Senior Data Scientist
5 Months ago • All levels
Data Analysis
Job Description
As a Senior Data Scientist, you will be instrumental in developing and deploying generative AI models and machine learning algorithms. This role involves researching and experimenting with cutting-edge AI technologies, particularly generative models, while also monitoring and improving the performance of AI systems. Responsibilities include implementing data pipelines, analyzing large datasets to extract insights, collaborating with cross-functional teams for experiments, and ensuring responsible AI development. The ideal candidate will be part of a team creating a new gaming experience.
Good To Have:
- Experience with Graph DBs as a bonus.
- Knowledge of cloud platforms (AWS, Azure, GCP).
Must Have:
- Master's or Ph.D. in a related field or hands-on experience.
- Proven data science experience, preferably in AI/ML domains.
- Strong proficiency in Python, R, or Julia, with relevant libraries.
- Proficient in data analysis and visualization tools.
We're looking for an experienced Senior Data Scientist to join this team in creating a new experience for RPG players. The company is working to deliver a unique first title which combines influences from multiple games.
Responsibilities:
- Design, develop, and deploy generative AI models and machine learning algorithms for potential in-game features or development tools.
- Conduct research and experiment with the latest AI technologies and methodologies, with a focus on generative models.
- Monitor and evaluate the performance of AI systems, making adjustments and improvements as needed.
- Implement and maintain pipelines for data collection, processing, and deployment of AI models.
- Analyze and maintain large datasets to extract valuable insights.
- Collaborate with cross-functional teams to design and conduct experiments and data-driven optimizations.
- Stay informed on advancements in AI ethics and ensure models are developed and deployed responsibly.
Qualifications:
- Master's or Ph.D. in a related field (Computer Science, Data Science, Mathematics, Machine Learning, Statistics, etc.) or hands-on experience that gives similar knowledge.
- Proven experience as a data scientist, preferably in AI/ML related domains and working generative AI models..
- Strong proficiency in programming languages such as Python, R, or Julia, as well as familiarity with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Comfortable integrating data science workflows into real-world applications.
- Proficient in data analysis and visualization tools (e.g., Pandas, Matplotlib, Seaborn).
- Knowledge of cloud platforms (AWS, Azure, GCP) and experience with data engineering and big data technologies.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Strong understanding of statistical modeling and experimental design.
- An interest in computer games and a desire to leverage data science to enhance the gaming experience.
- Experience with Graph DBs as a bonus.
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