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Location: NYC, Miami (Hybrid)

Data is at the very core of Duetti’s offering and value creation. We price music 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 experienced Data Scientist with expertise in neural networks, 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.
In addition to the aforementioned responsibilities, as a Data Scientist, you will be tasked with creating a bridge between our data science team and our internal investment team, as well as potentially working with external artists. Your expertise, particularly in neural networks, will be crucial in facilitating effective communication and collaboration among these stakeholders.
We are seeking data scientists who have demonstrated experience in building advanced data models, conducting complex analyses, and developing cutting-edge machine learning algorithms, with a particular emphasis on neural networks. 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.
Join our team and become part of a collaborative and innovative environment, where your advanced analytical skills, particularly in neural networks, and industry expertise will have a significant impact on our business decisions. We offer a competitive compensation and benefits package, along with ample opportunities for professional growth and development.

Responsibilities

    • 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.

Requirements

    • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degrees (Master’s or Doctoral) are preferred, especially with a focus on neural networks.
    • Proven experience as a Data Scientist or in a similar role, with at least 4 years of industry experience. Experience specifically in neural network projects is highly desirable.
    • Strong proficiency in Python and SQL for data manipulation, analysis, and visualization. Familiarity with additional programming languages is a plus.
    • Extensive experience in designing and implementing neural network models. A deep understanding of various neural network architectures and their applications.
    • Familiarity with general machine learning algorithms and techniques, beyond neural networks, is required.
    • Proficiency in data querying, transformation, and advanced data analysis techniques. Experience with statistical modeling and hypothesis testing.
    • Proficiency in using data visualization tools such as Tableau, Power BI, or matplotlib to present complex insights in a visually appealing and understandable manner.
    • Familiarity with data warehousing concepts and expertise in working with large relational databases.
    • Ability to work with large datasets, perform complex data manipulations efficiently, and utilize distributed computing frameworks when necessary.
    • Excellent problem-solving abilities and meticulous attention to detail.
    • Strong communication and interpersonal skills, capable of conveying complex data insights to both technical and non-technical stakeholders.
    • Proactive and self-motivated with the ability to work independently and in a team environment.
    • An interest in the music industry and a desire to contribute to new business models for artists is a plus.
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