birmingham, AL; Atlanta, GA; Boston, MA; Chicago, IL; Dallas, TX; Denver, CO; Los Angeles, CA; Oakland, CA; Pasadena, CA; San Diego, CA; New York, NY; Philadelphia, PA; Washington, DC; and others.
• Outstationing is available.
• Additional selections may be made six months after the closing date for this vacancy.
• This is a non-bargaining unit position.
• A one-year probationary period may be required to assess fit and public interest impact.
• Selective Service: male applicants born after December 31, 1959 must be registered or exempt.

Agency contact

• Careers at SSA
• Phone [phone]
• Email [e-mail]
• Address Risk and Quality, 6401 Security Blvd, Baltimore, MD 21207, US

Next steps

• After submitting all required materials, you will receive notifications about receipt, qualifications, referral status, and selection status.
• Interviews may be conducted with one or more candidates, but there is no requirement to hold interviews.
• The hiring office will contact candidates directly for interviews, which may occur via video conferencing.
• Applicants referred for consideration will receive a final disposition notice after selections are made.

Education

You must provide proof that you meet the Individual Occupational Requirement by uploading transcripts showing the degree or relevant coursework by the application deadline. Transcripts can be unofficial at submission, but must include an award or graduation date. Foreign credentials require evaluation for equivalence or credit transfer.

Note on transcripts

Transcripts must include your name, institution, course titles, credits, grades, and completion date. Unofficial transcripts are acceptable at the time of application, but official transcripts may be required before your start date.