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Home Based Data Scientist Nlp Jobs (NOW HIRING)

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

Analytica is seeking a Data Scientist to support long term federal client engagements projects in ... We ensure that all employment decisions are based on merit, qualifications, and business needs. We ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

Analytica is seeking a Data Scientist to support long term federal client engagements projects in ... We ensure that all employment decisions are based on merit, qualifications, and business needs. We ...

Machinify

Staff Data Scientist | NLP

$180K - $230K/yr

Fine-tune and evaluate LLMs (open-source and API-based); build RAG pipelines and agentic workflows ... m anywhere in the US! Machinify is digital-first. * Top Medical/Dental/Vision offerings * FSA/HSA

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$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 ...

Smarsh

OR

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Lead the design, training, and deployment of NLP and transformer-based models for financial ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Lead the design, training, and deployment of NLP and transformer-based models for financial ...

Smarsh

Lead Data Scientist

New York, NY

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Lead the design, training, and deployment of NLP and transformer-based models for financial ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Lead the design, training, and deployment of NLP and transformer-based models for financial ...

Smarsh

Lead Data Scientist

Atlanta, GA

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Lead the design, training, and deployment of NLP and transformer-based models for financial ...

Smarsh

Lead Data Scientist

OR · Remote

$166K - $214K/yr

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Lead the design, training, and deployment of NLP and transformer-based models for financial ...

TMS

Data Scientist

New York, NY · On-site

$60 - $62/hr

Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit ... Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake)

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Home Based Data Scientist Nlp information

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$37.5K

$122.7K

$196.5K

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

As of Jul 26, 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 are the key skills and qualifications needed to thrive as a Home Based Data Scientist specializing in NLP, and why are they important?

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 Home Based Data Scientist NLP jobs?

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 are some common challenges faced by home-based Data Scientists specializing in 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

Data Scientist - NLP & AI

VeeRteq Solutions Inc.

Houston, TX • On-site

Other

Posted 11 days ago

Job description

Data Scientist – NLP & AI

Experience: 7+ YearsLocation: Houston, TX – At least two days in office/weekWhat is in it for you?

As a Data Scientist – NLP & AI, you will be part of an agile team focused on building intelligent healthcare solutions by developing advanced NLP modules, integrating LLMs and agentic workflows, and leveraging AWS big data technologies to enhance clinical data processing and usability.

Responsibilities:

  • Analyze and process clinical textual data using AI-powered NLP techniques and advanced machine learning models.

  • Modify and improve current workflows by incorporating cutting-edge machine learning and deep learning algorithms, including leveraging large language models (LLMs) and tools like LangGraph for complex AI agentic workflows in healthcare contexts.

  • Develop NLP modules within the NLP development team using programming or scripting languages such as Python.

  • Conduct pre-processing and quality analysis for textual data inputs and validate performance of NLP outputs.

  • Create systematic testing procedures, error-checking mechanisms, and user manuals for NLP modules.

  • Build infrastructure for optimal extraction, transformation, and loading of data from diverse sources including MCP servers, using SQL and AWS big data frameworks such as EMR and Spark/pySpark.

  • Collaborate with Engineering teams to ensure scalable and efficient data workflows using SQL and AWS big data technologies.

  • Apply working knowledge of AWS services, particularly AWS Bedrock, to develop generative AI applications.

  • Utilize relational databases such as PostgreSQL or MySQL for data storage and retrieval in NLP and AI workflows.

Skills:Mandatory skills

  • Proficiency in Python and scripting languages for NLP and machine learning development.

  • Strong understanding of clinical NLP techniques and experience with machine learning and deep learning models.

  • Hands-on experience with large language models and agentic workflow tools such as LangGraph.

  • Expertise in SQL and big data technologies including AWS EMR and Spark/pySpark.

  • Practical knowledge of AWS services, especially AWS Bedrock for generative AI applications.

  • Experience with relational databases such as PostgreSQL or MySQL.

Good to have skills

  • Familiarity with generative AI applications in healthcare and related use cases.

  • Understanding of healthcare data standards and terminologies such as HL7, FHIR, and CCDA.

  • Experience in creating detailed documentation, user manuals, and technical specifications.

  • Background in automated testing and validation frameworks for NLP outputs.

  • Ability to collaborate effectively with cross-functional teams including engineering and products.

  • Exposure to LangChain or similar frameworks for building intelligent agent workflows.

Educational Qualifications:

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.