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Temporary Data Scientist Nlp Jobs (NOW HIRING)

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX Roles & Responsibilities : - Design, build, fine-tune, and deploy LLMs, transformer-based NLP models ...

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... Experience in ML/NLP development pipelines of large data sets, both structured unstructured * At ...

Senior AI Research Scientist COMPANY OVERVIEW Every year, supply chain disruptions cause estimated ... Design, implement and use evaluation pipelines, including data annotation, scripting and automation.

We are seeking a highly skilled Data Scientist with strong expertise in Python, NLP, and Generative AI. The ideal candidate will have hands-on experience in building intelligent models using Natural ...

Atleast 5 years python (or equivalent) programming experience to work with ML/NLP models ... Data scientist, Secondary skills: Artificial intelligence/Machine learning.

We are seeking a Senior Data Scientist to lead the design and validation of AI-driven product ... This role focuses on defining what to build and why, leveraging machine learning, NLP, and large ...

Data Scientist

Needham, MA · On-site

$100 - $130/hr

We are looking for a Data Scientist to join our Research Team. The Beaconcure Research Team ... Your work will leverage techniques such as NLP, GenAI, and other ML-based techniques, as well as ...

Role: Data scientist Location: Hybrid 3 times a week in charlotte, NC or Atlanta, GA onsite ... Required Qualifications Strong experience in Machine Learning, NLP, Deep Learning, Statistical ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... Conduct sophisticated analysis using deployed tools and natural language processing (NLP)

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Temporary Data Scientist Nlp information

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How much do temporary data scientist nlp jobs pay per year?

As of Sep 6, 2026, the average yearly pay for temporary data scientist nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Data Scientist Nlp vs Temporary Data Analyst?

AspectTemporary Data Scientist NlpTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of NLP toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, research labs, or consulting firms focusing on NLP projectsBusiness, finance, or marketing departments analyzing data sets
Employer & Industry UsageUsed in industries requiring language processing, chatbots, sentiment analysis
Common Search & ComparisonOften compared for technical skills and project scope

Temporary Data Scientist Nlp roles focus on developing NLP models and algorithms, requiring specialized skills in language processing. Temporary Data Analysts primarily interpret data sets to inform business decisions. While both roles involve data handling, the Data Scientist Nlp role emphasizes machine learning and NLP techniques, whereas the Data Analyst role centers on data visualization and reporting.

More about Temporary Data Scientist Nlp jobs

What cities are hiring for Temporary Data Scientist Nlp jobs?

Cities with the most Temporary Data Scientist Nlp job openings:

What are the most commonly searched types of Data Scientist Nlp jobs?

The most popular types of Data Scientist Nlp jobs are:

What states have the most Temporary Data Scientist Nlp jobs?

States with the most job openings for Temporary Data Scientist Nlp jobs include:

Infographic showing various Temporary Data Scientist Nlp job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist (NLP and Unstructured Data Analytics)

Node.Digital

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Senior Data Scientist (NLP and Unstructured Data Analytics)

Location: Herndon, VA (Remote Work)

Must have a Public Trust Clearance

KEY RESPONSIBILITIES

  • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured and semi structured text, using optical character recognition, semantic similarity algorithms, and large language models as needed.
  • Design, develop, test, calibrate, and implement statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches.
  • Review, maintain, and support all existing loan fraud indicators developed by TSD.
  • Perform data quality analysis on source tables and develop repeatable processes for combining and analyzing large data sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, and adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
  • Develop case leads for SBA OIG investigations from model outcomes.
  • Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
  • Build visualizations and dashboards conveying methodological choices, outcomes, and predictive capability, iterated on end user feedback.
  • Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
  • Coordinate with the data engineering seat so the architecture supports machine learning and text processing pipelines efficiently.
  • Create programming and automation techniques using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
  • Identify new business questions that expand the scope of analysis and reporting.

Requirements

Required

Education

Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.

  • 5+ yearsDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ yearsDeveloping analytic rules and models using leading edge analytic tools and best practices.
  • 5+ yearsDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ yearsProviding data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ yearsManipulating data in Python. Pandas is required.
  • 3+ yearsWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ yearsConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ yearsDeveloping and scaling natural language processing solutions.
  • 2+ yearsPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS

  • Production experience with named entity recognition and entity resolution across messy document corpora.
  • Retrieval augmented generation, vector stores, embeddings, and semantic search at scale.
  • Large language model integration under federal security constraints, including boundary controlled deployment and prompt versioning.
  • Optical character recognition pipelines applied to scanned or low quality source documents.
  • Topic modeling, document classification, or clustering applied to audit, legal, or investigative text.
  • Cloud certification in Azure, AWS, or GCP.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training