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Data Scientist

Job in McLean, Fairfax County, Virginia, USA
Listing for: B4Corp
Full Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 230000 USD Yearly USD 230000.00 YEAR
Job Description & How to Apply Below
Position: 811994 Data Scientist $230,000.00

Labor Category: Data Scientist

Position Title: Data Scientist

Position Level: Level 1 – Subject Matter Expert

Salary: Up to $230,000 per year

Core

Hours:

9am to 4pm

Location: McLean, VA

Description
  • The Candidate shall conduct sophisticated analysis using deployed tools and natural language processing.
  • The Candidate shall analyze large amounts of raw data, including text data, to provide business insights.
  • The Candidate shall preprocess or clean structured and unstructured Customer data, including text data.
  • The Candidate shall design and implement advanced ETL code and table configurations for complex data sets.
  • The Candidate shall use Structured Query Language (SQL) in Customer’s Oracle database to develop and organize relevant information with supporting analytics.
  • The Candidate shall independently, or with a team, author analytic publications and produce ad‑hoc reports to include data visualizations using the Customer’s templates.
  • The Candidate shall stay current with the Customer’s enterprise metadata collection tools.
  • The Candidate shall implement the Customer’s existing coordination process.
  • The Candidate shall provide technical education to staff on an ad‑hoc basis.
  • The Candidate shall provide subject matter expertise in NLP to support Customer’s initiatives.
Mandatory Requirements
  • Developmental (0‑2 years’ experience)
  • Full Performance (3‑5 years’ experience)
  • Senior (6‑10 years’ experience)
  • Expert (11‑15 years’ experience)
  • SME (16+ years’ 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 Hugging Face 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.
  • Develop practical approaches for measuring performance.
  • Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
  • Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
  • Assist in selection or development of appropriate methodology to conduct research.
  • Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.
Optional Requirements
  • Demonstrated experience writing Python scripts that pull data from web‑based APIs and relational databases.
  • Demonstrated 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.
Benefits
  • Outstanding Salaries
  • Full Vanguard 401k Plan – 100% employer matched contribution up to 6% of employee's salary, ability to max out 401k savings $57k ($63.5k if over 50)
  • Employees receive B4

    Corp phantom stock each year (2‑year vesting period)
  • Medical – United Health Care (UHC) (multiple plan options)
  • Dental – United Concordia (UC) Flex Plan
  • Vision – Vision Service Plan Insurance Co (VSP) Signature Plans
  • Mutual of Omaha short‑term disability (60% of salary up to $2,000.00 per week)
  • Mutual of Omaha long‑term disability (60% of salary up to $10,000.00 per month)
  • Mutual of Omaha life insurance ($)
  • Refer a friend or a coworker and receive $3,000 per year for every year the person works for B4

    Corp
  • Seven weeks of leave per year (including ten federal holidays)
  • Flexible work schedule with comp time (with customer approval)

B4

Corp is an EEO and e‑Verify employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or national origin.

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