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Sentient Science Jobs (NOW HIRING)

Sr UX Designer

San Francisco, CA · On-site

$249K/yr

Lead discussions on sentient design, interaction features, and information architecture. Influence ... Bachelor's degree in Computer Science, Graphic Design, Human Factors, Cognitive Psychology, or ...

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

... way to provide sentient and stance analysis, trend forecasting, and instant crisis alerts ... You Have: * 3+ years of experience with data analysis, data science, and data visualization ...

Sentient Science information

See salary details

$24.5K

$48.4K

$79K

How much do sentient science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for sentient science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Materials Scientist, and why are they important?

To thrive as a Materials Scientist, you need a strong background in materials engineering, chemistry, or physics, typically supported by at least a bachelor's or master's degree in a related field. Experience with laboratory instrumentation, simulation software (such as MATLAB or ANSYS), and familiarity with industry-specific certifications are highly valuable. Analytical thinking, problem-solving, and effective collaboration are essential soft skills for success in this role. These skills and qualifications enable innovation, accurate analysis, and the development of new materials or processes that drive technological advancement.

What is the highest paid science job?

In the science field, roles such as petroleum engineers, astrophysicists, and data scientists tend to have the highest salaries. Senior positions requiring advanced degrees, specialized skills, and experience often command six-figure incomes, especially in industries like technology, aerospace, and energy.

Which 3 jobs will survive AI?

Sentient Science professionals involved in research, data analysis, and engineering are likely to continue thriving as these roles require complex problem-solving, creativity, and domain expertise that are difficult for AI to replicate fully. Jobs that involve critical thinking, strategic decision-making, and hands-on technical skills tend to be more resilient to automation. Continuous learning and adapting to new tools and technologies also enhance job security in these fields.

What types of interdisciplinary teams do professionals at Sentient Science typically collaborate with, and how does this collaboration impact project outcomes?

At Sentient Science, professionals often work closely with interdisciplinary teams that include data scientists, mechanical engineers, software developers, and reliability analysts. This collaborative environment promotes the integration of advanced analytics, engineering expertise, and industry-specific knowledge to solve complex asset management and predictive maintenance challenges. Regular cross-functional meetings and shared project goals help ensure that diverse perspectives are incorporated, leading to more robust and innovative solutions for clients. For job seekers, being comfortable working in a multidisciplinary setting is essential to success and career growth within the company.

What is Sentient Science?

Sentient Science is a technology company that specializes in digital twin solutions and predictive analytics for industrial assets, particularly in the wind energy sector. The company uses advanced materials science, data analytics, and machine learning to predict the life and performance of equipment such as wind turbines. Their platform helps operators optimize maintenance schedules, reduce downtime, and extend the lifespan of machinery by forecasting potential failures before they occur. Through these predictive insights, Sentient Science aims to improve asset reliability and lower operational costs for its clients.

What does sentient science do?

Sentient Science is a company that develops digital twin technology and predictive analytics for industrial equipment, helping optimize maintenance and improve asset performance. Jobs in this field often require skills in data analysis, engineering, and software tools related to simulation and machine learning.

What is the difference between Sentient Science vs Data Scientist?

AspectSentient ScienceData Scientist
Required CredentialsEngineering or technical degrees, industry-specific certificationsDegree in Computer Science, Statistics, or related fields; often with certifications in data analysis
Work EnvironmentIndustrial, engineering, or manufacturing settings focusing on materials and asset managementOffice or remote, working with data analysis, modeling, and visualization
Industry UsageHeavy in engineering, manufacturing, and asset management sectorsBroad across tech, finance, healthcare, and more
Common Search/ComparisonYesYes

Sentient Science primarily focuses on engineering, materials, and asset management within industrial sectors, requiring technical degrees and industry-specific certifications. Data Scientists work across various industries analyzing data, often with backgrounds in computer science or statistics. While both roles involve data and technical skills, Sentient Science emphasizes engineering applications, whereas Data Scientists focus on data analysis and modeling across diverse fields.

More about Sentient Science jobs
Infographic showing various Sentient Science job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.