Data Scientist - Discovery Mode
Bangun sistem analitik untuk tingkatkan rekomendasi lagu di Spotify
Analisis data dan kembangkan eksperimen untuk meningkatkan model rekomendasi Discovery Mode di Spotify. Bekerja bersama tim ML, PM, dan Product Insights, kamu akan membangun fondasi analitik yang menjaga akurasi dan dampak sistem promosi bagi artis dan label. Fokus pada evaluasi model dan pengembangan framework pengukuran dalam konteks produk promosi musik.
Kenapa Menarik?
Berperan penting dalam pengembangan produk promosi utama Spotify yang berdampak langsung pada artis dan label.
Tanggung Jawab Utama
- Menganalisis dan mengevaluasi model rekomendasi Discovery Mode
- Merancang eksperimen untuk menguji dan meningkatkan sistem pengukuran
- Mengembangkan framework evaluasi untuk model ML
- Berkolaborasi dengan product manager dan ML engineer dalam pengembangan produk
Persyaratan
- Pengalaman analisis data dan eksperimen di lingkungan ML
- Kemampuan membangun framework evaluasi model
- Mampu bekerja sama dengan tim lintas fungsi seperti PM dan ML engineer
Skills Wajib
Keywords
Lihat Deskripsi Asli dari Lever Postings
Deskripsi asli dari Lever Postings
The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify. We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead. In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.
Data & laporan pasar
Riset gaji & permintaan skill dari data lowongan kami sendiri.
- Lowongan IT Indonesia vs Remote Global (2026)Analisis data primer 2.049 lowongan: metodologi, klasifikasi, dataset bisa diunduh.
- Permintaan Skill AI: Indonesia vs Global (2026)10.000+ lowongan, classifier taxonomy-first, Wilson CI, pra-registrasi sebelum analisis.
- Laporan Hiring Indonesia: Tech vs Non-TechPermintaan lowongan per bidang dari hitungan agregat — bukan listing per-listing.
- Benchmark Gaji IndonesiaKisaran gaji agregat lintas peran, dengan metodologi dan dataset terbuka.
- Laporan Pasar Remote per PeranLaporan otomatis per kelompok peran — skill, senioritas, perusahaan, gaji.