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Audio Data Scientist Jobs (NOW HIRING)

Jobtailor

Data Engineering Intern

Niles, IL · On-site

Engineer software modules that provide data mechanisms to support research and prototyping of forward-leaning use cases in audio machine learning algorithms Work closely with the data science and ...

DevSelect

Principal Data Scientist

Redmond, WA · On-site

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various ... video, audio, text and time series etc... Qualifications: * PhD degree in Computer Science ...

Fantom Corp

Data Scientist

Chantilly, VA · On-site

We are seeking a Data Scientist to support complex business and mission analytics through data ... Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation ...

Fantom Corporation

Data Scientist

Chantilly, VA

We are seeking a Data Scientist to support complex business and mission analytics through data ... Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site

$100K - $150K/yr

We're looking for a Senior Data Scientist to help customers integrate and develop recommendation ... Experiment with pre-trained image, language, audio and video embedding models that understand our ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're looking for a Senior Data Scientist to help customers integrate and develop recommendation ... Experiment with pre-trained image, language, audio and video embedding models that understand our ...

David AI

Research Product Manager

San Francisco, CA · On-site

$190K - $260K/yr

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... Undergraduate degree in Computer Science, Engineering, Data Science, or a related field. * 4+ years ...

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Audio Data Scientist information

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$122.7K

$196.5K

How much do audio data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for audio data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an audio data scientist?

An Audio Data Scientist is a professional who specializes in analyzing and interpreting audio data using statistical, machine learning, and signal processing techniques. They work with sounds, speech, and music to extract meaningful information, develop models, and create applications such as speech recognition, audio classification, and sound event detection. Their work often involves cleaning and preprocessing audio signals, feature extraction, and building predictive models to solve real-world problems related to audio data.

How does an audio data scientist typically collaborate with engineers and product teams on audio-related projects?

Audio Data Scientists frequently work alongside software engineers, product managers, and UX designers to develop and refine machine learning models for audio analysis, such as speech recognition or sound classification. They are often responsible for translating raw audio data into actionable insights, sharing findings, and integrating models into existing products. Regular cross-functional meetings and code reviews are common, ensuring that the models meet product requirements and perform accurately in real-world environments. Collaboration is essential, as feedback from other teams helps improve both the technical and user experience aspects of audio features.

What are the key skills and qualifications needed to thrive as an audio data scientist, and why are they important?

To thrive as an Audio Data Scientist, you need a strong background in machine learning, digital signal processing, and statistics, typically supported by a degree in computer science, engineering, or a related field. Proficiency with programming languages like Python or MATLAB, experience with audio analysis libraries (such as librosa or PyDub), and familiarity with machine learning frameworks (like TensorFlow or PyTorch) are essential. Strong analytical thinking, creativity, and effective communication skills help distinguish top performers in this role. These skills ensure the accurate extraction, modeling, and interpretation of complex audio data to drive innovation and actionable insights.

What is the difference between Audio Data Scientist vs Audio Engineer?

AspectAudio Data ScientistAudio Engineer
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning and statisticsDegree or certification in Audio Engineering, Sound Design, or related field; technical skills in audio equipment and software
Work EnvironmentData analysis labs, research teams, tech companies, often involving programming and data modelingRecording studios, live event venues, broadcasting stations, focusing on sound recording and mixing
Industry UsageTech companies, AI development, research institutionsMusic production, broadcasting, live sound, film post-production

While both roles involve audio, an Audio Data Scientist focuses on analyzing audio data using data science techniques, whereas an Audio Engineer specializes in recording, mixing, and producing sound. The roles differ in skills, tools, and work environments but may overlap in audio technology applications.

What are popular job titles related to Audio Data Scientist jobs?

For Audio Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Audio Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

ME00579-Data Scientist 3

Fort George G Meade, MD • On-site

Momentum Engineering, Inc.
See more jobs at Momentum Engineering, Inc.external

$135K - $180K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 13 days ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a Data Scientist to support a Natural Language Processing (NLP) project focused on developing automated solutions to process, analyze, and annotate language data derived from both spoken and written sources
  • This role involves building and improving models that tokenize language data, assign linguistic features such as parts of speech, and evaluate model performance against human-generated annotations to ensure accuracy and reliability

Primary Responsibilities
  • Develop and implement NLP models and algorithms to tokenize and process spoken and written language data
  • Design and build automated annotation solutions for labeling language data, including parts-of-speech tagging and related linguistic features
  • Evaluate and improve model performance by comparing outputs against human-generated annotations and refining algorithms accordingly
  • Analyze large volumes of structured and unstructured language data to identify patterns and improve model accuracy
  • Support development of training datasets and annotation frameworks to enhance model performance
  • Collaborate with cross-functional teams to align NLP solutions with mission and data requirements
  • Perform data preprocessing, cleansing, and transformation to prepare datasets for modeling
  • Document methodologies, model performance metrics, and findings to support repeatability and continuous improvement
  • Stay current with advancements in NLP, machine learning, and language modeling techniques

Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master's Degree with 6 years of relevant experience, Bachelor's Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing (NLP) techniques and tools
  • Proficiency in Python and common NLP/data science libraries (e.g., NLTK, spaCy, scikit-learn)
  • Experience with text and speech data processing, including tokenization and annotation
  • Ability to evaluate model performance using quantitative metrics and comparison methods
  • Strong analytical and problem-solving skills

Desired Qualifications
  • Experience working with annotated language datasets and linguistic frameworks
  • Familiarity with machine learning or deep learning models for NLP
  • Experience with speech processing or audio data analysis
  • Knowledge of model evaluation techniques and performance benchmarking
  • Experience working in mission-driven or government environments

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
135,000 - 180,000 USD per year (Ft. Meade MD)

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