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Entry Level Spotify Data Science Jobs in Austin, TX

Podium Education

Data Analytics Instructor

Austin, TX · On-site +1

$4.0K/wk

... Spotify, Netflix, Shopify, Uber, Google, and Airbnb. Our flagship program is the Global Career ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

Podium Education

Data Analytics Instructor

Austin, TX · Remote

$4.0K/wk

... Spotify, Netflix, Shopify, Uber, Google, and Airbnb. Our flagship program is the Global Career ... Education or experience in Data Analytics, Data Science, Statistics, or a related field.

Four Hands

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics ...

IBM

Associate Data Engineer 2027

Austin, TX · On-site

$113K - $136K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Preferred Bachelor's degree in a related field (Computer Science, Data Science, Statistics, Math ...

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Entry Level Spotify Data Science information

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How much do entry level spotify data science jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for entry level spotify data science in Austin, TX is $32.64, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.44 per hour, depending on experience, location, and employer.

How much do entry level Spotify data science professionals make?

Entry-level data science professionals at Spotify typically earn between $70,000 and $90,000 annually, depending on location and experience. These roles often require proficiency in programming languages like Python or R and familiarity with machine learning tools and data analysis techniques.

How to become an entry level Spotify data science?

To become an entry-level Spotify data scientist, candidates typically need a bachelor's degree in a quantitative field such as computer science, statistics, or mathematics. Gaining experience with programming languages like Python or R, understanding machine learning concepts, and working with large datasets are essential. Familiarity with data analysis tools, SQL, and a strong foundation in statistics can improve job prospects.

What are the most commonly searched types of Spotify Data Science jobs in Austin, TX?

The most popular types of Spotify Data Science jobs in Austin, TX are:

What are popular job titles related to Entry Level Spotify Data Science jobs in Austin, TX?

For Entry Level Spotify Data Science jobs in Austin, TX, the most frequently searched job titles are:

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Cities near Austin, TX with the most Entry Level Spotify Data Science job openings:

Entry Level Spotify Data Science jobs near you

Applied Data Solutions Program, Software Engineering (Full-Time Opportunities)

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 11 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that's constantly learning and having fun while solving tough business problems? We'd love to talk to you if you do!
Join the Applied Data Solutions Program (ADSP) and make a positive impact on one of the most influential technology leaders in the industry. You'll be tasked with building sophisticated, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science. You will work with teams across Apple, using data analysis and predictive modeling techniques, to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers. The enormous scale and complexity of the problems and our data present exciting opportunities for pushing the limits of existing data science methods.
Description
The ADSP provides entry-level talent with practical work experience through project-based rotations on various teams within Finance. Upon completion, ADSPs move into non-rotating technical roles within Apple. We have a variety of opportunities for software engineers, data scientists, and machine learning engineers. Responsibilities may include:
• Support our business partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency.
• Work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of scalable, easy-to-use systems and tools.
• Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc.
• Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions.
• Develop self-service tools and automation to improve data engineering efficiency and self-service analytics.
• Create reporting and monitor decisioning quality to maintain operational and business metric health.
• Translate ambiguous business problems into technical solutions by working collaboratively with business partners.
• Develop, deploy, and operationally support machine-learning models that take real-time and forensic action against a variety of threats to Apple's ecosystem.
• Apply data science to core finance processes to automate and elevate capability, forecasting, accruals, accounting entries prep, IA process, risk mitigation, etc.
Minimum Qualifications
Undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning or related field.
Proficient in at least one programming language (Python/Scala/Java preferred).
Practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions.
Practical experience (acquired through work, independent projects, or academic research) with implementing data science-related applications in a programming language such as Python, Scala, or Java.
Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions.
Previous Apple FDP or ADSP internship is required.
Preferred Qualifications
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
Experience with ML platform provisioning and optimization (e.g., Dataiku, Ray, GPU-based training environments).
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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