Data Scientist II - Core Experience

Job Description

This job posting has expired and no longer accepting applications.

We are looking for a Data Scientist to join The Band and help drive a data-first culture across Spotify, specifically within the organization behind our mobile app experience - CoreX. Our Data Scientist mission is to turn terabytes of data into insights and get a deep understanding of music and listeners so that we can impact the strategy and direction of Spotify. Within CoreX, we use data to create the best mobile experience possible. You will study user behavior, critical initiatives, markets, content, and new features and bring data and insights into every decision we make.

What You'll Do

Perform analyses on large sets of data to extract practical insights on the user experience that will help drive decisions across the business, with a special focus on the mobile experience.

Coordinate and execute A/B experiments across the mobile apps, effectively driving robust decision-making and understanding the impact of our work on users.

Build dashboards, data pipelines, and recurring reporting results, empowering creative growth and business decision making.

Communicate data-driven insights and recommendations to key collaborators across all levels of seniority.

Work closely with cross-functional teams of analysts, product owners, engineers, designers, and others across the company who are passionate about Spotify’s success.

Be a member of the Spotify-wide data-science community.

Who You Are

You have a degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or another similar quantitative subject area.

You have 2+ years of experience in a similar role as a Data Scientist or Data Analyst OR 5+ years of experience in product development with a keen interest in data.

Strong interpersonal skills and comfort working with stakeholders across disciplines (technical and non-technical) and across seniority levels.

Experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.

Practical experience with A/B testing methodologies.

Proficiency with Python, R, or similar programming languages.

Proficiency in SQL (We use Google BigQuery).

Experience performing analyses with large datasets and generating relevant answers and impactful insights.

Experience with data visualization tooling (Data Studio, Tableau, etc).