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Director Spotify Data Science Jobs in Florida (NOW HIRING)

Role Overview We are seeking a talented Data Science & Analytics Lead to build and lead our ... Direct experience with crypto/blockchain analytics. * Startup experience is highly preferred.

Data Scientist

Miami, FL · On-site

$130 - $150/hr

Why We\'re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ... Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in ...

... Director, Operations Data Science & AI and work with senior data scientists and operational stakeholders to develop optimization models, predictive models, and automated workflows. Your work will ...

New

Data Science & Artificial Intelligence * Lead the development, validation, deployment, and ... Direct ETL/ELT processes, data integration, data warehousing, and modern data lake/lakehouse ...

Python Expertise: Advanced proficiency in Python with extensive experience in data science ... com Direct: 4705239688 Led by 25+ Years of Industry Experience E-Verify ® is a registered ...

The Manager, Advanced Analytics will report to the Director, Advanced Analytics and will lead ... Lead development of Advanced Data science (DS) and Machine Learning (ML) models across Customer ...

Showing results 21-40

Director Spotify Data Science information

What does a director of data science do at Spotify?

A Director of Data Science at Spotify leads teams of data scientists and analysts to drive business strategy through data-driven insights. They oversee the development of analytical models and tools that power features like music recommendations and user personalization. This role involves collaborating with product, engineering, and business leaders to inform key decisions using data. Additionally, Directors help set the vision for data science at Spotify, ensuring the team stays innovative and impactful in a fast-changing industry.

What is the difference between Director Spotify Data Science vs Data Scientist Spotify?

AspectDirector Spotify Data ScienceData Scientist Spotify
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related field; extensive experienceBachelor's or Master's in Data Science, Computer Science, or related field; some experience
Work EnvironmentLeadership role overseeing teams, strategic planning, cross-department collaborationHands-on data analysis, model development, reporting, and insights generation
Employer & Industry UsageCommon in tech and media companies like Spotify, focusing on data-driven decision makingEntry to mid-level role in similar environments, supporting data science initiatives

The main difference is that the Director Spotify Data Science leads teams and sets strategic goals, while the Data Scientist Spotify focuses on executing data analysis and modeling tasks. The director role requires more experience and leadership skills, whereas the data scientist role is more technical and execution-focused.

What are some of the primary challenges a director of data science at Spotify might face when leading cross-functional teams?

A Director of Data Science at Spotify often navigates the complexities of aligning diverse technical and business stakeholders toward shared objectives. Key challenges include translating business goals into actionable data strategies, ensuring data integrity at scale, and fostering collaboration between data scientists, engineers, and product managers. Managing and mentoring a large, multidisciplinary team requires balancing hands-on technical leadership with strategic vision. Additionally, adapting to rapidly changing music industry trends and user behaviors makes it essential to prioritize projects that deliver the most value.

What are the key skills and qualifications needed to thrive as a director of data science at Spotify?

To thrive as a Director of Data Science at Spotify, you need deep expertise in data analytics, machine learning, and statistics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Mastery of tools such as Python, SQL, cloud platforms, and data visualization systems is essential, along with familiarity with big data ecosystems. Exceptional communication, strategic vision, and team leadership skills help drive cross-functional collaboration and innovation. These skills are crucial for developing impactful data-driven products, guiding high-performing teams, and aligning analytics initiatives with Spotify's business goals.
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:
What cities in Florida are hiring for Director Spotify Data Science jobs? Cities in Florida with the most Director Spotify Data Science job openings:

Director, Data Intelligence

Kforce Technology Staffing

West Palm Beach, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Director, Data Intelligence in West Palm Beach, FL.
Summary:
The Director of Data Intelligence will lead the enterprise Data Intelligence function within the Technology organization, bringing together Analytics Engineering, Business Intelligence, Reporting, Dashboard Development, Data Science, Predictive Modeling, and AI-enabled Analytics into a unified team focused on transforming trusted company data into actionable insights and scalable analytics products.
This leader will strengthen the organization's ability to leverage data to improve business performance, decision-making, operational execution, customer experience, revenue management, marketing effectiveness, investment analysis, and enterprise planning. The Director will be responsible for ensuring alignment across data preparation, metric definition, analytical modeling, reporting, and business insight generation while establishing a scalable and high-performing analytics ecosystem.
Key Responsibilities:
* Establish and execute the vision, operating model, roadmap, and delivery standards for the Data Intelligence organization, aligned with Technology and business priorities
* Partner with executive leadership and key business stakeholders to identify high-value analytics opportunities and translate business needs into actionable data products
* Develop and maintain clear communication with leadership regarding roadmap progress, analytical findings, risks, dependencies, recommendations, and business impacts
* Foster a culture of analytical rigor, accountability, continuous improvement, documentation, knowledge sharing, and measurable business outcomes
* Oversee the development of reusable data assets, semantic models, curated datasets, dashboards, reports, analytical models, and self-service analytics capabilities
* Drive consistency in business metrics, reporting definitions, analytical standards, and executive performance measurement
REQUIREMENTS:
* Bachelor's degree required
* 5+ years of progressive experience in: Analytics; Business Intelligence; Data Science; Analytics Engineering; Data Products; Data Strategy; Related Technology disciplines
* 5+ years of leadership experience managing analytics, BI, reporting, data science, data product, or related technical teams
Technical & Functional Expertise:
* Demonstrated success integrating Business Intelligence, Analytics Engineering, and Data Science into a cohesive delivery model
* Strong understanding of: Data modeling; Metric definitions; Semantic layers; Reporting platforms; Dashboard design principles; Self-service analytics enablement
* Experience leading: Reporting modernization initiatives; Dashboard delivery programs; Report rationalization efforts; Migrations to scalable BI platforms (e.g., Power BI)
* Experience partnering with executive leadership and cross-functional stakeholders to prioritize investments and communicate analytical outcomes
* Working knowledge of: Data Science methodologies; Predictive analytics; Machine learning; AI-enabled analytics; Model evaluation techniques
* Strong understanding of data governance concepts, including: Data ownership; Stewardship; Data quality; Lineage; Accountability; Business adoption
* Proficiency with: SQL; Data visualization platforms; Cloud and enterprise data platforms; Modern analytics development practices; Data lifecycle management concepts
* Ability to translate business needs into: Analytical roadmaps; Data products; Dashboards; Insights and recommendations that drive measurable results
Leadership Competencies:
* Outstanding communication and stakeholder management skills
* Strong team leadership, coaching, and talent development capabilities
* Demonstrated ability to prioritize effectively and lead organizational change
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.