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Remote Data Science Music Jobs in Colorado (NOW HIRING)

Data Scientist - TrainingPeaks

Louisville, CO ยท On-site +1

$94K - $158K/yr

We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them. General Summary Join TrainingPeaks as a Data Scientist and be at ...

Senior Applied Data Scientist

Almont, CO ยท Remote

$80 - $95/hr

Description: 100% Remote, EST hours Our client, a leader in their industry, is hiring a Senior ... Design, develop, and own applied data science and optimization models supporting a pricing engine ...

Data Analyst

Denver, CO ยท On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

In this role, you will lead teams of managers, data scientists, analytics engineers, to deliver ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Decision Science Analyst Senior

Colorado Springs, CO ยท On-site +1

$86K - $114K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... You will apply advanced analytical techniques to omnichannel contact data to identify performance ...

Azure AI Data Engineer

Golden, CO ยท On-site +1

$118K - $142K/yr

US Remote Ready to make a difference? ICF is seeking an Azure AI Data Engineer to join our team ... Collaborating with data scientists, business analysts, and other stakeholders to understand data ...

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Remote Data Science Music information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

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.

Is 30 too late for data science?

Remote data science roles are accessible at any age, including at 30, as the field values skills like programming, statistics, and machine learning. Many professionals transition into data science later in their careers, and continuous learning through online courses and certifications can help build relevant expertise regardless of age.

Can data science jobs be done remotely?

Data science jobs, including roles in remote data science music, are often performed remotely as they primarily involve analyzing data, coding, and using tools like Python or R. Many companies offer remote positions for data scientists, especially with skills in cloud computing and collaboration platforms, making remote work a common option in the field.

How much does a Sony music data analyst make?

A data analyst working in the music industry, such as at Sony Music, typically earns between $60,000 and $90,000 annually, depending on experience, location, and skill level. Proficiency in data analysis tools like SQL, Python, or R, and understanding of music industry metrics, can influence salary levels.
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 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:
Data Scientist - TrainingPeaks

Data Scientist - TrainingPeaks

Peaksware

Louisville, CO โ€ข On-site, Remote

$94K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Job description

Company Information

Join the Team Powering the World's Best Endurance Athletes

At TrainingPeaks, we believe that behind every great athlete is a great coach and the right technology to help them reach their potential. Our platform is trusted by Tour de France winners, Olympic gold medalists, and everyday endurance athletes to plan, track, and analyze their training. Whether you're a performance-driven athlete, a passionate coach, or someone who simply thrives on building tools that empower others, TrainingPeaks is where ambition meets impact.

As part of the Peaksware portfolio, consisting of brands like TrainingPeaks, MakeMusic, Alfred Music, TrainHeroic, we're united by a shared mission: to create software that transforms deliberate practice into performance. At Peaksware, we don't just build products. We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them.

General Summary

Join TrainingPeaks as a Data Scientist and be at the forefront of revolutionizing endurance coaching. You'll harness 30 years of rich athlete and coach data to build next-generation AI and machine learning tools that empower the world's most elite performers. In this role, you won't just analyze numbers, you'll lead high impact projects from ideation through production, partnering with engineers, product managers, and domain experts to bring game changing features to life.

If you're passionate about turning data into action, excited by complex, real-world problems, and eager to innovate in one of the most dynamic domains in sports technology, we'd love for you to apply. This is your opportunity to help shape the future of training for athletes and coaches around the world.

Core Functions:ย 

  • Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact.
  • Collaborate with cross-functional partners, such as product and engineering to design effective and safe Machine Learning and AI solutions.
  • Train and iterate on models, thinking critically about tradeoffs with model complexity and novelty.ย 
  • Debug models when observability shows performance gaps, and iterate on models.
  • Work on cutting edge modeling technology and take the opportunity to rethink every element of the coach and athlete experience.
  • Interface with customers to understand their needs and gather feedback regarding our models and products.
  • Stay up-to-date with the latest trends in Machine Learning and applied AI practices.
  • Perform other duties as assigned.

Requirements

Required Qualifications:ย 

  • 2+ years of experience as a Data Scientist or similar role.
  • Background in computer science, data science, statistics, applied mathematics, or similar technical fields.
  • Strong analytical thinking and problem-solving skills with a high attention to detail.
  • Experience with exploratory data analysis and model prototyping, using languages such as Python and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker.
  • Excellent written and verbal communication skills.
  • Ability to deal with ambiguity.

Degrees are not required and we value all forms of continued education including traditional four-year degrees, post-graduate degrees, associates degrees, bootcamps, online training, professional certifications, self-teaching and more.

Desired Qualifications:ย 

  • M.S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar technical fields.
  • Experience with our products and an understanding of endurance sports.
  • Experience implementing machine learning algorithms in the cloud (AWS).
  • Familiarity with LLM concepts such as prompt engineering and evaluation frameworks

Benefits

Compensation:

We are committed to fair and equitable compensation practices. The salary range for this role in Colorado is $94,874 - $158,124. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. This role is eligible for variable compensation including bonus.

Benefits and Perks:

Health

  • We offer comprehensive health benefits including medical, dental, and vision insurance; health savings and flexible spending accounts, paid parental leave; and an employee assistance program.
  • Additional coverage options including Accident & Critical Illness insurance as well as Hospital Indemnity are also available.

Disability and Life

  • We offer several company paid options including Short Term Disability, Long Term Disability, as well as Basic Life Insurance and AD&D.
  • Additional coverage options including Employee-paid Supplemental Life Insurance for Employee, Spouse, and/or Child are also available.

Additional

  • We offer a 401(K) including a company match.
  • We observe 12 paid holidays annually and provide discretionary Flexible Time Off. Employees also receive free access to our products, corporate discounts, and professional development resources.
  • Access to the Performance and Recovery Center (PARC), our on-site fitness facility, as well as employee only access to on-site locker rooms and showers.ย 
  • Employee only access to secure, indoor bike storage and access to e-bikes exclusively to Peaksware employees.
  • Access to our onsite Music and Podcast Studio.

If you require a reasonable accommodation to review our website or to apply online, please fill out our Candidate Accommodations Request Form.

Peaksware adheres to the FLSA Exemption Threshold for minimum wage in all states.

Work Environment

This job operates in a professional office environment that is well-lighted, heated, and/or air-conditioned with adequate ventilation and a noise level that is usually moderate. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.

All employees must comply with all safety policies, practices and procedures. Report all unsafe activities to your manager and/or Human Resources. #LI-Hybrid

Physical Demands

While performing the duties of this job, the employee is regularly required to sit and move about the facility; use hands to handle, or feel; talk by expressing ideas by means of the spoken word; and hear by perceiving the nature of sounds. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

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