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Full Time Spotify Data Science Jobs (NOW HIRING)

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Data Scientist

$135K - $145K/yr

TL;DR Fast-growing ad-measurement company looking for an individual to work with our data science ... Spotify, and The New York Times-continue to demonstrate AU's value across the media lifecycle.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Fast-growing ad-measurement company looking for an individual to work with our data science team to ... Spotify, and The New York Times--continue to demonstrate AU's value across the media lifecycle.

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

TL;DR Fast-growing ad-measurement company looking for an individual to work with our data science ... Spotify, and The New York Times--continue to demonstrate AU's value across the media lifecycle.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

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Full Time Spotify Data Science information

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

AspectFull Time Spotify Data ScienceFull Time Spotify Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related fields; experience with machine learning and analyticsDegree in Computer Science, Software Engineering, or related fields; experience with data pipelines and infrastructure
Work EnvironmentAnalyzing data, building models, deriving insightsDesigning, building, and maintaining data pipelines and infrastructure
Employer & Industry UsageUsed across Spotify for product insights, personalization, and recommendationsUsed for data infrastructure, ensuring data flow and availability for analytics

Full Time Spotify Data Science focuses on analyzing data and developing models to improve user experience, while Full Time Spotify Data Engineering centers on building the systems that collect and process data. Both roles are essential, but they differ in skills and daily tasks.

What cities are hiring for Full Time Spotify Data Science jobs? Cities with the most Full 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:
What states have the most Full Time Spotify Data Science jobs? States with the most job openings for Full Time Spotify Data Science jobs include:
Data Science Consultant

Data Science Consultant

DataAnnotation

Virginia, MN • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.That's where you come in.As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus.To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.Flexible schedule: choose which projects you take on and when you work.Competitive pay: projects are paid hourly, starting at $40+ USD per hour.Impact: help shape the future of AI systems built to reason about data and analytics.ResponsibilitiesEvaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.Write clear technical explanations and well-documented analytical code.Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.Qualifications2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.Some coding experience required, with comfort writing and reviewing analytical code end-to-end.Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).Fluency in English (native or bilingual level) with strong writing skills.A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).Note: Payment is made via PayPal. We will never ask for any money from you.

This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.datascienceJ-18808-Ljbffr