Remote Online Data Encoder Jobs (NOW HIRING)

Job ID: 2614424

Location: McLean, VA, US

Date Posted: 2026-07-09

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is seeking a Data Scientist to join our team to provide Subject Matter expertise and support specializing in natural language(NLP) processing and associated data preparation. The ideal candidate will have experienced SQL and Python skills to transform both structured and unstructured data into clear and concise analytic insights. This position in in Mclean, VA and requires a TS/SCI with polygraph.

Key Responsibilities:

• Work closely with data scientist and technical team to implement requirements.
• Conduct sophisticated analysis using deployed tools and natural language processing (NLP).
• Analyze large amounts of raw data, including text data, to provide business insights.
• Preprocess or clean structured and unstructured data, including text data.
• Design and implement advanced ETL code and table configurations for complex data sets. 
• Use Structured Query Language (SQL) in Sponsor’s Oracle database to develop and organize relevant information with supporting analytics. 
• Author analytic publications and produce ad-hoc reports to include data visualization.
• Stay current with enterprise metadata collection tools.
• Provide technical education to staff on an ad-hoc basis. 
• Provide subject matter expertise in natural language processing (NLP).

Qualifications

• Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
• Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
• Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
• Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
• Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
• Demonstrated experience leveraging GPUs for accelerated computing.
• Developed practical approaches for measuring performance.
• Assisted in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
• Conducted advanced statistical analysis on personnel, intelligence, and performance metrics.
• Assisted in selection or development of appropriate methodology to conduct research.
• Analyzed information and provide research findings in a manner that is easily grasped by the customer and consumers.
• TS/SCI with polygraph.

Desired Skills:

• Experience writing Python scripts that pull data from web-based APIs and relational databases.
• Experience with cloud computing development and architecture.
• Demonstrated experience with front-end web development frameworks such as Flask.
• Demonstrated experience developing applications for semantic search.
• Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
• Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.