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Remote Data Science Music Jobs in Scranton, PA (NOW HIRING)

All JobsData Science Music JobsRemote Data Science Music JobsRemote Data Science Music Jobs in Scranton, PA

Remote Data Science Music information

See Scranton, PA salary details

$41.1K

$141K

$199K

How much do remote data science music jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote data science music in Scranton, PA is $141,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,300.00 and $164,800.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a remote data science music professional?

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.

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 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 job categories do people searching Remote Data Science Music jobs in Scranton, PA look for?

The top searched job categories for Remote Data Science Music jobs in Scranton, PA are:

What cities near Scranton, PA are hiring for Remote Data Science Music jobs?

Cities near Scranton, PA with the most Remote Data Science Music job openings:

Remote Data Science Music jobs near you
Infographic showing various Remote Data Science Music job openings in Scranton, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,020 per year, or $67.8 per hour.

Data Engineer

Berkshire Hathaway GUARD Insurance Companies

Wilkes Barre, PA • On-site, Remote

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

Overview

Good Things Start Here.

Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.

Good Things You Can Count On.

  • Hybrid schedule: 2 days remote / 3 inoffice
  • Competitive pay + generous PTO
  • Medical, dental & vision starting day one
  • 401(k), tuition reimbursement & longevity bonuses
Responsibilities

We are hiring ahands-on senior level Data Engineer to build trustworthy, well governed data productsand turn them into insights that drive underwriting, claims, product, distribution, and operations for the organization. You will collaborate directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights and clear narratives that influence decisions. You'll context switch comfortably between data & analytic engineering and meeting withbusiness stakeholders to understand their processes and needs. 

What You'll Do:

  • Collaborate closely with cross-functional teams; including Underwriting, Product, Claims, Finance, and Distribution/Operations- to transform business questions into clearly documented requirements and actionable data solutions.
  • Model and publish curated, analysis ready datasets, semantic modelsin Power BI or analytics delivery that illuminate small commercial metrics. 
  • Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges. 
  • Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost. 
  • Follow and implement documentation standards, governance and data quality controls across datasets. 
  • Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability. 
  • Document technical architecture and workflows to support onboarding and reduce risk
  • Apply best practices in data modeling and engineering to create reusable, high-quality data products.
  • Work in an Agile/Scrum environment, contributing to sprint planning, backlog refinement, and demos.
  • Support development and scaling of data products, BI solutions, and AI-driven use cases across business areas.
Qualifications

Required

  • Hands-on experience in data modeling (conceptual, logical, physical), data engineering, analytics engineering, SQL, and Python
  • Bachelor's or Master's degree in Computer Science, IT, or related field
  • 5+ years of data engineering experience, preferably in P&C insurance
  • Experience with Data Mesh (domain ownership and decentralized data products)
  • Strong experience with modern lakehouse platforms (e.g., Microsoft Fabric, Databricks, Snowflake, AWS)
  • Experience building data solutions in cloud environments (Azure preferred; AWS a plus)
  • Familiarity with Azure DevOps (ADO) and CI/CD practices
  • Experience with data transformation, semantic modeling, and BI tools (Power BI, Tableau)
  • Strong analytical and problem-solving skills
  • Experience working in Agile/Scrum environments with product-based delivery
  • Experience delivering end-to-end data, analytics, or AI solutions with business stakeholders
  • Strong communication and collaboration skills

Preferred:

  • Experience with distributed processing frameworks (e.g., Spark)
  • Knowledge of data warehousing concepts and tools
  • Additional programming experience (e.g., Scala)
  • Understanding of data security and compliance
  • Microsoft Fabric certifications (e.g., DP-600, DP-700)
  • Experience with AI agents or multi-agent frameworks for business use cases

*Applicants must be authorized to work in the U.S. without current or future sponsorship*

Salary Range: 

$100,000 - $140,000.

In accordance with applicable pay transparency laws, the above range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

Plano, TX, New York, NY, and/or Scottsdale, AZ

The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.

Employment Type: FULL_TIME

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