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Sentiment Analysis Jobs in New York (NOW HIRING)

Clera

Senior ML/AI Engineer

New York, NY · On-site

$170K - $230K/yr

You'll own the intelligent systems that power demand forecasting, consumer sentiment analysis, competitive benchmarking, and autonomous decision-making - applied AI with direct, measurable business ...

Getclera

Senior ML/AI Engineer

Manhattan, NY · On-site

$140 - $180/hr

What You'll Do Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale Develop and iterate on Merciv ...

Found

Social Media Coordinator

New York, NY

Interest in leveraging AI tools to enhance community workflows, sentiment analysis, reporting efficiency, and response drafting * Understanding of escalation frameworks and cross-functional triage ...

VaynerMedia LLC

Director, Influencer Strategy

New York, NY · On-site

$135K - $165K/yr

... sentiment analysis includes reporting on the drivers for positivity and/or negativity - Social listening analysis includes constructing Boolean queries and using social listening tools to analyze ...

Unchain Data

Brand Data Strategist

Manhattan, NY · On-site

$120 - $190/hr

You'll own campaign measurement, brand tracking, sentiment analysis, consumer research, and competitive intelligence. You'll help the marketing team understand which messages resonate, which creators ...

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Sentiment Analysis information

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 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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution.

Data Scientist SPG

HireTalent - Staffing & Recruiting Firm

Manhattan, NY • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
HireTalent is a staffing and recruiting firm, and they are seeking a Data Scientist SPG. The successful candidate will work on Natural Language Processing and Machine Learning methods to enhance front-office applications related to credit analysis and trading strategies.
Responsibilities:
• perform groundbreaking work in Natural Language Processing and Machine Learning methods
• tailor them to front-office applications involving credit analysis, trading strategies, pricing models, and more
• apply NER and sentiment analysis techniques to analyze corporate financial documents and news articles
• use state-of-the-art parsing methods to extract bond covenant information
• use a training model to derive bond behavior under stressed scenarios
Qualifications:
Required:
• MS or PhD in Natural Language Processing, Machine Learning, or related field
• 5+ years, a combination of professional and/or research experience
• Apply different NLP techniques to areas such as sentiment analysis, classification, data/knowledge extraction, disambiguation
• Expertise in NLP methods such as LSA, LDA, Semantic Hashing, Word2Vec, LSTM, BiDAF
• Client experience with different supervised and unsupervised learning algorithms
• Expertise in one or more programming languages: Java 8, Scala, Python, R, willing to consider others
• Experience working with large, complex and diverse data sets from a variety of sources
Preferred:
• StanfordCoreNLP/GATE experience a plus
• Experience with Spark, or similar frameworks a plus
• Publications on Client/NLP a big plus
Company:
HireTalent is a certified Minority Business Enterprise (MBE) workforce solutions firm, specializing in securing the best talent fits in Executive/Retained Search, Direct Hire Placements, MSP, SOW, and nationwide hiring program management and support. Founded in 1997, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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