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WorkScoop

Data Scientist

many, LA

Check who can apply and the requirements below before continuing.

About this opportunity

WorkScoop lists this Data Scientist opportunity in many, Louisiana. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Summary

IT Specialist (Data Scientist) positions are being filled through the Office of Personnel Management's delegated Direct Hire Authority and are open to all U.S. citizens. Veterans Preference and the "Rule of Many" do not apply.

Overview

Location: Woodlawn, MD (Telework eligible – employees required to be on-site 75% of duty time)

Salary: $143,913 – $187,093 per year (GS 14)

Full-time – Flextime and Alternate Work Schedules available

Travel Required: No

Appointment Type: Permanent

Job Series: 2210 Information Technology Management (IT Specialist)

Security Clearance: Not required. Background check: Suitability/Fitness. Financial disclosure required.

Responsibilities

Architect, develop and maintain advanced analytics solutions using Python, R and SQL on enterprise data platforms.

Design and implement machine learning models, including generative AI and agentic AI solutions, to support business objectives.

Clean, transform and manage large datasets from diverse sources, ensuring data integrity and reliability.

Optimize SQL queries and database operations for efficient data access and processing.

Develop, fine‑tune and deploy AI models such as generative and large language models and agentic AI systems for automation, content generation and decision support.

Visualize data and communicate findings through dashboards, reports and presentations using tools such as matplotlib, ggplot2 and Power BI.

Collaborate with business analysts, IT professionals and stakeholders to deliver innovative, data‑driven solutions.

Prepare and maintain technical documentation, including data dictionaries, model specifications and user guides.

Participate in code reviews and uphold best practices for quality, reproducibility and security.

Support data validation, testing, deployment and post‑implementation activities in a fast‑paced environment.

Qualifications

U.S. Citizenship required.

Minimum qualification: GS‑14 (equivalent to GS‑13 level of specialized IT experience). Specialized experience includes: leading or performing hands‑on data analysis, modeling and visualization using Python and/or R; advanced proficiency in SQL; applying statistical methods, machine learning algorithms and data wrangling techniques; developing and deploying AI models such as generative and agentic AI systems; using frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain; working with large‑scale enterprise datasets and cloud‑based data platforms; creating data visualizations with matplotlib, seaborn, ggplot2, Tableau; communicating complex technical concepts; understanding SDLC, Agile and Git; implementing data governance, privacy and security best practices; and delivering mandates in a cross‑functional team.

Strong analytical, troubleshooting and problem‑solving skills.

Excellent written and verbal communication skills for technical and non‑technical stakeholders.

Self‑motivated with the ability to work independently and meet project deadlines.

Conditions of Employment

Must register with Selective Service if applicable.

Fingerprinting and background and/or security investigation may be required.

Job offers contingent on successful investigation results. Benefits

A comprehensive benefits package is available to federal employees, including health, retirement, leave and other standard federal benefits. Eligibility depends on full‑time status.

Required Documents

Resume – no longer than two pages with contact information.

Supporting documentation for eligibility statements (e.g., ICTAP, VETS).

Application Deadline

Mandatory application deadline: 8/5/26 11:59 p.m. ET.

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Worksite address

many, LA, 71449, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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