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Intern Data Science Music Jobs in Edmonds, WA (NOW HIRING)

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Senior Data Scientist (Multiple Positions)

Seattle, WA · On-site

$196K - $277K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Mentor junior and intern Data Scientists. Qualifications Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Data Science, Business ...

Data Scientist (Multiple Positions)

Seattle, WA · On-site

$130 - $250/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Mentor junior and intern Data Scientists. Qualifications QualificationsMust have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology ...

Research Scientist, Amazon Music - DISCO

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Amazon Music is an immersive audio entertainment service that deepens connections between fans ... Stay Current with Industry Trends Keep abreast of the latest developments in data science, causal ...

Data Scientist (Multiple Positions)

Seattle, WA · On-site

$129K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Mentor junior and intern Data Scientists. Qualifications Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology ...

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Intern Data Science Music information

See Edmonds, WA salary details

$13

$24

$46

How much do intern data science music jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern data science music in Edmonds, WA is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $26.92 per hour, depending on experience, location, and employer.

What does an intern data science music do?

An Intern Data Science Music typically assists in analyzing and interpreting music-related data to help improve products or services in the music industry. Their tasks may include collecting and cleaning data, performing statistical analysis, building predictive models, and visualizing musical trends or user behavior. These interns often work with large datasets involving music streaming, song features, or listener preferences, and may collaborate with data scientists, engineers, and product teams. The role offers practical experience in both data science and the unique challenges of the music sector.

What types of projects can an intern data science music expect to work on, and how do these contribute to the team’s goals?

As an Intern Data Science Music, you can expect to work on projects such as analyzing streaming data to uncover listening trends, building recommendation algorithms, or assisting with the evaluation of audio feature extraction methods. These projects are typically collaborative, allowing you to work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or prototypes that directly impact how music is discovered and experienced on digital platforms. The work environment is often fast-paced and encourages creative problem-solving, which helps interns gain exposure to real-world data challenges while contributing meaningfully to the team's objectives.

What are the key skills and qualifications needed to thrive as an intern in data science for music, and why are they important?

To thrive as an Intern in Data Science for Music, you generally need a foundational understanding of statistics, machine learning, data analysis, and programming skills in languages like Python or R, often supported by coursework or a degree in computer science, statistics, or a related field. Experience with data visualization tools, basic knowledge of audio analysis libraries (such as librosa), and familiarity with SQL or cloud platforms are commonly required. Strong analytical thinking, creativity, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting meaningful patterns from music data, supporting innovation, and driving actionable outcomes in the music industry.

What is the difference between Intern Data Science Music vs Intern Data Analysis Music?

AspectIntern Data Science MusicIntern Data Analysis Music
Required CredentialsBasic programming, statistics, data science fundamentalsStatistics, Excel, basic programming
Work EnvironmentCollaborative teams, research projects, data modelingData review, reporting, visualization tasks
Industry UsageTech, entertainment, music streaming companiesMedia, marketing, music industry firms

Intern Data Science Music and Intern Data Analysis Music roles share foundational skills like statistics and basic programming. However, Data Science internships focus more on developing predictive models and machine learning, while Data Analysis roles emphasize data visualization and reporting. Both are common in the music industry, but Data Science roles often involve more complex data modeling and algorithm development.

What job categories do people searching Intern Data Science Music jobs in Edmonds, WA look for?

The top searched job categories for Intern Data Science Music jobs in Edmonds, WA are:

What cities near Edmonds, WA are hiring for Intern Data Science Music jobs?

Cities near Edmonds, WA with the most Intern Data Science Music job openings:

Robotics - Data Science Intern / Co-op - 2026

SupportFinity™

Seattle, WA • On-site

$108 - $160/hr

Other

Medical, Retirement

Posted 2 days ago

New


Job description

Robotics - Data Science Intern / Co-op - 2026

Amazon |

Amazon | Posted Mar 9

Full-time

Seattle

Entry (0-2 yrs)

Description

Are you passionate about data science? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world’s most beloved brands.

We’re looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across. For these positions, our Robotics teams at Amazon are looking for students with a specialization in one or more of the research areas such as robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more!

We’re looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various Robotics teams at Amazon with different robotics research focus, with internship positions available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall).

Amazon intern and co‑op roles follow the same internship structure. "Intern/Internship" wording refers to both interns and co‑ops. Amazon internships across all seasons are full‑time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work‑day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

The robotics internship join dates, length, location, and prospective team will be finalized at the time of any applicable job offers. In your application, you will be able to provide your preference of research interests, start dates, internship duration, and location. While your preference will be taken into consideration, we cannot guarantee that we can meet your selection based on several factors including but not limited to the internship availability and business needs of this role.

Key job responsibilities
  • Design and implement state-of-the-art solutions for never-before-solved problems.
  • Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight our customers.
  • Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
  • Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
About The Team

https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center

https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model

Basic Qualifications
  • Are 18 years of age or older
  • Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field
  • Must be eligible for and available for full‑time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co‑op
  • At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
  • At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
Preferred Qualifications
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Excellent communication skills with ability to explain complex technical concepts to non‑technical audience, while also efficiently interacting with deeply technical peers
  • Understanding of data engineering and business intelligence
  • Quantitative and qualitative data analysis experience with demonstrated impact to a business, a track record of creative problem solving, and the desire to create and build new processes
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience with Natural language processing (NLP) and working with large language models
  • Experience with causal inference modeling
  • Experience with A/B testing and data wrangling

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn't listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, MA, N.Reading - 108,300.00 - 160,000.00 USD annually

USA, MA, North Reading - 108,300.00 - 160,000.00 USD annually

USA, MA, WESTBORO - 108,300.00 - 160,000.00 USD annually

USA, MA, WESTBOROUGH - 108,300.00 - 160,000.00 USD annually

USA, MA, Westboro - 108,300.00 - 160,000.00 USD annually

USA, MA, Westborough - 108,300.00 - 160,000.00 USD annually

USA, WA, BELLEVUE - 108,300.00 - 160,000.00 USD annually

USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually

USA, WA, SEATTLE - 108,300.00 - 160,000.00 USD annually

USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually

Company

Amazon.com Services LLC

About the company

Amazon

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