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Remote Sentiment Analysis Jobs in Massachusetts (NOW HIRING)

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Remote Sentiment Analysis information

What is remote sentiment analysis?

Remote sentiment analysis is the process of evaluating and interpreting the emotional tone behind text data, such as social media posts, customer reviews, or emails, while working from a remote location. Professionals in this field use natural language processing (NLP) tools and machine learning algorithms to identify opinions, attitudes, or emotions expressed in written content. This information helps businesses understand customer feelings, improve products, and enhance marketing strategies. Remote sentiment analysts often collaborate with teams online and use cloud-based platforms to access and analyze large datasets. The role requires strong analytical skills, attention to detail, and proficiency with relevant software.

What are some common challenges faced by professionals working in remote sentiment analysis roles, and how can they be managed?

One of the main challenges in remote sentiment analysis roles is maintaining accuracy across diverse datasets, especially when interpreting nuanced language or cultural context. Working remotely can also make collaboration with team members and quick feedback loops more difficult. To overcome these issues, professionals often use collaborative platforms for regular communication, participate in ongoing training to stay updated on language trends, and rely on standardized annotation guidelines to ensure consistency. Being proactive in seeking feedback and sharing insights with the team greatly enhances both individual and project performance.

What are the key skills and qualifications needed to thrive as a remote sentiment analyst, and why are they important?

To thrive as a Remote Sentiment Analyst, you need a background in linguistics, data analysis, and a strong understanding of natural language processing (NLP), often supported by a degree in a related field. Familiarity with sentiment analysis tools, machine learning platforms, and data visualization software is typically required. Strong attention to detail, critical thinking, and effective written communication help analysts interpret nuanced data and present findings clearly. These skills are essential for accurately assessing sentiment in large data sets and driving actionable insights for business or research objectives.

What is the difference between Remote Sentiment Analysis vs Remote Data Labeling Specialist?

AspectRemote Sentiment AnalysisRemote Data Labeling Specialist
Required CredentialsBasic data analysis, NLP knowledgeData annotation, labeling tools familiarity
Work EnvironmentRemote, tech companies, AI/ML projectsRemote, AI/ML, data preparation teams
Industry UsageAI, NLP, customer feedback analysisMachine learning training data creation
Common Search IntentUnderstanding sentiment analysis rolesComparing data labeling jobs

Remote Sentiment Analysis involves evaluating text data to determine sentiment, often requiring NLP skills. Remote Data Labeling Specialists focus on annotating data for machine learning models, including sentiment labels. While both roles support AI development, sentiment analysis emphasizes interpreting data, whereas data labeling involves preparing data. Candidates should consider their skills and career goals when choosing between these roles.

What are the most commonly searched types of Sentiment Analysis jobs in Massachusetts?

The most popular types of Sentiment Analysis jobs in Massachusetts are:

What are popular job titles related to Remote Sentiment Analysis jobs in Massachusetts?

For Remote Sentiment Analysis jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Sentiment Analysis jobs in Massachusetts look for?

The top searched job categories for Remote Sentiment Analysis jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Sentiment Analysis jobs?

Cities in Massachusetts with the most Remote Sentiment Analysis job openings:

Infographic showing various Remote Sentiment Analysis job openings in Massachusetts as of June 2026, with employment types broken down into 2% Internship, 80% Full Time, 12% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist - Healthcare/Insurance - REMOTE

Everforth, Cybercoders

Boston, MA โ€ข Remote

$190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Senior Data Scientist

Senior Data Scientist
Fully REMOTE - working mostly East Coast/Central hours
Compensation up to $190,000 depending on location, experience and skills
Join a growing AI and Data Science team focused on developing advanced machine learning, predictive analytics, natural language processing, and generative AI solutions that improve outcomes, drive operational performance, and support data-driven decision making in a healthcare environment. This Senior Data Scientist must have experience with Healthcare, Insurance and HIPAA.
This role is responsible for leading the design, development, and deployment of predictive models, AI applications, and advanced analytics solutions. The ideal candidate has deep expertise in machine learning, NLP, and generative AI, with experience taking solutions from research and experimentation through production deployment and ongoing optimization.
Responsibilities:
-    Develop and deploy predictive models for risk prediction, behavioral engagement, outcome forecasting, and scoring frameworks.
-    Lead the end-to-end data science lifecycle including feature engineering, model development, validation, deployment, monitoring, and performance optimization.
-    Build NLP and generative AI solutions that extract actionable insights from clinical and operational text data.
-    Design and implement LLM-powered applications utilizing RAG architectures, prompt engineering, vector databases, model evaluation, and AI guardrails.
-    Develop speech and audio analytics solutions including automatic speech recognition (ASR), speaker diarization, sentiment analysis, and emotion detection.
-    Create conversational AI and decision-support tools that deliver actionable recommendations and business insights.
-    Conduct experimentation, A/B testing, cohort analysis, and statistical evaluations to measure program effectiveness and business impact.
-    Drive model explainability, governance, fairness, and monitoring initiatives, including drift detection and performance management.
-    Collaborate with Data Engineering and ML Operations teams to support feature stores, scoring pipelines, MLOps workflows, model registries, and CI/CD processes.
-    Mentor junior data scientists and contribute to the organization's AI strategy, technical standards, and innovation roadmap.
Requirements:
-    Master's degree in Data Science, Statistics, Computer Science, Machine Learning, Computational Linguistics, Mathematics, or a related quantitative field. PhD preferred.
-    7+ years of experience developing and deploying machine learning, NLP, and AI solutions in production environments.
-    Healthcare, managed care, health plan, payer, insurance, or other healthcare analytics experience required.
-    Proven success delivering end-to-end data science solutions from concept through deployment and ongoing monitoring.
-    Experience mentoring team members and contributing to technical best practices.
-    Expert-level Python including pandas, NumPy, scikit-learn, PyTorch, and/or TensorFlow.
-    Strong experience with machine learning techniques including XGBoost, LightGBM, regularized regression, survival analysis, time-series forecasting, causal inference, reinforcement learning, and advanced statistical modeling.
-    Hands-on experience with LLMs, RAG frameworks, Hugging Face, LangChain, transformer models (BERT, GPT), vector databases, model fine-tuning, and evaluation techniques.
-    Experience with NLP platforms including spaCy, scispaCy, MedSpaCy, and related healthcare NLP technologies.
-    Knowledge of speech and audio machine learning including ASR, speaker diarization, sentiment analysis, and emotion detection.
-    Experience with Databricks, Delta Lake, MLflow, Spark, and cloud platforms including AWS services such as S3, SageMaker, Bedrock, Redshift, and Athena.
-    Strong SQL skills with experience working across relational, NoSQL, and data lakehouse environments.
-    Familiarity with Docker, Kubernetes, MLOps, model governance, CI/CD, experiment tracking, and model monitoring frameworks.
This position is ideal for a senior-level data scientist with healthcare, insurance and HIPAA experience, who enjoys building production-grade AI solutions, leveraging cutting-edge machine learning technologies, and delivering measurable impact through advanced analytics and intelligent automation.

Benefits

Medical/Dental/Vision
401K with 40% match up to first 6% of associated contributions
PTO, Holidays, Personal Days, Community Service Day

- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 08/18/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.

Salary

$135000 - $190000 USD per year