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Home Based Data Scientist Nlp Jobs (NOW HIRING)

Contec

Home Based Data Entry Typist

Pittsburgh, PA · Remote

$16 - $19/hr

Home based data entry typists are responsible for transcribing information in a timely, accurate manner. In this position, you will also be required to submit completed assignments in the requisite ...

WinTrio LLC

$90 - $130/hr

This role applies AI, NLP, and conversational AI capabilities to modernize data collection across ... Support speech‑to‑text pipeline accuracy tuning and error analysis for phone based data ...

New

Mergen IT LLC

Data Scientist

Manor, TX · On-site

... SQL and/or cloud-based data warehouses to extract and prepare data • Collaborate with ... NLP or text analytics • Knowledge of MLOps basics (model versioning, monitoring)

1 point system

Senior Data Scientist

Chicago, IL · Remote

The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ... Experience with AWS, SageMaker, or similar cloud-based data science environments. * Experience ...

IQUASAR LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... and NLP tools. * Work alongside other AI/ML and DevOps engineers to establish automated AI ... Good understanding of databases and API-based data ETL operations * Strong knowledge of Linux or ...

iQuasar LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

... and NLP tools. * Work alongside other AI/ML and DevOps engineers to establish automated AI ... Good understanding of databases and API-based data ETL operations * Strong knowledge of Linux or ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ... Experience with AWS, SageMaker, or similar cloud-based data science environments. * Experience ...

Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

Data Scientist Location: Baltimore, MD (Onsite) Hiring Type: Contract Job Summary: We are seeking a ... Design, develop, and deploy machine learning and NLP models for text-based applications. * Work ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Data Science - Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly ... Collaborate using Git-based workflows; leverage tools like GitHub Copilot , Claude Code , etc.

System One

Data Scientist

Mclean, VA · Remote

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced ... Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights ...

System One

Data Scientist

Mclean, VA · Remote

Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced ... Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights ...

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Home Based Data Scientist Nlp information

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How much do home based data scientist nlp jobs pay per year?

As of Sep 7, 2026, the average yearly pay for home based 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 a home based data scientist nlp?

Home Based Data Scientist NLP jobs involve working remotely to analyze and interpret large sets of natural language data using machine learning and statistical techniques. These professionals develop algorithms and models that help computers understand, process, and generate human language. Common tasks include text classification, sentiment analysis, language modeling, and building chatbots. Being home based, these roles require strong self-management skills, as well as proficiency in programming languages such as Python and tools like TensorFlow or PyTorch.

What skills and qualifications are needed to be a home based data scientist nlp?

To excel as a Home Based Data Scientist in NLP, you need a strong background in statistics, machine learning, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, SpaCy, or Hugging Face), cloud platforms, and version control systems is typically required. Strong problem-solving skills, self-motivation, and effective remote communication set top performers apart in this role. These skills and qualities are vital for developing reliable NLP models, collaborating remotely, and delivering impactful data-driven solutions.

What are common challenges faced by home based data scientists nlp, and how can they be addressed?

Home-based Data Scientists working in NLP often encounter challenges such as limited direct collaboration with teammates, access to large datasets, and maintaining motivation in a remote setting. To overcome these, leveraging collaborative tools like version control systems, regular video meetings, and chat platforms can help maintain team communication. Secure access to data via cloud platforms and establishing a structured daily routine also contribute to productivity. Proactively seeking feedback and participating in virtual knowledge-sharing sessions can further enhance growth and engagement.

What is the difference between Home Based Data Scientist Nlp vs Remote Data Analyst?

AspectHome Based Data Scientist NlpRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in NLP toolsDegree in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentHome-based, often independent or freelanceHome-based, typically part of a team or organization
Industry UsageTech, healthcare, finance, researchBusiness, marketing, finance, healthcare
Common Search/ComparisonYesNo

Home Based Data Scientist Nlp professionals focus on natural language processing tasks, developing models and algorithms for language understanding. Remote Data Analysts primarily analyze structured data to generate insights. While both roles can be home-based and require data skills, NLP expertise distinguishes the Data Scientist Nlp from the more general Data Analyst role.

What cities are hiring for Home Based Data Scientist Nlp jobs?

Cities with the most Home Based 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 Home Based Data Scientist Nlp jobs?

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

Home Based Data Scientist Nlp jobs near you

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 9 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

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