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Sentiment Analysis Jobs in Georgia (NOW HIRING)

Perform Sentiment Analysis • Tune GenAI to optimize Rouge or Bleu score • Implement ReACT framework for recommendations • Prepare and present demos to client Qualifications : Required : • ...

Validating sentiment analysis results generated by the AI platform * Reviewing call recordings against transcripts to ensure accuracy * Confirming proper tagging and categorization of customer ...

New

Business Analyst

Alpharetta, GA · On-site

$70 - $100/hr

Apply Python-based data analysis techniques, including web scraping tools, to collect and monitor pricing data across multiple sales channels. Analyze customer feedback using sentiment analysis ...

D. preferred • 3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications ...

GA · On-site

Partner with Services Leadership to track key Services KPIs (NRR/GRR, retention, CSQLs) and deploy predictive churn models using sentiment analysis and usage data to automatically flag at-risk ...

GA · On-site

$114K - $143K/yr

Partner with Services Leadership to track key Services KPIs (NRR/GRR, retention, CSQLs) and deploy predictive churn models using sentiment analysis and usage data to automatically flag at-risk ...

Senior Engineer - Cloud Telephony

Atlanta, GA · On-site

$100K - $138K/yr

Integrate AI services such as Natural Language Processing (NLP), Speech Recognition, Voice Analytics, Sentiment Analysis * Continuously improve automation accuracy and customer self-service ...

Integrate AI services such as Natural Language Processing (NLP), Speech Recognition, Voice Analytics, Sentiment Analysis * Continuously improve automation accuracy and customer self‑service ...

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Showing results 1-20

Sentiment Analysis information

See Georgia salary details

$42.2K

$84.9K

$127.5K

How much do sentiment analysis jobs pay per year?

As of Sep 7, 2026, the average yearly pay for sentiment analysis in Georgia is $84,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $111,900.00 per year, depending on experience, location, and employer.

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 popular job titles related to Sentiment Analysis jobs in Georgia?

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

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

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

Infographic showing various Sentiment Analysis job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $84,945 per year, or $40.8 per hour.

AI Engineer- Experienced Associate- Commercial Technology & Innovation

Pwc

Atlanta, GA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Associate

Job Description & Summary

The Opportunity
As an AI Engineer- Experienced Associate- Commercial Technology & Innovation, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Advisory - Other practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. You will be expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope, using these experiences as opportunities to learn and grow.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying machine learning models using Python and TensorFlow
- Building and maintaining data pipelines and infrastructure to support AI solutions
- Conducting complex data analysis to inform decision-making and drive business growth
- Integrating data from various sources to enhance data quality and model accuracy
- Utilizing programming languages such as C++ and Java for AI software development
- Applying natural language processing techniques for text analytics and sentiment analysis
- Collaborating with cross-functional teams to deliver scalable AI solutions
- Engaging in continuous learning to adapt to new technologies and methodologies
- Supporting client engagements by providing technical expertise in AI and machine learning
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Excelling in AI implementation and complex data analysis
- Utilizing programming languages such as Python and C++
- Developing machine learning models using TensorFlow and Scikit-Learn
- Engaging in natural language processing and sentiment analysis
- Building data pipelines and confirming data quality

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK