Mojang Studios is looking to personalize the Minecraft player experience inside and outside of the game by leveraging data science, algorithms, and predictive models to make recommendations on content and experiences, and to support the studio in enabling AI strategies across workflows, internal tools, and player experiences.
Requirements
- Experience building personalization models in digital products.
- Games industry knowledge, subject matter expert preferred.
- Experience in AI/ML concepts, frameworks, and tools (e.g., TensorFlow, PyTorch).
- Experience using big data tools such as Spark (PySpark), Databricks.
- Understanding of data science principles and methodologies.
- Experience with software development processes and tools (e.g., Agile, Azure DevOps).
- Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
Responsibilities
- Analyze player lifecycle data to identify opportunities for personalized experiences inside and outside of the Minecraft game.
- Support experimentation at Mojang Studios, owning KPI (Key Performance Metrics) build outs, and partner closely with Experimentation teams in hypothesis ideation, testing, and analysis.
- Develop and refine algorithms and pipelines that generate recommendation scores for personalization strategies (e.g., similarity, relevance).
- Collaborate with senior data scientists and stakeholders to ideate and evaluate personalization campaigns and experiments.
- Write and optimize queries to extract insights from large-scale telemetry and behavioral datasets.
- Translate ambiguous business questions into structured analysis plans with input from stakeholders and partners.
- Support the creation and validation of machine learning models aimed at improving data driven treatments.
Other
- Embody our Culture & Values
- Clear articulate and present findings and opportunities to studio leadership.
- Learn and apply ethical considerations in personalization, including privacy, fairness, and transparency.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Verbal and written communication skills.
