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Sentiment Analysis Jobs in New York (NOW HIRING)

Aquent

Community Manager, Product Marketing

Manhattan, NY · On-site +1

$74 - $80/hr

Social Listening & Sentiment Analysis: Comfortable identifying trends, recurring themes, audience sentiment, and actionable insights from ongoing social conversations. * Process Builder: Proven ...

Moody's Analytics

Senior DevOps Engineer (Remote)

New York, NY · Remote

$142K - $182K/yr

... sentiment analysis, credit adversity, and more. Interested in machine learning? Take advantage of our growing team's collective knowledge and learn as you go. We fully embrace cross-training and ...

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Sentiment Analysis information

What are the key skills and qualifications needed to thrive in the sentiment analysis position, and why are they important?

To excel in Sentiment Analysis, you need a solid understanding of natural language processing (NLP), data analysis, and a degree in computer science, linguistics, or a related field. Familiarity with tools such as Python (with libraries like NLTK, spaCy, or TextBlob), machine learning frameworks, and data visualization software is typically required. Strong problem-solving abilities, analytical thinking, and clear communication skills help professionals effectively interpret data and present insights. These capabilities are crucial for accurately assessing public opinion, improving customer experiences, and guiding business decisions through actionable sentiment data.

What is a sentiment analysis?

A Sentiment Analysis job involves using natural language processing (NLP), machine learning, and data analysis techniques to evaluate and interpret emotions in text data. Professionals in this role analyze customer reviews, social media posts, and other textual content to determine sentiment as positive, negative, or neutral. They help businesses understand customer opinions, track brand perception, and improve decision-making. This role often requires skills in programming, data science, and linguistic analysis.

What are some common challenges encountered in sentiment analysis roles?

Professionals in Sentiment Analysis often face challenges such as dealing with nuanced language, sarcasm, and context-dependent expressions that can affect analysis accuracy. Datasets may require extensive cleaning and pre-processing, and models must be continually refined to keep up with evolving language trends. Collaborating closely with product, marketing, or data science teams is vital to ensure that sentiment insights translate into actionable strategies. Staying up-to-date with advancements in NLP and regularly validating models helps maintain the quality and relevance of your analyses.

What are the most commonly searched types of Sentiment Analysis jobs in New York? The most popular types of Sentiment Analysis jobs in New York are:
What are popular job titles related to Sentiment Analysis jobs in New York? For Sentiment Analysis jobs in New York, the most frequently searched job titles are:
What job categories do people searching Sentiment Analysis jobs in New York look for? The top searched job categories for Sentiment Analysis jobs in New York are:
Sentiment Analysis jobs near you
Infographic showing various Sentiment Analysis job openings in New York as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Contact Center Engineer - Amazon Connect

Timebox Pro

Parsippany, NJ • On-site

$90K - $120K/yr

Full-time

Posted 3 days ago

New

Job description


About Us
At Timebox Pro, we’re redefining guest support with innovative cloud-first contact center solutions. As a leader in the travel and hospitality industry, we are committed to delivering exceptional customer experiences at every interaction. We are looking for a Contact Center Engineer who can help us build, scale, and optimize intelligent customer support platforms using Amazon Connect.
Role Overview
As a Contact Center Engineer, you will play a pivotal role in designing and implementing next-gen contact center experiences leveraging Amazon Connect and the broader AWS ecosystem. You will work closely with customer support, IT, and engineering teams to deliver seamless, AI-powered guest interactions that enhance satisfaction and streamline support operations.
Key Responsibilities
• Design, implement, and optimize cloud-based contact center solutions using Amazon Connect
• Develop voice and chatbots using Amazon Lex, Lambda, and other AWS services
• Integrate Amazon Polly for text-to-speech and Amazon Comprehend for sentiment analysis
• Leverage APIs for CRM, ticketing, and internal system integrations
• Collaborate with cross-functional teams to enhance automation, routing logic, and personalization
• Implement analytics and monitoring solutions for call flows and agent performance
• Ensure reliability, scalability, and security of the contact center infrastructure
Required Qualifications
• 4–6 years of experience in building and supporting contact center applications
• Strong hands-on expertise with Amazon Connect, Lex, Lambda, and AWS core services
• Experience with Amazon Polly (TTS) and Amazon Comprehend (NLP/Sentiment analysis)
• Proficiency in REST APIs and integration with third-party systems
• Understanding of contact flow design, IVR logic, and call analytics
• Experience working in agile and cross-functional team environments
Preferred Skills
• Exposure to Amazon Bedrock and Large Language Models (LLMs) for conversational AI
• Knowledge of AI/ML-driven automation in customer support systems
• Familiarity with Conversational AI architecture and frameworks
• AWS Certifications (e.g., AWS Certified Solutions Architect, Machine Learning Specialty)
• Experience with Workforce Management (WFM) tools for contact centers (e.g., forecasting, scheduling, adherence)
• Experience with skill-based routing strategies in Amazon Connect
• Ability to configure contact attributes and design intelligent routing logic for personalized experiences
• Understanding of how to optimize agent utilization and service levels using WFM analytics
• Experience with reporting and business intelligence tools, especially Amazon QuickSight
Why Work with Us?
• Drive innovation in guest support through cutting-edge cloud technologies
• Be part of a digitally forward team in a global travel brand
• Opportunity to work with AI and automation for meaningful impact
• Collaborative, supportive, and mission-driven work culture
Apply Now!!