Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...
Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...
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This internship supports the Data Science team and provides hands-on experience in data science, data engineering, and statistical modeling within clinical and biomedical research settings. Interns ...
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This internship supports the Data Science team and provides hands-on experience in data science, data engineering, and statistical modeling within clinical and biomedical research settings. Interns ...
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This internship supports the Data Science team and provides hands-on experience in data science, data engineering, and statistical modeling within clinical and biomedical research settings. Interns ...
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From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by ... This team collaborates closely with product, design, user research, and data science to build ...
From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by ... This team collaborates closely with product, design, user research, and data science to build ...
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... Spotify, Blackstone and KKR. What you will do Join us as Data Scientist Intern to bring order to ... the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big ...
Internship Spotify Data Science information
See salary details
$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
$12
$22
$42
How much do internship spotify data science jobs pay per hour?
How much do Spotify interns get paid?
How much do Spotify data scientists make?
What is the difference between Internship Spotify Data Science vs Data Analyst Intern at Spotify?
| Aspect | Internship Spotify Data Science | Data Analyst Intern at Spotify |
|---|---|---|
| Required Credentials | Currently pursuing or recent graduate in Data Science, Statistics, or related fields | Similar educational background, often with focus on analytics or business intelligence |
| Work Environment | Hands-on data modeling, machine learning, and algorithm development within a tech company | Data interpretation, reporting, and visualization to support business decisions |
| Employer & Industry Usage | Tech industry, music streaming, data-driven product development | Music streaming, marketing, and user engagement analysis |
Internship Spotify Data Science focuses on developing models and algorithms, while Data Analyst Intern roles emphasize analyzing and visualizing data to inform business strategies. Both roles require similar educational backgrounds and are integral to Spotify's data-driven approach, but they differ in technical depth and project focus.
Which company is best for a data science internship?
How to become a data scientist at Spotify?

Job description
Data Science Internship - Fall 2026
Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.
We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.
Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.
Open Team
Search & Recommendation
- Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
- Develop rich user and item representations through embeddings, sequence models, and graph-based methods
- Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
- Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
- Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
- Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation
What You'll Do
- Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
- Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
- Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs
What We're Looking For
All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:
Search & Recommendation Systems
- Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
- Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
- Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
- Experience working with large-scale or production datasets
Pay rate:
San Francisco: the pay rate for this role is $75 USD per hour.
Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
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