Senior Data Scientist
Core
Design, validate, and productionize ML models to improve player experience and business outcomes in music games through personalization, optimization, and predictive analytics.
Role type
Senior IC machine-learning engineer (gaming/music)
Builds
ML-powered actions including dynamic difficulty adjustment, recommendation, offer personalization, ad optimization, and predictive models for UA and product decisions.
Domain
Gaming + Music + Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, Statistics, Experimentation, SQL, Python, Feature Engineering, A/B Testing, Predictive Modeling, Data Product Development
Preferred skills
Large-scale behavioral data analysis, Cross-functional collaboration, Ambiguous environment navigation
Technologies
SQL, Python (via careerplan.io/jobs/91fcf2d2-ee70-438e-8e8e-3435a08c812f-senior-data-scientist-at-amanotes)
Responsibilities
Build end-to-end ML workflows from problem framing to online testing and monitoring; Develop predictive models for UA, Product, and business decisions; Partner with UA and Product teams to turn predictive outputs into practical workflows; Explore large-scale behavioral data to uncover player patterns; Contribute to ML-driven systems for game difficulty and player flow; Support music-experience initiatives by quantifying and modeling music mechanics; Work with Data Engineering to ensure data foundation quality; Design and analyze A/B tests to measure model impact; Communicate findings to technical and non-technical stakeholders; Contribute to broader data and AI capability improvements.
