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Location: NYC or Miami (Hybrid)

Duetti was founded in 2022 with the mission of providing independent music artists with new financial alternatives. Our unique model unlocks immediate cash flow for a wide range of artists, allowing them to sell master catalogs, individual tracks, or even parts thereof, an opportunity previously only accessible to a small group of A-list artists.

We deploy a highly scalable data-centered approach to our catalog pricing and management, using innovative prediction and risk assessment methodologies, alongside cutting-edge optimization tactics.

Duetti was founded by Lior Tibon, former COO of TIDAL, and Christopher Nolte, former Business Development executive at Apple Music. We publicly launched in May 2023 with $32m of funding from Viola Ventures and Viola Credit, Roc Nation, and other investors. Duetti provided funding for over 60 independent artists, with up to $400,000 per deal.

We have offices in New York City, Los Angeles and Miami. We offer a competitive benefit package including healthcare coverage and flexible paid time off and paid sick leave policy. We currently operate a hybrid work model with a minimum of three set days a week in office in one of our three locations.

Join us as we embark on this transformative journey reshaping the financial landscape for artists. We offer an inspiring and familial yet ambitious work environment, where your expertise and creativity will contribute to reshaping the future of artist monetization and have an immediate tangible impact on artists’ lives.

Job Description

Data is at the very core of Duetti’s offering and value creation. We price tracks based purely on data and utilize it to identify optimization opportunities. Duetti already possesses public and proprietary sources that provide comprehensive insights into millions of tracks. As an early member of the data team, you will play a pivotal role in utilizing data to directly impact the lives of artists, as well as influencing all aspects of Duetti’s product and business.
 
As a Data Scientist, you will be tasked with creating a bridge between our data scientists and our internal investment team, as well as potentially working with external artists and the optimization / marketing team. Your expertise will be crucial in facilitating effective communication and collaboration among these stakeholders.
 
We are seeking data scientists who like to solve problems and dig deeper. Someone who has demonstrated experience in building robust data tools and visualizations that drive key decision-making processes. Previous experience in the streaming industry, particularly music streaming, is highly desirable. Additionally, the ability to work autonomously and efficiently, even with limited resources, will be an asset in this role.

You will:

  • Collect, clean, and transform large datasets from various sources for analysis.
  • Analyze complex datasets to identify patterns, trends, and insights that support business decision-making.
  • Develop and maintain data models, dashboards, and reports to track key performance indicators and provide actionable recommendations.
  • Collaborate with cross-functional teams to define data requirements and ensure data quality and accuracy.
  • Identify and implement process improvements to enhance data collection, storage, and analysis efficiency.
  • Provide data-driven insights and recommendations to stakeholders, enabling them to make informed business decisions.
  • Conduct ad-hoc data analyses and generate reports as requested by internal teams.

Job Requirements

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in Python and SQL for data manipulation, analysis, and visualization.
  • Proficient in data querying, transformation, and analysis.
  • Solid understanding of statistical concepts and experience with statistical analysis.
  • Experience with visualization tools such as Looker or matplotlib.
  • Familiarity with data warehousing concepts and working knowledge of relational databases. Ability to work with large datasets and perform complex data manipulations efficiently.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to present complex data insights in a clear and concise manner.
  • Proactive and self-motivated with the ability to work independently and in a team environment.
  • Experience in machine learning and advanced analytics techniques is a plus.
  • A love for music and culture, and a desire to be at the forefront of new business models for artists is a plus.
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