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Sentiment Analysis Jobs in New York (NOW HIRING)

Socket.dev

Analytics & Insights Manager

Manhattan, NY · On-site

$90 - $150/hr

Experience with third party measurement solutions such as brand lift studies and sentiment analysis preferred * Organised with high attention to detail * Strong communication and presentation skills

ArcSpan Media

Director/VP, Data Product

Manhattan, NY · On-site

$255K - $267K/yr

Experience with natural language processing, sentiment analysis. * Strong communication and interpersonal skills. * Ability to share/collaborate with peers; experience with working in an agile team ...

ArcSpan Media

Director/VP, Data Product

Manhattan, NY · On-site +1

$255K - $267K/yr

Experience with natural language processing, sentiment analysis. * Strong communication and interpersonal skills. * Ability to share/collaborate with peers; experience with working in an agile team ...

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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 72% Full Time, and 28% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

Senior ML/AI Engineer, Agentic Intelligence

Merciv

Manhattan, NY • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

About Merciv

Merciv is building the intelligence layer for enterprise commerce. We connect an organization's entire data landscape — internal systems, social signals, industry reports, consumer behavior — and surface the insights and automated workflows that used to take analysts weeks.

We raised $14M in seed funding, spent two years in stealth building the right thing, and we're now launching publicly. Our platform already drives 8-figure gross margin improvements for some of the world's largest retailers.

We're a lean, high-ownership team. If you want to see your work matter immediately, this is it.

The Role

You’ll build and deploy the intelligent systems at the core of Merciv. Our platform doesn't just surface insights — it reasons, forecasts, and acts autonomously across complex enterprise data landscapes. You’ll develop the models and agentic architectures that power demand forecasting, consumer intelligence, competitive analysis, and autonomous decision‑making for the world's largest retailers.

This is applied AI at its most impactful. You’ll work at the intersection of cutting‑edge research and real enterprise deployment, building systems that generate tens of millions in value for clients.

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’s agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous action.

  • Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment.

  • Architect RAG systems and LLM integrations that power Merciv’s natural language interfaces and autonomous workflows.

  • Collaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scale.

  • Own model performance end-to-end: monitoring, retraining, and continuous improvement in production.

  • Stay at the frontier of AI research and bring relevant innovations into the platform.

You May Be a Good Fit If

  • You have 5+ years of applied ML/AI experience with models deployed in production.

  • You have an M.S. or Ph.D. in CS, Machine Learning, Statistics, or equivalent practical experience.

  • You’re deeply proficient in Python with hands‑on experience in PyTorch, TensorFlow, or scikit‑learn.

  • You have a strong background in statistical analysis, predictive modeling, and time series forecasting.

  • You’ve worked on agentic AI systems, multi‑agent orchestration, NLP, LLMs, and RAG architectures.

  • You care about model interpretability and building systems enterprise users can actually trust.

  • Former technical founders are encouraged to apply — we care more about what you’ve built than how long you’ve been building.

Bonus points for:

  • Background in retail, supply chain, or demand forecasting.

  • Experience with graph neural networks or knowledge graphs.

  • Familiarity with MLOps platforms and model serving infrastructure.

  • Open‑source contributions or published research.

Benefits

  • Competitive salary, meaningful equity, health/dental/vision, 401k, home office stipend, flexible PTO.

Logistics

  • On-site in NYC, 3-5 days/week.

  • Visa sponsorship available.

  • Applications reviewed on a rolling basis.

Equal Employment Opportunity

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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Merciv logo

About Merciv

Sourced by ZipRecruiter

Industry

Arts, entertainment, and recreation

Company size

1 - 10 Employees

Headquarters location

New York, NY, US

Year founded

2017

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