As a Senior Data Scientist at Suno, your key responsibilities include shaping our data strategy, designing and running experiments, and generating actionable insights into our product and users. You'll collaborate closely with engineering, product, and leadership teams to foster a data-driven culture, helping to make key product decisions and shape our experimentation framework as we continue to grow.

To qualify for the Senior Data Scientist position at Suno, you should have 5+ years of experience in a quantitative role, particularly in a startup or fast-growing consumer product environment. Strong analytical skills, proficiency in SQL and Python, and experience with data visualization are vital. You'll also need a self-starter mentality, excellent communication skills, and the ability to thrive in ambiguous situations.

At Suno, we are committed to the continuous learning and growth of our Senior Data Scientist employees. You will have the opportunity to explore new tools and techniques in our fast-paced environment, as well as collaborate across multiple functions to enhance your skills. We foster a culture of mentorship and innovation that encourages you to take initiative and contribute ideas that can shape our product.

Suno offers a dynamic and collaborative working environment for the Senior Data Scientist role. Our culture celebrates music and creativity, with a focus on experimentation and data-driven decision-making. You'll be working alongside a team of musicians and AI experts who are as passionate about their craft as you are, creating a fun and engaging atmosphere where creativity thrives.

Suno offers a competitive benefits package for its Senior Data Scientist, which includes comprehensive healthcare options, a 401k with matching contributions, generous commuter benefits, and flexible PTO. We value work-life balance and aim to support our employees in maintaining their well-being while contributing to our innovative mission.

In your response, highlight specific examples of experiments you've designed and the methodology you employed. Discuss how these experiments contributed to product decisions and any metrics that were tracked to measure their success.

Explain your thought process when analyzing data sets. Discuss the tools you use, how you identify key metrics, and the steps you take to ensure that your insights are clear and actionable for product teams.

Detail the statistical techniques you are skilled in, providing examples of how you've applied them in previous roles. Mention tools and programming languages you used to implement these techniques effectively.

Talk about your communication strategies and how you build relationships with cross-functional teams. Highlight any tools or practices you use to maintain alignment and facilitate collaborative decision-making.

Reflect on specific challenges related to ambiguity and rapid change, and discuss how you've navigated these challenges. Emphasize your flexibility and adaptability in high-pressure situations.

Share a specific case where your data analysis significantly impacted strategic direction. Elaborate on the data points used, your presentation to the stakeholders, and the outcome of the decision.

Discuss the data visualization tools you've used (like Tableau, Matplotlib, etc.) and explain why you prefer them. Mention how you used these tools to convey insights effectively to both technical and non-technical stakeholders.

Detail your prioritization strategy, including how you assess project value, align with team goals, and manage deadlines while ensuring that you provide timely insights across projects.

Discuss your passion for music, innovation, and how Suno's mission aligns with your personal values. Reflect on the unique challenges of the role and your eagerness to contribute to a startup focused on empowering creativity through technology.

Mention the resources, blogs, courses, or networking sessions that you engage with to keep your skills sharp and stay informed about industry developments. Highlight your commitment to continuous learning.