Data Scientist, Discovery Mode — Shape Artist Growth

Spotify; New York (NY); Remote; USD 116,994 - 167,135; Full time

Benefits offered by this job

Health insurance

Six-month paid parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

Paid flexible holidays

Paid sick leave

Job summary

Spotify is looking for a Data Scientist to join its Discovery Mode team. In this role, you will drive the analytical function for the ML squad, improving models that power music recommendations. You'll design experiments, analyze data, and collaborate with product managers and engineers to enhance performance.

Candidates should have a degree in a quantitative field and 4+ years of relevant experience, with strong skills in Python, SQL, and machine learning. Flexibility to work within the EST timezone is provided, along with competitive compensation.

Qualifications

• 4+ years of experience in a data science role.
• Experience defining KPIs and measuring customer outcomes.
• Strong understanding of statistical concepts for both technical and non-technical audiences.

Responsibilities

• Own the analytical function for the Discovery Mode ML squad.
• Partner with ML engineers to improve model performance.
• Design and execute experiments to evaluate model quality.

Skills

Data Science Fundamentals

Machine Learning Model Evaluation

Python

SQL

BigQuery

A/B Testing

Education

Degree in Data Science, Statistics, Economics, Mathematics

Tools

dbt

Data Storytelling

Job description

Spotify is looking for a Data Scientist to join its Discovery Mode team. In this role, you will drive the analytical function for the ML squad, improving models that power music recommendations. You'll design experiments, analyze data, and collaborate with product managers and engineers to enhance performance.

Candidates should have a degree in a quantitative field and 4+ years of relevant experience, with strong skills in Python, SQL, and machine learning. Flexibility to work within the EST timezone is provided, along with competitive compensation.