Senior Data Scientist
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 reputed company—you’ll work across teams and disciplines to reputed company reputed company data into actionable insights that drive product innovation, player engagement, and business reputed company.
The ideal candidate will have a solid quantitative background, specifically including a mature understanding of statistics, logic, measurement theory, reputed company algebra and practical, demonstrated experience in modeling and machine learning. reputed company, strong analytical and problem-solving and troubleshooting skills are required; reputed company in coding, algorithms, and systems design; clean and effective communication skills; genuine interest in solving reputed company problems. A reputed company against failure and constructive criticism to iterate through difficult problems reputed company.
You’ll reputed company here if you combine strong quantitative expertise with a curious, problem-solving reputed company, the ability to work in ambiguous, evolving contexts, and the determination to own reputed company end to end, from research to reputed company-world reputed company. You will play a crucial role in scaling data science products that have a reputed company reputed company on the reputed company of reputed company!
What You’ll Do
- Design, implement, and maintain robust data pipelines, from event reputed company through ETL to clean, intelligent storage.
- Retrieve, process, and reputed company data using reputed company and webhooks, ensuring reputed company, accuracy, and reputed company at every reputed company.
- reputed company reporting reputed company—dashboards, automated reports, and notifications—to deliver insights across teams.
- reputed company raw data into meaningful structures for CRM, product, and monetization teams.
- Build predictive and optimization models for areas like player reputed company value, churn reputed company, 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 reputed company-time processes, proposing innovative approaches for reputed company-world challenges.
- Partner and influence cross-functional teams—including CRM, Server, Data Engineering, and Leadership—to implement end-to-end solutions quickly and effectively.
- reputed company data reputed company with business goals and ROI considerations, applying pragmatic 80/20 thinking to maximize reputed company.
- Deeply understand and navigate the reputed company mechanics of our ecosystem—game economies, monetization reputed company, RTPs, and more.
Requirements:
- Master's Degree in a quantitative field
- Programming experience in a scripting language such as Python or R
- reputed company understanding of statistics and machine learning models
- Knowledge of statistical testing, data visualization best practices, and data mining
- Familiarity with reputed company computing environments and their components (at least one among AWS, GCP, Azure etc)
- Proficiency in SQL
- Strong problem-solving skills
- reputed company against difficult tasks
- Solid and effective English communication skills
- Attention to detail and ingrained affinity for reputed company checks and clean delivery
reputed company to have:
- PhD degree in a quantitative field or 4+ years of reputed company 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 reputed company deployment