Data Scientist

Work set-up: 
Full Remote
Contract: 
Work from: 

MeloTech logo
MeloTech
2 - 10 Employees
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Job description

Your mission

Melotech is revolutionizing the way media assets are created and monetized using the power of technology. We are still in stealth, but our Founder is an experienced Entrepreneur and Investor. Our funding comes from leading VCs and Angels, including Cherry Ventures and SpeedInvest.

  • Propose innovative solutions by exploratory data analysis from complex and high-dimensional datasets, applying statistical and modeling techniques to evaluate performance, make valuable discoveries, and solve non-routine analysis problems. 

  • Work collaboratively and on eye-level with our founder and other colleagues from the machine learning and software engineering teams

  • Independently manage and advance projects within Melotech’s strategy

  • Create large, efficient, and automated data processing and machine-learning pipelines

  • Present and quantify the results of your research and share it with the engineering team

  • A passion for music and entertainment

Your profile
  • Pursuing a Bachelors's or Master's degree in machine learning, computer science, electrical engineering, mathematics, physics, or other highly numerical discipline

  • Hands-on experience with Python and ML-related libraries as well as deep learning frameworks

  • Excellent knowledge of machine learning, algorithms, linear algebra, data structures, and software engineering

Why us
  • Be one of the first employees of our young startup with attractive equity packages and a competitive salary

  • Flat hierarchies, mutual appreciation, and a collaborative atmosphere in an international, young, and dynamic team

  • High flexibility around working time and working remotely + 30 days of holiday per year

About us

Founded by former Rocket Internet Board Member Soheil Mirpour and backed by Cherry Ventures and Speedinvest, with angel investors including executives from Spotify, DST Global, and Blackstone. Our team brings experience from prestigious companies including Bain & Company, Goldman Sachs, and Universal Music. We're not building another music tool, we're architecting the future of how music gets made, discovered, and experienced.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration

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