Introduction
Accepting only US-based applicants with 6+ years of hands-on data science/data leadership experience.
We’re looking for a Data Scientist for a music technology platform focused on changing the ecosystem of music creation and production by making it faster, more affordable, and more accessible for content creators, DJs, singer-songwriters, enterprises, and people of any skill level to create completely original music at the click of a button.
Key areas of focus/critical experience must-haves:
- Consumer product/SaaS
- Customer acquisition and subscriptions
- Machine learning
This role requires is a specific skillset founded in machine learning, product scale, and agility in product development with a heavy focus on consumer subscription models, acquisition, and scale. A music background is a huge plus.
Benefits:
- Base salary + equity + performance bonus
- Industry-leading healthcare covering medical, dental, vision, and life paid by the company
- Health Savings and Flexible Spending accounts
- 401K
- Unlimited PTO with an employee-focused work approach
- Flexible work schedule and a remote-friendly environment
- Parental leave
- Participation in profit sharing
- Employee Referral Bonus Program
- Company outings, retreats, and events (when permissible)
Responsibilities
- Collect, analyze, and present processed and unprocessed data pertaining to music creation tech to make the business more powerful and increase enterprise opportunities. To be honest, the right person can probably better tell us how this role should work. And we’ll happily empower you to do that
- Design accurate and scalable prediction algorithms in pertinence to business objectives
- Collaborate with the engineering team to bring analytical prototypes to production, make product adjustments, and geek out on product opportunities
- Based on the insights you gather, make clear recommendations to improve and work with other department leads to execute
- Help design data team hiring roadmaps
- Produce regular analytics reports for internal and external stakeholder (board, investor, etc.) purposes.
Requirements and some nice-to-haves:
- 6+ years professional Data Science experience – startup background is a huge benefit with a strong capacity to work across teams in product, marketing, sales, and engineering
- Consumer product and subscription modeling expertise
- Academic background in statistics, comp sci, math, engineering
- Portfolio or sharable work samples (dashboards you built, measurable/quantifiable results you helped produce, methodology, etc.)
- Deep ML/AI experience (including machine learning modeling and ensemble methodology)
- Python expertise (NumPy, SciPy), SQL, MongoDB, C++
- Understanding of digital signal processing techniques (filtering, spectral/FFT analysis, convolution, etc.)
- Experience with machine learning, especially as it applies to music analysis and/or generation
- Experience with Django, Heroku, AWS, S3
- Familiarity with python audio processing libraries such as Librosa
- Passion for or experience in music – ML, production, and creation