Senior Data Scientist

Objectives

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.

Consent Notice for Personal Data Processing

- By applying to any position at Amanotes, you acknowledge and agree that your personal data will be collected and processed for recruitment-related purposes. Please read the “Consent Notice for Personal Data Processing” carefully before submitting your application.

- Thank you for your interest in joining Amanotes.

About Amanotes

We are Amanotes – a dynamic music game company that’s using cutting-edge technology to transform how people experience music.

Since 2014, we’ve led the global simple music game market with over 3.5 billion downloads across 190+ countries, including chart-topping titles like Magic Tiles 3, Tiles Hop, Dancing Road, and Duet Cats.

As the #1 Music Game Publisher worldwide and the #1 App Publisher from Southeast Asia by downloads, our ambition is clear: to create iconic, hybrid-casual music games that people love and play for years.

What truly sets Amanotes apart is not just what we build — it’s how we grow and who we grow with:

🎓 We invest in your growth through learning budgets, coaching, and stretch opportunities.

🎶 We embrace a creative and dynamic culture, where everyone can play, share, and thrive.

🧘 We believe in work-life harmony — your rhythm matters here.

🏆 We recognize and reward impact, with competitive benefits and clear development paths.

Come join our music-filled workplace, where innovation meets rhythm — and let’s create a magical music experience together.

Amanotes – Where Everyone Can Music.

How To Apply?

Click the button or contact us at [email protected].