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Sentiment Analysis Jobs in California (NOW HIRING)

Hands-on experience with text analytics, NLP, and sentiment analysis - including working with conversation or transcript data at scale.Experience defining and establishing performance metrics and ...

... sentiment analysis, and topic modelling. • Hands-on research experience with time series modeling and forecasting with statistical, machine learning, deep learning-based, and/or foundation model ...

Data Scientist, Support

San Francisco, CA · On-site

$230K - $255K/yr

Hands‑on experience fine‑tuning or prompt‑engineering LLMs to build text classifiers, sentiment analysis, or tagging systems. * Demonstrated ability to translate complex datasets into clear ...

... sentiment analysis, and topic modelling. Hands-on research experience with time series modeling and forecasting with statistical, machine learning, deep learning-based, and/or foundation model ...

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Sentiment Analysis information

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 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 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 most commonly searched types of Sentiment Analysis jobs in California? The most popular types of Sentiment Analysis jobs in California are:
What job categories do people searching Sentiment Analysis jobs in California look for? The top searched job categories for Sentiment Analysis jobs in California are:
What cities in California are hiring for Sentiment Analysis jobs? Cities in California with the most Sentiment Analysis job openings:
Infographic showing various Sentiment Analysis job openings in California as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
WW RCC Data Scientist

WW RCC Data Scientist

Apple

Cupertino, CA • On-site

Full-time

Posted 8 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work...Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things...We are seeking a highly motivated Senior Data Scientist to help inform innovation strategy by leading analysis into behavioral segmentation, pilot measurement, text analytics and AI tools integration. In this role, you will be part of Apple Store Online, with a particular focus on Retail Customer Care (RCC) performance and decision support. Using data and quantitative techniques, the decision support team acts as a consultant, providing insights and recommendations to inform the org's innovation strategy and to drive operational performance improvements at vendor and Apple contact center sites.
In this role, you will define how we measure the performance of automated customer interaction systems, build analytical frameworks to compare outcomes across interaction models, and deliver insights that determine where automation creates value and where human expertise remains essential. You will work with structured operational data and unstructured conversation data at scale, applying NLP, experimentation, and statistical modeling to drive decisions that directly impact revenue, cost, and customer experience.You will be a part of the World Wide Analytics team within Retail Contact Center, partnering closely with engineering, operations, and product teams to measure and optimize performance across our global contact center operations.
8+ years experience working within business analytics, web analytics, e-commerce and customer analytics.Bachelor's degree in computer science, mathematics, finance, statistics, econometrics or other quantitative field and 8 + years of professional experience in data science, machine learning, or advanced analytics, with demonstrated ability to translate business objectives into analytical frameworks and measurable outcomes.Hands-on experience with text analytics, NLP, and sentiment analysis - including working with conversation or transcript data at scale.Experience defining and establishing performance metrics and KPIs - particularly for new programs, systems, or technologies where measurement frameworks don't yet exist.Experience designing and analyzing A/B tests and/or experience with quasi-experimental methods (ex. causal inference, diff-in-diff, propensity matching, synthetic controls) to measure the impacts of business interventions.Strong programming skills in Python and SQL for large-scale data manipulation and analysis. Proficiency in data visualization tools (Tableau preferred).Strong communication and storytelling skills - ability to translate complex analytical findings into clear recommendations for both technical and non-technical audiences, including senior leadership.
Familiarity with cloud data platforms, particularly Snowflake and AWS.Master's degree in a quantitative field.Previous experience measuring the performance of automated customer interaction systems (e.g., IVR, virtual assistants, self-service channels). Experience in customer experience analytics, contact center operations, or customer interaction measurement.Hands-on experience leveraging LLMs/Generative AI to improve productivity and generate new insights.Previous experience in stakeholder management and large-scale cross-functional project work.Masters Degree preferredContributes to an inclusive environment through respecting each other's differences and having curiosity to learn.Demonstrates Apple's values

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976