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Remote Data Science Music Jobs in Colorado (NOW HIRING)

Tetra Tech

Data Librarian

Colorado Springs, CO · On-site +1

This position is remote and must be a US citizen due to the projects we work on. Why Tetra Tech: At ... with Science to solve the world's most complex challenges. Our industry-leading experts in ...

Osv_edf

Senior Scientist, Oceans Science

Boulder, CO · On-site +1

$94K - $129K/yr

Location Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC. Duration ... Analyze, interpret, and communicate scientific data to state, federal, and international ...

Tasman Inc

Data Quality & Systems Analyst

Wheat Ridge, CO · Remote

$88K - $95K/yr

Primarily Remote (occasional travel for meetings, training, and business needs) Travel: Minimal ... Bachelor's degree in Information Systems, Data Analytics, Business Analytics, Computer Science, or ...

Janus Henderson Investors

Data Engineer

Denver, CO · On-site +1

$169K/yr

Remote work permitted 2 days a week. Requirements: Bachelor's degree in Information Systems ... Computer Science, Electronics Engineering, or a related field, plus 7 years of progressively ...

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All JobsData Science Music JobsRemote Data Science Music JobsRemote Data Science Music Jobs in Colorado

Remote Data Science Music information

How does a remote data science role in the music industry typically collaborate with other departments, such as marketing or A&R?

In a remote data science music role, collaboration with teams like marketing, product, and A&R (Artists & Repertoire) is often achieved through regular virtual meetings, shared analytics dashboards, and cross-functional project management tools. Data scientists may analyze listener trends, predict song success, or segment audiences, providing actionable insights to guide marketing campaigns and artist development strategies. Strong communication skills and proactive coordination are essential, as data-driven recommendations directly inform creative and business decisions within the company.

What are the key skills and qualifications needed to thrive as a Remote Data Science Music professional, and why are they important?

To thrive as a Remote Data Science Music professional, you need strong skills in statistics, machine learning, and music theory, often supported by a degree in data science, computer science, or music technology. Familiarity with programming languages like Python or R, experience with audio analysis tools, and proficiency in music-specific data platforms are typically required. Creativity, problem-solving, and effective remote communication are crucial soft skills for success in collaborative and innovative projects. These skills enable the effective analysis of music data, drive innovation in music technology, and foster productive teamwork in a remote environment.

What is the difference between Remote Data Science Music vs Remote Data Analysis?

AspectRemote Data Science MusicRemote Data Analysis
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of music dataBachelor's in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, often in tech or entertainment industries, with a focus on music dataBusiness or research settings analyzing various data types, often in finance, marketing, or healthcare
Employer & Industry UsageMusic tech companies, streaming services, entertainment industryCorporate, research institutions, marketing agencies across multiple industries

Remote Data Science Music involves applying data science skills specifically to music-related data, often requiring knowledge of music industry trends and audio data analysis. Remote Data Analysis is broader, focusing on analyzing various data types across industries. While both roles require strong analytical skills and familiarity with data tools, Remote Data Science Music emphasizes music-specific data and industry knowledge.

What is a Remote Data Science Music job?

A Remote Data Science Music job involves using data analysis, machine learning, and statistical techniques to analyze or generate music-related data, all while working remotely. Professionals in this field may work with streaming data, user preferences, music recommendation systems, audio signal analysis, or music composition algorithms. They typically collaborate with music platforms, record labels, or research teams to uncover trends, improve recommendations, or create new music experiences. This role requires both data science skills and an understanding of music theory or the music industry.
What are the most commonly searched types of Data Science Music jobs in Colorado? The most popular types of Data Science Music jobs in Colorado are:
What are popular job titles related to Remote Data Science Music jobs in Colorado? For Remote Data Science Music jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Music jobs in Colorado look for? The top searched job categories for Remote Data Science Music jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Science Music jobs? Cities in Colorado with the most Remote Data Science Music job openings:
Remote Data Science Music jobs near you
Mainly Remote to Denver Data Engineer - Staff Consultant

Mainly Remote to Denver Data Engineer - Staff Consultant

Datalere

Denver, CO • On-site, Remote

$90K - $140K/yr

Full-time

Posted 12 days ago

Job description

We are looking for an experienced Data Engineer Consultant to join our team. The ideal candidate will possess strong SQL development skills, expertise in data visualization, and solid knowledge of dimensional modeling. As a Data Engineer Consultant, you will work closely with our clients to design, develop, and optimize their data infrastructure, ensuring the delivery of high-quality data solutions that meet business requirements.

This role is a mainly remote one for candidates who are relatively close to the Metro Denver area. Intermittent/occasional onsite work in Denver should be expected.

Please also note that we are somewhat stack agnostic, so those with classically defined data engineering skills (ETL Modeling and Design, Data Pipelines, Relevant Builds, etc.) are encouraged to apply regardless of tech stack.

Please also note we are unable to sponsor or take over sponsorship of an employment Visa at this time. This is to include sponsorship down the road.

Key Responsibilities:

  1. Data Infrastructure Development (ETL, SQL):
    • Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
    • Develop and optimize complex SQL queries for data extraction, transformation, and loading.
    • Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
    • Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
    • Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations.
  2. Dimensional Modeling and Data Modeling:
    • Design and implement dimensional models to support data warehousing and business intelligence initiatives.
    • Design and implement different data modeling techniques to meet business' data demands that align with data architecture design.
    • Develop and maintain data schemas, ensuring data integrity and consistency for clients.
  3. Data Visualization:
    • Create and maintain dashboards and reports using data visualization tools to provide actionable insights.
    • Train clients on best practices for using data visualization tools to maximize value.
  4. Client Consultation:
    • Engage with clients to understand their data needs and business objectives.
    • Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements.
    • Work closely with client teams, data scientists, analysts, and other stakeholders to understand data needs and provide technical support.
    • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Qualifications:

  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 3+ years of experience in data engineering, data warehousing, or a similar role.
  • Strong proficiency in SQL
  • Proven experience with data visualization tools and theory.
  • In-depth knowledge of dimensional modeling concepts and techniques.
  • Familiarity with ETL tools and processes.
  • Strong problem-solving skills and attention to detail
  • Experience with cloud-based data platforms
  • Excellent communication and collaboration skills, with the ability to work effectively with clients.

The desired salary range for this position is $90,000 - $140,000 per year. This is a full time role with the practice.

About Us

At Datalere, we work with our clients to transform their enterprise through the use of modern compute technologies and proven deployment processes providing cost effective durable solutions for the competitive world.
If you are seeking new challenges, interested in staying up to date with the latest releases and can deliver uncompromised service to our customers, then we'd like to hear from you. If you are interested and meet the above qualifications, please submit your resume and cover letter indicating your interest to join our team.

Employment Type: FULL_TIME

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