Data Scientist

11 Months ago • All levels

Job Description

This senior data scientist role focuses on applying machine learning and advanced analytics to develop scalable game solutions across development, publishing, and live operations. Responsibilities include establishing automated processes for large-scale data analysis, developing and validating machine learning/deep learning/reinforcement learning models, and providing actionable business insights to stakeholders. The ideal candidate will have expertise in various data science domains and proficiency in SQL and Python. Cross-functional collaboration is key to success in this role.
Good To Have:
  • NLP, Computer Vision, Recommendation Systems
Must Have:
  • Master's or PhD in quantitative discipline
  • Expertise in ML/DL/RL
  • Experience in real-world applications
  • Proficient in SQL and Python
  • Data analysis and visualization skills

Add these skills to join the top 1% applicants for this job

supervised-learning
reinforcement-learning
computer-vision
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python
sql
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live-operations

Responsibilities:

● We are hiring a senior data scientist for the machine learning and advanced analytics DS team.

● Apply machine learning and advanced analytic methods to solve challenging problems and deliver scalable game solutions in development, publishing, and live operations.

● Establish scalable, efficient, automated processes and provide end-to-end data solutions with large-scale data analysis, experimentation, machine learning/deep learning/reinforcement learning model development, validation, and serving.

● Interact cross-functionally with various teams and provide actionable business insights for stakeholders.

Requirements:

● Graduated with a master’s or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, economics, etc.

● Expertise in one or more of the following areas: machine learning & statistical learning, deep learning, reinforcement learning, statistical analysis, experimentation, NLP, computer vision, recommendation system, and any other data science-related domains.

● Experience utilizing analytics, inference, experimentation, or machine learning techniques in real-world applications is preferred.

● Excellent knowledge of data science methods and best practices, such as data analysis and visualization, supervised learning, unsupervised learning, and time series.

● Proficient in SQL and Python.

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