Data Scientist (L5) - Cloud Games Quality of Experience

Job Overview & Introduction: As a Data Scientist at Netflix, you will play a critical role in enhancing the quality of experience for our cloud gaming services. This position is vital in ensuring seamless and engaging user experiences, driving business growth and customer satisfaction. Key Responsibilities & Day-to-Day Tasks: Your responsibilities will include analyzing user behavior, developing predictive models, collaborating with cross-functional teams, designing experiments, and implementing data-driven solutions. You will work on projects such as game performance optimization, latency reduction, and personalized recommendations. Daily tasks will involve data analysis, weekly meetings with stakeholders, and monthly progress updates. Required Qualifications & Experience: You should have a master's degree in Computer Science, Statistics, or a related field, with at least 5 years of experience in data science. You must possess skills in programming languages like Python, R, or SQL, and experience with cloud-based technologies. Industry knowledge of gaming and cloud computing is required. Preferred Qualifications & Nice-to-Haves: Additional skills in machine learning, data visualization, and cloud architecture would be beneficial. Experience with Agile development methodologies and knowledge of DevOps practices is also desirable. Skills & Competencies: You should be proficient in technical skills like data analysis, statistical modeling, and data visualization. Soft skills like communication, collaboration, and problem-solving are essential. Company Information & Culture: Netflix is a leading provider of streaming services, with a mission to entertain and inspire audiences worldwide. Our company culture values innovation, creativity, and teamwork. Benefits, Compensation & Perks: We offer a competitive salary range, comprehensive health benefits, and retirement plans. Additional perks include paid time off, remote work options, and professional development opportunities. Growth Opportunities & Next Steps: You will have opportunities for career advancement and professional growth. To apply, please submit your resume and a cover letter through LinkedIn.