Objectives
We are looking for a Data Scientist with strong Machine Learning capability to design, validate, and productionize models that improve player experience and business outcomes across Amanotes games and data products.
This role will help Amanotes move from descriptive analytics to intelligent decisioning by turning user, product, and business data into ML-powered actions such as dynamic difficulty adjustment, recommendation, offer personalization, and ad optimization.
WHAT YOU WILL DO
Work on high-impact personalization and optimization use cases such as song recommendation, dynamic difficulty adjustment, ad frequency optimization, personalized IAP offers, churn prevention, and content or event performance prediction.
Build end-to-end ML workflows: problem framing, feature design, model development, offline validation, experiment design, online testing, monitoring, and iteration based on results.
Develop predictive models that support UA, Product, and business decisions, such as pUV/LTV prediction, early-value prediction, creative winning prediction, UA and portfolio ROI forecasting, and campaign or resource-allocation recommendation signals.
Partner closely with UA and Product teams to turn predictive outputs into practical workflows for planning, targeting, bidding, creative iteration, and growth decision-making.
Explore large-scale behavioral data to uncover player patterns, segments, and opportunities using statistical analysis, experimentation, and data science techniques.
Work at the intersection of Data Science, Product, Game Design, and Music Experience Design to improve how music changes player experience inside Amanotes products.
Contribute to ML-driven systems for game difficulty and player flow, including difficulty prediction, game skill estimation, frustration detection, and next-best difficulty or assist recommendations.
Support Amanotes’ music-experience initiatives by helping quantify, model, and validate how music mechanics, reactive audio, or musicalized gameplay affect retention, engagement, monetization, and user experience.
Work with Data Engineering to ensure the right data foundation, quality, and availability for model training, scoring, monitoring, and analysis.
Design and analyze A/B tests or other controlled experiments to measure model impact on engagement, retention, monetization, player experience, and product growth.
Communicate findings, trade-offs, and recommendations clearly to both technical and non-technical stakeholders.
Contribute to Amanotes’ broader data and AI capability by improving reusable data assets, experimentation practices, predictive systems, and data-science ways of working.
QUALIFICATIONS
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or another quantitative field.
Strong foundation in statistics, experimentation, machine learning, and analytical problem solving.
Strong hands-on ability with SQL and Python for data extraction, analysis, feature engineering, and modeling.
Experience building data products or ML solutions end to end, from discovery and R&D to production or live experimentation.
Ability to work with messy, large-scale behavioral data and convert it into usable features, insights, and decisions.
Comfortable working cross-functionally with product, engineering, and business stakeholders in an ambiguous, fast-changing environment.
Clear communication in English and Vietnamese, with the ability to explain technical topics to non-technical audiences.
BENEFITS
- Competitive salary upon experience
- 13th-month salary
- Year-end Bonus
- Flexible working time
- Personal learning and well-being budget
- Team-building budget
- Lunch and parking allowance
- Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, LinkedIn Learning...).
- Engaging music events: Music Night, Amasing Night, Music schools…
- Employee Assistance Program to support mental health & well-being.
- Minimum 12 days of paid annual leave, plus 10 days of paid sick leave.
- 12 days working from home per year.
Skills Required
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or another quantitative field
- Strong foundation in statistics, experimentation, and machine learning
- Hands-on ability with SQL for data extraction and analysis
- Hands-on ability with Python for feature engineering and modeling
- Experience building data products or ML solutions end-to-end, including production or live experimentation
- Experience working with messy, large-scale behavioral data and deriving usable features
- Ability to design and analyze A/B tests or other controlled experiments
- Clear communication in English and Vietnamese and ability to explain technical topics to non-technical audiences
- Comfortable working cross-functionally with product, engineering, and business stakeholders in a fast-changing environment
What We Do
Amanotes is a leading music tech company with the mission of delivering the best music interactive experience to users. Since 2014, 30+ music games and mobile applications were published under our name with 2+ billion downloads worldwide and 120+ million monthly active users. In 2019, we were proudly listed as the #1 mobile apps publisher from Southeast Asia, the #1 music games publisher in the world, and one of the top 20 mobile apps publishers in the world across all categories. If you love to work in a friendly and fun environment with music all around the corner, come join us! Explore our products on Google Play and iOS App Store such as Magic Tiles 3, Tiles Hop, Dancing Ballz, and more than 30 others.
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