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Sentiment Analysis Jobs in New York (NOW HIRING)

Knak Digital

Solutions Engineer

Manhattan, NY · On-site

$90K - $140K/yr

Translate ML capabilities (sentiment analysis, logo/facial recognition, OCR, narrative detection across text, image, audio, and video) into concrete business cases * Present to C-suite and hands-on ...

Knak Digital

Solutions Engineer

Manhattan, NY · Remote

$90K - $140K/yr

Translate ML capabilities (sentiment analysis, logo/facial recognition, OCR, narrative detection across text, image, audio, and video) into concrete business cases * Present to C-suite and hands-on ...

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 ...

1 point system

Kore.AI Developer

New York, NY · Remote

$53.75 - $69.25/hr

NLP, intents, entities, dialog design, sentiment analysis. * Experience with bot orchestration, event handling, webhooks, and bot lifecycle management. * Knowledge of JSON, XML, MySQL/NoSQL, and ...

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Sentiment Analysis information

How much do body language experts get paid?

Body language experts, often working as communication consultants or trainers, typically earn between $40,000 and $80,000 annually, depending on experience, location, and client base. Salaries can vary widely, especially for those with specialized skills or certifications in nonverbal communication and behavioral analysis.

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.

Is 40 too late for data science?

Sentiment analysis is a common data science role that values skills and experience over age. Many professionals transition into data science later in their careers by learning programming languages like Python or R and gaining relevant certifications. Age should not be a barrier if you develop the necessary technical skills and build a strong portfolio.

What is a Sentiment Analysis job?

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 is the work of sentiment analysis?

Sentiment analysis involves using natural language processing and machine learning techniques to identify and classify emotions or opinions expressed in text data. Professionals in this field develop models to analyze social media, reviews, or customer feedback, helping organizations understand public perception and make data-driven decisions.

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 jobs will boom in 2026?

Jobs in data analysis, artificial intelligence, and machine learning, including roles like sentiment analysis specialists, are expected to grow significantly by 2026. These roles require skills in programming, statistical analysis, and familiarity with tools like Python and natural language processing techniques.
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 June 2026, with employment types broken down into 43% Full Time, 42% Part Time, 9% Temporary, and 6% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Solutions Engineer

Knak Digital

Manhattan, NY • On-site

$90K - $140K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago

Job description

The Company AI-powered social intelligence platform. Clients include Fortune 500 brands, PR firms, financial institutions, and government agencies.
The Role: Solutions Engineer Own the technical side of enterprise deals from pre-sales through deployment.
What You'll Do
  • Run complex POCs and custom demos for enterprise buyers
  • Translate ML capabilities (sentiment analysis, logo/facial recognition, OCR, narrative detection across text, image, audio, and video) into concrete business cases
  • Present to C-suite and hands-on analysts in the same week and land both
  • Feed client requirements directly into product roadmap conversations
  • Partner with sales, CS, and engineering across the full deal cycle

What They're Looking For
  • Proven technical wins in enterprise SaaS sales cycles
  • Fluency in APIs, data pipelines, and system architecture
  • Comfortable going deep with engineers and staying clear with executives
  • Background in social analytics, brand monitoring, crisis comms, or risk intelligence is a real plus
  • Self-directed and comfortable in a fast-moving startup environment

Comp and Benefits
  • Base: $90k - $140k plus equity
  • 100% employer-paid health premiums (50% for dependents)
  • Remote-first, unlimited PTO, 401k, FSA

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