Senior Data Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 12h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 195d ago
The date the source published, not the day we noticed it (2026-03-23). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$1,650–2,438/mo
Middle 50% of 18 listings that do state pay — Operations · all levels · APAC · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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bamboohr employer's own board first seen 12h ago · last seen 2h ago
The listing
We’re looking for a Senior Data Scientist to help shape and expand the analytics backbone of our games ecosystem. This role is both deeply technical and highly collaborative—you’ll work across teams and disciplines to transform complex data into actionable insights that drive product innovation, player engagement, and business growth.
The ideal candidate will have a solid quantitative background, specifically including a mature understanding of statistics, logic, measurement theory, linear algebra and practical, demonstrated experience in modeling and machine learning. Further, strong analytical and problem-solving and troubleshooting skills are required; fluency in coding, algorithms, and systems design; clean and effective communication skills; genuine interest in solving complex problems. A resilience against failure and constructive criticism to iterate through difficult problems efficiently.
You’ll thrive here if you combine strong quantitative expertise with a curious, problem-solving mindset, the ability to work in ambiguous, evolving contexts, and the determination to own projects end to end, from research to real-world impact. You will play a crucial role in scaling data science products that have a direct impact on the success of High 5 Games!
What You’ll Do
- Design, implement, and maintain robust data pipelines, from event generation through ETL to clean, intelligent storage.
- Retrieve, process, and integrate data using APIs and webhooks, ensuring quality, accuracy, and integrity at every step.
- Develop reporting layers—dashboards, automated reports, and notifications—to deliver insights across teams.
- Curate raw data into meaningful structures for CRM, product, and monetization teams.
- Build predictive and optimization models for areas like player lifetime value, churn prediction, monetization strategies, and game recommendations.
- Define and execute multivariate testing frameworks to optimize product and campaign performance.
- Explore and apply state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges.
- Partner and influence cross-functional teams—including CRM, Server, Data Engineering, and Leadership—to implement end-to-end solutions quickly and effectively.
- Align data projects with business goals and ROI considerations, applying pragmatic 80/20 thinking to maximize impact.
- Deeply understand and navigate the abstract mechanics of our ecosystem—game economies, monetization levers, RTPs, and more.
Requirements:
- Master's Degree in a quantitative field
- Programming experience in a scripting language such as Python or R
- Fundamental understanding of statistics and machine learning models
- Knowledge of statistical testing, data visualization best practices, and data mining
- Familiarity with cloud computing environments and their components (at least one among AWS, GCP, Azure etc)
- Proficiency in SQL
- Strong problem-solving skills
- Resilience against difficult tasks
- Solid and effective English communication skills
- Attention to detail and ingrained affinity for sanity checks and clean delivery
Nice to have:
- PhD degree in a quantitative field or 4+ years of professional experience in a relevant field (technology/gaming/algorithms/research…)
- Experience working with GCP tech stack
- A good understanding of database design and management
- Experience in developing and applying machine learning algorithms to business problems
- Experience in Java and/or C++
- Experience in AI productionisation and Agentic deployment