Acoustic Data Scientist information
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$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
How much do acoustic data scientist jobs pay per year?
As of Sep 9, 2026, the average yearly pay for acoustic data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
An Acoustic Data Scientist is a professional who analyzes and interprets sound-related data to extract meaningful insights. They use statistical methods, machine learning, and signal processing techniques to work with audio recordings, environmental sounds, or speech data. Their work can involve developing models to recognize patterns, detect anomalies, or classify different types of sounds, often for applications in industries like environmental monitoring, healthcare, automotive, or consumer electronics. Acoustic Data Scientists typically have a background in data science, acoustics, or a related technical field.
To thrive as an Acoustic Data Scientist, you need a solid background in signal processing, machine learning, and statistical analysis, typically supported by a degree in fields like electrical engineering, physics, or computer science. Experience with programming languages such as Python or MATLAB, and familiarity with audio analysis libraries and machine learning frameworks are essential technical requirements. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and translate complex data into actionable insights. These skills and qualities are crucial for developing accurate acoustic models and driving innovative solutions in fields like environmental monitoring, speech recognition, or audio forensics.
Acoustic Data Scientists often work closely with engineers, product managers, and domain specialists to develop and refine audio analysis models. They contribute their expertise by interpreting complex sound data, designing experiments, and providing actionable insights to improve audio technologies. Regular meetings and collaborative projects are common, requiring clear communication of technical findings to both technical and non-technical stakeholders. This collaborative environment fosters innovation and ensures that data-driven solutions align with broader organizational goals.
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