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Data Scientist
2 years ago
Job Title:
Data ScientistRequisition ID:
R010644Job Description:
Job Title: Data Scientist
Your Mission
The Data Scientist will develop and operationalize machine learning (ML) models as part of our behavioral machine learning initiatives. You will be responsible for:
- Building scalable machine learning models to detect and provide context around disruptive behavior.
- Designing and maintaining scalable, efficient, production-quality detection tools to inform operations and measure performance.
- Researching and implementing novel ML approaches for new problems.
- Translating requirements from cross-disciplinary teams in Game Operations, Marketing, CRM, and Business Planning into data solutions.
- Synthesizing disparate data, detecting and working around broken data, and investigating every possibility until you have a thorough solution.
- Surfacing and communicating results to technical and non-technical colleagues by generating dashboards and reports.
As a machine learning expert on the team, you will leverage your experience to steer data-driven discussions, improve internal processes, and communicate results to technical and non-technical colleagues. You will be a trusted member of an established team of data scientists and machine learning engineers, focused on ensuring player satisfaction in our games. You will accomplish this by:
- Being a tenacious and self-catalyzing problem solver.
- Driving towards visibility, accountability, and communication.
- Being team-oriented, and able to build long-lasting and collaborative relationships effectively.
- Respectfully contributing your professional experience in every conversation.
- Listening with openness to others.
- Adapting quickly, having a high tolerance for ambiguity, and coordinating effectively on a team.
- Evangelizing ethical ML by being thoughtful about identifying, testing for, and reducing biases in models.
Player Profile
Minimum Requirements:
- M.S. in Mathematics, Machine Learning, Data Science, Statistics, Operations Research, Economics, or other quantitative field.
- 3+ years experience as a data scientist. Senior level depends on additional experience.
- NLP experience, including TF-IDF, text normalization, word embedding, and LSTM
- General machine learning experience, i.e. regression, classification, and clustering algorithms, time-series analysis, Bayesian methods, and survival analysis.
- Prototype-to-production engineering skills in Python, including best practices such as source control, proper documentation, library packaging, versioning, testing, containerization, CI/CD, and task scheduling.
- Advanced SQL and Spark skills.
- Professional habits around model validation, testing, and tracking.
- Solid understanding of statistics, e.g. statistical power analysis, significance testing, t-tests, ANOVA.
- Engineering experience in at least one cloud platform such as AWS, GCP, or Azure.
Bonus Points:
- Ph.D. with peer-reviewed publications and a proven track record of self-guided research.
- Video game enthusiasm with a solid understanding of the gameplay mechanics in Warzone.
- Exposure to stream processing infrastructure such as Kafka and Spark Streaming.
- Hardware-level knowledge (C++, memory management, GPU rendering).
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