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Internship Spotify Data Science Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... Science, or a related field * 1+ years of experience in data analytics, business intelligence, data ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Internship Opportunities

Orlando, FL · On-site +1

$14 - $18.75/hr

Interns: Build Your Future with Us Are you ready to make an impact? Even if you don't see the ... Data Scientists amp; Analysts: Those who turn data into actionable insights. * Software Developers:

Job Summary: The Performance Coach Sports Science Internship is a hybrid, immersive program ... Passionate about athlete development and data-driven performance. Internship Logistics: If selected ...

Sports Science Intern - Fall 2026

Gulf Breeze, FL · On-site

$13.75 - $18.25/hr

Job Summary: The Performance Coach Sports Science Internship is a hybrid, immersive program ... Passionate about athlete development and data-driven performance. Internship Logistics: If selected ...

Showing results 21-40

Internship Spotify Data Science information

What is the difference between Internship Spotify Data Science vs Data Analyst Intern at Spotify?

AspectInternship Spotify Data ScienceData Analyst Intern at Spotify
Required CredentialsCurrently pursuing or recent graduate in Data Science, Statistics, or related fieldsSimilar educational background, often with focus on analytics or business intelligence
Work EnvironmentHands-on data modeling, machine learning, and algorithm development within a tech companyData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech industry, music streaming, data-driven product developmentMusic 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.

How to become a data scientist at Spotify?

To become a data scientist at Spotify, candidates typically need a strong background in statistics, programming skills in languages like Python or R, and experience with data analysis, machine learning, and data visualization. A relevant degree such as computer science, data science, or a related field is often required, along with experience working with large datasets and analytical tools. Building a portfolio of projects and gaining experience through internships or related roles can improve chances of securing a position.

Does Spotify hire interns?

Yes, Spotify offers internship programs in data science and related fields. These internships typically require relevant skills in data analysis, programming, and machine learning, and are available during specific periods such as summer or semester breaks. Internships at Spotify provide hands-on experience working with large datasets and advanced analytics tools.
What are the most commonly searched types of Spotify Data Science jobs in Florida? The most popular types of Spotify Data Science jobs in Florida are:
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What cities in Florida are hiring for Internship Spotify Data Science jobs? Cities in Florida with the most Internship Spotify Data Science job openings:

Sr. Data Analyst

Versant Media

Orlando, FL

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Company Description

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Job Description

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the broader Data Product and Technology team. The position is responsible for supporting the ongoing operations, enhancement, and maintenance of data products.

In this role, the senior data analyst will contribute to expanding the organization’s analytical and AI capabilities within a fast-paced, innovative environment, playing a key part in developing scalable data products that deliver measurable value to both internal stakeholders and external business partners.

Responsibilities:

  • Design, develop, and implement advanced algorithms and automated analytical pipelines, including clustering (e.g k-means, hierarchical clustering, DBSCAN, HDBSCAN), supervised learning (e.g. linear and logistic regression, decision trees, random forests, gradient boosting, XGBoost), time-series forecasting (e.g. ARIMA, Prophet, LSTM), optimization techniques, and probabilistic models to analyze large, complex, and unstructured datasets.
  • Develop, refine, validate and deploy scalable advanced analytical and statistical models to generate actionable insights for key stakeholders
  • Partner closely with finance, product, pricing, marketing, and data services teams to translate business questions into analytical solutions, productionize models using MLOps best practices, and support the ongoing monitoring, maintenance, and optimization of data products and models.
  • Cleanse, integrate, and validate data from multiple internal and external sources, applying data quality controls, feature engineering techniques, and scalable transformation processes to ensure accuracy, reliability, and analytical readiness.
  • Evaluate and monitor model performance using appropriate metrics, diagnose anomalies and model drift, conduct A/B testing and experimentation, and define, monitor, and optimize KPIs supporting revenue, pricing, and growth initiatives.
  • Leverage modern AI and Generative AI technologies, including large language models (LLMs) and AI-assisted analytics tools, to improve analytical workflows, automate insight generation, and enhance decision-support capabilities.
  • Interpret and clearly communicate analytical findings, model assumptions, and business implications to senior leadership, cross-functional teams, and external clients through concise presentations, visualizations, and technical documentation.
Qualifications
  • Bachelor’s degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field
  • 1+ years of experience in data analytics, business intelligence, data science, or a related analytical role
  • Advanced skills in SQL, Python and/or R
  • Familiarity in visualization tools such as Tableau, Looker, etc.
  • Familiarity in using GitHub for version control, collaborative development, code reviews, CI/CD workflows, and management of analytics and machine learning codebases.

Desired Characteristics:

  • Experience in pricing and/or marketing analytics is preferred
  • Familiarity in Media, News and/or Entertainment content is preferred
  • Prior internship or work experience is preferred
  • Strong intellectual curiosity paired with excellent problem-solving and quantitative skills, including the ability to decompose complex problems, identify root causes, and recommend effective solutions.

Additional Requirements:

  • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Must be willing to work in the Orlando, FL office.  Travel may be required for this position for company or department meetings.
  • This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com.

VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.

VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.