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Text Analytics Jobs in New York (NOW HIRING)

Experience working with unstructured data, text analytics. * Experience with market data, financial data charting, analytics. * Proficiency in scripting, query languages, e.g., Python, Rust, SQL.

Experience working with unstructured data, text analytics. * Experience with market data, financial data charting, analytics. * Proficiency in scripting, query languages, e.g., Python, Rust, SQL.

Utilize strategic thinking skills to write headlines in reports and interpret data using statistical software and other tools (e.g., SPSS, , Excel, text analytics software, agile survey platforms ...

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Bachelors or Masters in Computer Science / Data Science / Business Analytics By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... text analytics systems. Company : Keystone is an innovative strategy, economics, and technology consulting firm delivering transformative ideas and novel solutions to global brands and law firms on ...

ESB integrations Experience in Text Analytics using technologies like Apache Lucene (Solr), Stanford NLP, Weka machine learning library Background in the banking sector and/or insurance a plus. Best ...

ESB integrations Experience in Text Analytics using technologies like Apache Lucene (Solr), Stanford NLP, Weka machine learning library Background in the banking sector and/or insurance a plus. Best ...

You've exposure in Online / Digital analytics & Text Mining. Here's what we can offer. Competitive base salary of $100K+ Bonus and Benefits+ Relocation Assistance Work Authorization: US Citizens ...

Data Scientist

Manhattan, NY · On-site

$150 - $200/hr

... text analysis techniques* • Strong communication skills and ability to present to non-technical audiencesfor details. #J-18808-Ljbffr

... and text analytics), Amazon Lex (for conversational interfaces), and Amazon Polly (for text-to-speech). Experience integrating these services into end-to-end AI/ML pipelines, managing model ...

Showing results 21-40

Text Analytics information

See New York salary details

$70.6K

$137.1K

$195.8K

How much do text analytics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for text analytics in New York is $137,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $163,000.00 per year, depending on experience, location, and employer.

What is a text analytics?

A Text Analytics job involves extracting meaningful insights from unstructured text data using techniques like Natural Language Processing (NLP), machine learning, and statistical methods. Professionals in this field analyze text from sources such as customer reviews, social media, and documents to identify patterns, sentiment, and trends. Their work helps businesses make data-driven decisions, automate processes, and improve customer experiences. Common responsibilities include text preprocessing, developing models, and visualizing results for stakeholders.

What does a text analytics do?

Professionals in Text Analytics often work on projects such as sentiment analysis, topic modeling, entity recognition, and document classification, drawing insights from unstructured text data. A typical day may involve leveraging machine learning algorithms, cleaning and preprocessing text datasets, and presenting findings to stakeholders via reports or dashboards. Many text analytics specialists collaborate closely with data science teams, software developers, and business analysts to integrate their work into larger products and solutions. These responsibilities not only help organizations better understand customer feedback and market trends but also enable the automation of information extraction and decision-making processes. Over time, excelling in these areas can open doors to senior data science roles, lead analyst positions, or specialized NLP research opportunities.

What are the key skills and qualifications needed to thrive in text analytics?

To thrive in Text Analytics, you need expertise in natural language processing (NLP), data analysis, and strong programming skills in languages such as Python or R, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like NLTK, SpaCy, TensorFlow, and data visualization platforms, as well as relevant certifications in data science or machine learning, is highly valued. Critical thinking, communication, and problem-solving abilities help professionals interpret complex textual data and convey insights to diverse audiences. These skills are important because they enable you to extract actionable information from large datasets, drive data-driven decision-making, and support organizational goals efficiently.

What are the most commonly searched types of Text Analytics jobs in New York?

The most popular types of Text Analytics jobs in New York are:

What job categories do people searching Text Analytics jobs in New York look for?

The top searched job categories for Text Analytics jobs in New York are:

Infographic showing various Text Analytics job openings in New York as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $137,111 per year, or $65.9 per hour.

Lead AWS AI Engineer

Accord Technologies Inc.

Piscataway, NJ • On-site

$104K - $137K/yr

Contractor

Re-posted 6 days ago


Job description

Title: Lead AWS AI Engineer 
Location: Piscataway, NJ
Experience level: min 10+ years

Position type: W2 position
Start Date – Immediate

 

Mandatory skills: AWS AI stack, Amazon Transcribe, Amazon Comprehend, Amazon Bedrock
 

Role Summary

We are seeking an experienced AWS AI Engineer – Lead to design, develop, and lead enterprise-scale AI/ML solutions on AWS.
The ideal candidate will have strong expertise in the AWS AI stack, with hands-on experience in Amazon Transcribe, Amazon Comprehend, and Amazon Bedrock, along with a proven ability to architect and deploy intelligent, scalable, and secure cloud-native solutions.

Key Responsibilities

  • Lead the design and implementation of AI/ML solutions using AWS services.
  • Architect and build intelligent applications leveraging the AWS AI stack.
  • Develop and integrate solutions using:Amazon Transcribe for speech-to-text and audio processing use cases
  • Amazon Comprehend for natural language processing, sentiment analysis, entity recognition, and text analytics
  • Amazon Bedrock for building generative AI applications using foundation models
  • Collaborate with business, product, and engineering teams to identify AI-driven opportunities and translate requirements into scalable solutions.
  • Design end-to-end data and AI workflows, including ingestion, preprocessing, model integration, and deployment.
  • Ensure AI solutions meet security, compliance, performance, and cost-optimization requirements.
  • Guide the team on best practices for AWS architecture, MLOps, and AI solution deployment.
  • Provide technical leadership, mentoring, and code/design reviews for junior engineers.
  • Evaluate emerging AWS AI/ML services and recommend innovative solutions for business needs.

Required Skills

  • Strong experience as an AWS AI Engineer / Lead AI Engineer / Solution Architect.
  • Deep hands-on expertise in the AWS AI stack, especially:
  • Amazon Transcribe
  • Amazon Comprehend
  • Amazon Bedrock
  • Strong understanding of AI/ML solution architecture on AWS.
  • Experience building NLP, speech analytics, and generative AI applications.
  • Proficiency in Python and working knowledge of APIs, SDKs, and cloud-native integrations.
  • Experience with AWS services such as Lambda, S3, API Gateway, Step Functions, IAM, CloudWatch, and SageMaker.
  • Knowledge of prompt engineering, foundation models, and LLM-based application development.
  • Experience with CI/CD, DevOps, and MLOps practices in cloud environments.
  • Strong understanding of security, scalability, and cost optimization in AWS.
  • Excellent problem-solving, leadership, and stakeholder management skills.

Preferred Qualifications

  • AWS certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect.
  • Experience with enterprise AI transformation programs.
  • Familiarity with vector databases, RAG architectures, and conversational AI solutions.
  • Experience in deploying production-grade generative AI solutions.