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Full Time Spotify Data Science Jobs in Seattle, WA

The R2L Science & AI team is the centralized data science and AI function serving all R2L business ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder ...

The R2L Science & AI team is the centralized data science and AI function serving all R2L business ... The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US ...

Data Scientist

Seattle, WA · On-site

$113K - $141K/yr

Postgraduate school experience delivering world-class data science outcomes (2+ years preferred ... Monday through Friday 8:30 am to 5:30 pm, full-time minimum 40 hours per week, with scheduling ...

New

Ability to communicate clearly in writing and verbally Willingness to work in team and to received directions Must be able to meet and communicate with internal clients and data scientists Gather ...

... and data scientists Gather data requirements from Data Scientists, extract data and represent it presentable formats/reports Participate in meetings between team and client Be able to deal with ...

Senior, Data Scientist

Everett, WA · On-site

$108K - $216K/yr

This is a full-time, onsite role at our Seattle, WA office. * This position is not eligible for remote work. Role summary: As a Senior Data Scientist at Walmart, you will leverage advanced analytical ...

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Showing results 1-20

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 are the most commonly searched types of Spotify Data Science jobs in Seattle, WA? The most popular types of Spotify Data Science jobs in Seattle, WA are:

Trainee Consultant-Data Science

Applexus Technologies

Seattle, WA • On-site

Full-time

Re-posted 29 days ago


Job description

United States of America Seattle Full Time
Applexus is a global technology and business consulting firm founded in 2005 and headquartered in Seattle, with delivery centers across North America, Canada, the United Kingdom, and India. We help enterprises realize value from AI and advanced analytics by applying AI/ML solutions directly to core business processes. With strong foundations in SAP and enterprise platforms, Applexus delivers AI-driven transformation across SAP S/4HANA, data modernization, analytics, and cloud-native architectures. Our focus is on translating enterprise data into actionable intelligence that improves decision-making, operational efficiency, and business outcomes. Applexus approaches AI pragmatically designing solutions that are scalable, governed, and ready for real-world enterprise deployment.
Applexus AI Practice
The Applexus AI Practice is built on deep domain expertise and a strong understanding of enterprise systems, particularly SAP. We combine this knowledge with our proprietary AI accelerators to help organizations move from AI exploration to production-ready implementation. Our teams embed intelligent automation into the fabric of enterprise operations, enabling AI systems that operate within existing workflows rather than alongside them. These solutions are designed to integrate seamlessly with SAP landscapes while meeting enterprise standards for security, reliability, and performance. A key area of focus is Agentic AI-autonomous, goal-driven systems that can reason and act across enterprise processes. By pairing agentic architectures with SAP domain expertise, Applexus delivers AI solutions that are context-aware, governed, and built for scale.
About the Role:
We are looking for a motivated and inquisitive Trainee Consultant - Data Science to join our team. In this role, you will contribute to real-world machine learning and data science projects under the mentorship of experienced professionals. This opportunity is ideal for individuals who are eager to apply their academic knowledge, expand their technical skills, and gain hands-on experience in AI/ML technologies in a collaborative environment.
Skills & Qualifications:
  • Master's degree in data science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Proficiency in Python
  • Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistics, linear algebra, and core machine learning algorithms.
  • Strong analytical and problem-solving abilities.
  • Capable of working both independently and collaboratively in a team environment.
Key Responsibilities:
  • Assist in the design, development, and evaluation of machine learning models.
  • Perform data cleaning, preprocessing, and feature engineering tasks.
  • Contribute to projects involving predictive modeling, natural language processing (NLP), or computer vision.
  • Utilize Python and tools such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch in project execution.
  • Collaborate with team members to analyze outcomes and generate actionable insights.
  • Maintain thorough documentation of work, models, and findings.
What You'll Gain:
  • Practical, hands-on experience with leading AI/ML technologies.
  • Mentorship and guidance from experienced professionals in the field.
  • Opportunity to contribute to real-world projects with measurable impact.
  • Potential consideration for future full-time roles will be based on performance during the training tenure.
How to Apply
Interested candidates may apply through the career site by submitting their full resume.
  • Preference will be given to U.S. Citizens and Green Card holders.
  • Candidates on OPT with STEM extension eligibility are also welcome to apply and will be considered based on merit. If on OPT, please specify the validity period and indicate STEM eligibility.

Location: Seattle, USA Work Hours: Full Time (40 hours per week)
Join the Team