Senior Data Scientist

Games talent (Staffing and recruiting)

| Worldwide (Remote) | Full Time | 6 months ago

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Job Summary

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.

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.

Good to Have

Experience with Graph DBs as a bonus.
Knowledge of cloud platforms (AWS, Azure, GCP).

Job Description

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.

16 Skills Required For This Role

Cross Functional Communication Data Analytics Data Structures Aws Azure Seaborn Matplotlib Data Science Scikit Learn Pytorch Pandas Python Algorithms Tensorflow Machine Learning

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