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Part Time Spotify Data Science Jobs (NOW HIRING)

Data Scientist

Alexandria, VA · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Fayetteville, NC · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The data science team at FocusKPI builds models and machine learning algorithms that power all our ... Remote - anywhere in the US Duration: Full-time/Part-time position Pay Range: $90k/annum ...

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Mclean, VA · On-site

$99K - $225K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Mclean, VA · On-site

$77K - $176K/yr

On our team, you'll use your leadership skills and data science expertise to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Part Time Spotify Data Science information

How hard is it to get hired at Spotify?

Getting hired as a data scientist at Spotify typically requires a strong background in data analysis, machine learning, and programming skills in languages like Python or R. Candidates often go through multiple interview rounds assessing technical expertise, problem-solving ability, and cultural fit, making the process competitive but achievable with relevant experience and preparation.

Can you work part-time as a data scientist?

Part-time data science roles, including positions at companies like Spotify, are available and typically involve fewer hours than full-time roles. These positions often require skills in programming, statistics, and data analysis, and may be suitable for individuals seeking flexible schedules or supplementary income.

How much do Spotify data scientists make?

Spotify data scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in data analysis, machine learning, and programming tools like Python or SQL.

Is 30 too late for data science?

For a Part Time Spotify Data Science role, age is generally not a barrier; many data scientists start or transition into the field later in life. Success depends on relevant skills, such as programming, statistics, and experience with tools like Python or SQL, rather than age. Continuous learning and building a strong portfolio can help candidates of any age qualify for such positions.

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.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

Part-time

Re-posted 10 days ago


Saint Louis University rating

8.9

Company rating: 8.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

32nd of 555 rated colleges and universities


Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine

Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine

Position Summary

The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professorpositions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.

Primary Responsibilities

Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:

  • Privacy, Ethics, Regulation & Policy

  • Introduction to Artificial Intelligence

  • Predictive Modeling and Machine Learning

  • Image Processing and Deep Learning

  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models

  • Reinforcement Learning for Clinical Decision Making

  • Telehealth & Telemedicine

  • AI for Precision Medicine & Genomics & Diagnostics

  • Research in Medicine

Additional responsibilities include:

  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications

Required:

  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.

  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.

  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).

  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:

  • Experience teaching graduate courses in AI, data science, or health informatics.

  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.

  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.

  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details

  • Type:Adjunct, non-tenure track

  • Rank:Assistant or Associate Professor (commensurate with qualifications)

  • Location:Saint Louis University School of Medicine (in-person, hybrid, or online options available)

  • Start Date:Ongoing recruitment for upcoming academic terms

Application Instructions

Interested applicants should submit:

  • A cover letter outlining teaching interests and relevant experience

  • Curriculum vitae (CV)

  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.

Function

Faculty - Adjunct

Scheduled Weekly Hours:

20

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.


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