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Director Spotify Data Science Jobs in Colorado (NOW HIRING)

Environmental Data Scientist

Boulder, CO · On-site

$75K - $105K/yr

Lynker Corporation is a leading provider of innovative solutions in weather and climate science ... Free centralized, self-directed Learning Management System to learn at your own pace * Personalized ...

Data Scientist

Lakewood, CO · On-site +1

$90K - $118K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... For more information on OPM's authorization of Direct Hire Authority, please visit: Relocation ...

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... Required QualificationsBachelor's or Master's degree in Data Science, Computer Science, Statistics ...

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science ...

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science ...

Research and apply knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions  * Develop Machine Learning (ML) models to detect and predict ...

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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 cities in Colorado are hiring for Director Spotify Data Science jobs? Cities in Colorado with the most Director Spotify Data Science job openings:

Environmental Data Scientist

Lynker Corporation

Boulder, CO • On-site

$75K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.
 
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.


Duties of the Environmental Data Scientist will include the following:

  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.

The Environmental Data Scientist selected should have the following:

  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:

  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) – we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.