Website Spotify
This content was reproduced from the employer’s website on February 4, 2022. Please visit their website below for the most up-to-date information about this position.
Spotify’s Algorithmic Responsibility effort focuses on empowering Spotify teams to assess the algorithmic impact of their products on audio culture, avoid algorithmic harms and unintended side effects, and better serve worldwide creators and their audiences. As a Data Scientist on our team, you will help to define, research, and communicate how we assess our impact as a platform and our recommendations across podcasts, music, and user-generated content.
Who you are
- You have 2+ years of proven professional experience in applied research and statistical analysis.
- Technical competence to perform advanced analytics: coding skills, experience with analytics and visualization tools/libraries (Python, SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets.
- You bring experience in experimentation methodologies, statistics and have basic knowledge of Machine Learning techniques
- You like to learn, and deeply appreciate the need for interdisciplinary collaboration, and the combination of quantitative and qualitative methods
- You have the ability to take on loosely defined problems, and distill the results of complex methods into simple, impactful recommendations for diverse audiences
- You are a communicative person who values building positive relationships with colleagues and partner teams, and enjoys mentoring and teaching others.
What you’ll do
- Develop research questions, design studies, experiments and conduct data analysis to provide insights on Trust & Safety topics.
- Develop metrics to help assess algorithmic amplification, support content moderation evaluations, and complement qualitative insights in measuring the effectiveness of interventions.
- Work with other data and social scientists, researchers, product teams and policy managers across business units.
- Build an understanding of data gaps and advocate for new data-informed strategies and implementations to fuel our algorithmic responsibility goals.
To apply for this job please visit lifeatspotify.com.