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Part Time Spotify Data Science Jobs (NOW HIRING)

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status.

UH Hilo, Hilo, HI Job Type: Part-Time Temporary Job Number: 2026-01086 Department: University of ... Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

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Part Time Spotify Data Science information

What is the difference between Part Time Spotify Data Science vs Part Time Spotify Data Engineering?

AspectPart Time Spotify Data SciencePart Time Spotify Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and analytics toolsDegree in Computer Science, Software Engineering, or related; experience with data pipelines and infrastructure
Work EnvironmentAnalyzing data, building models, interpreting insightsDeveloping and maintaining data pipelines, ensuring data flow and storage
Employer & Industry UsageUsed by Spotify for insights, recommendations, and user behavior analysisUsed by Spotify to manage data infrastructure and support data-driven applications

Part Time Spotify Data Science focuses on analyzing data and building models to generate insights, while Part Time Spotify Data Engineering emphasizes developing data pipelines and infrastructure. Both roles are essential in supporting Spotify's data-driven decisions but differ in their core responsibilities and skill sets.

How much do part time Spotify data scientists make?

Part-time Spotify data scientists typically earn between $30 and $60 per hour, depending on experience and location. Compensation may also include benefits such as flexible schedules and remote work options, with some roles offering project-based or hourly pay structures.

Is it possible to work part-time as a Spotify data scientist?

Part-time data science roles at Spotify are uncommon, as the position typically requires full-time commitment due to project scope and collaboration needs. However, some companies may offer flexible or contract-based data science opportunities, which could include part-time arrangements depending on the team's needs and the candidate's skills. Candidates interested in part-time work should inquire directly with Spotify or look for freelance or consulting opportunities in data science.
More about Part Time Spotify Data Science jobs

What cities are hiring for Part Time Spotify Data Science jobs?

Cities with the most Part Time Spotify Data Science job openings:

What are the most commonly searched types of Spotify Data Science jobs?

The most popular types of Spotify Data Science jobs are:

Infographic showing various Part Time Spotify Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Science Associate (Part-Time)

Arlington, VA • On-site

American Institutes for Research
Scientific Research and Development Services • 1 - 5K employees

$67K - $68K/yr

Full-time, Part-time

Posted 3 days ago

New


Job description

AIR's Tek Office is seeking a part-time Data Science Associate to join its forward-thinking and innovative team of data scientists and software engineers. Our team works on innovative projects that advance our organization and partners with clients to deliver innovative data collection, communication, learning, user experience, and data-driven solutions across web, mobile, analytics, and data management platforms. Data scientists at AIR use a blend of technology skills and theory to contribute to cutting-edge research design, implementation, and capacity building.
Engagements are typically project-based, part-time, and may vary in duration and hours depending on project needs.
This remote position requires flexibility to work from AIR's Crystal City office. This part-time position is expected to run from September 2026 through May 2027.
About AIR:
Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.
Responsibilities:
The key responsibilities for the position include, but are not limited to
  • Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools.
  • Develop visualizations, dashboards, and reports using open-source and/or business intelligence tools.
  • Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques.
  • Assist with computer modeling and simple to moderately complex forecasting using standard software packages.
  • Contribute to quantitative and/or qualitative analysis using standard techniques and methods. Work independently and collaboratively on moderately complex assignments under indirect supervision.
  • Create replicable, well-documented code in a shared environment.
  • Coordinate project support needs and requests from senior management and clients.
  • Develop systems to maintain and verify the accuracy of data for assigned projects.
  • Utilize external resources to supplement, organize, and contribute to tasks and projects.
  • Present and occasionally support or organize content for internal and external meetings.
  • Stay current on emerging technologies and provide recommendations for research applications.
  • Review and optimize code written by others.
  • Provide innovative and appropriate solutions to complex problems.
  • The scope of responsibilities may be modified as business needs evolve.

Qualifications:
Education, Knowledge, and Experience
  • Master's degree in computer science-related fields (e.g., Data Science, Data Engineering, Computer Science) and enrolled in a PhD program.
  • Experience with cloud platforms including AWS, GCP, and Azure; hands-on exposure to Azure OpenAI API is preferred, but not required.

Skills
  • Solution-oriented mindset with the ability to apply creative problem-solving techniques.
  • Strong communicator with the ability to engage effectively across all organizational levels and diverse backgrounds, including virtual environments, and to convey complex technical concepts clearly and accurately in plain language.
  • Collaborative team player, able to work effectively in cross-functional teams and contribute to shared goals in a virtual environment.
  • Flexible and adaptable, comfortable working in dynamic environments and adjusting to changing priorities.
  • Proficient with database technologies such as MySQL and MS SQL Server.
  • Familiarity with generative AI tools and applications for practical use cases.
  • Knowledge of Python web frameworks (e.g., Django, Flask) is advantageous.
  • Interest in exploring and developing innovative tools for data-driven applications.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.
American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.
ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.
Fraudulent Job Scams Warning & Disclaimer:
AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams at ftc.gov/scams.
AIR's Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.
Anticipated Hourly Rate Range
$45-$50 USD