Sr Applied Scientist

Requirements: Master’s or Ph.D. in a quantitative field (Mathematics, Statistics, Physics, Computer Science, Operations Research, Industrial Engineering, Electrical Engineering). Proven experience in applied science, machine learning, or data science roles, including experience deploying ML models in production environments. Proven experience with deep learning, representation learning, embedding models, or self-/semi-supervised learning. Fluency in Python and SQL (or similar scripting languages). Experience with big data technologies such as Apache Spark. Working knowledge of machine learning modeling/computation frameworks such as PyTorch or Tensorflow. Demonstrated ability to work independently, rapidly prototype solutions, and test new ideas. Strong communication skills, with the ability to explain technical concepts to both technical and non-technical audiences. Preferred Qualifications (Helpful, but Not Required): Experience with recommendation systems, ranking systems, or user behavior modeling. Experience with sequence models (e.g., RNNs, Transformers), graph-based approaches, or autoencoders. Familiarity with cloud services (such as AWS), containerization, model orchestration, and model serving. Familiarity with sports analytics, sports predictive modeling, or NBA domain knowledge is a plus. Interest in understanding video games as products. As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. #LI-Hybrid