About the Role

Senior Data Scientist role at AWS focusing on applying Generative AI and machine learning to solve real-world problems in the Media & Entertainment industry. You will collaborate with teams to design, develop, and evaluate AI algorithms, work directly with customers to implement solutions, and create best practices and educational content.

Key Responsibilities

• Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate modern generative AI algorithms and build ML systems
• Interact with customers directly to understand business problems, aid in implementation of generative AI solutions, and guide adoption patterns
• Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations for stakeholders
• Provide customer and market feedback to Product and Engineering teams to help define product direction
• Design and run experiments, research new algorithms, and optimize risk, profitability, and customer experience

Required Skills & Qualifications

Must Have:

• Experience with statistical models e.g. multinomial logistic regression
• Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• 5+ years of data scientist experience
• 10 years Media and Entertainment Experience

Nice to Have:

• Experience as a leader and mentor on a data science team
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
• Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
• Experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience

Benefits & Perks

• Work-life harmony with flexibility as part of working culture
• Inclusive team culture with employee-led affinity groups and learning experiences
• Mentorship and career growth resources
• Total compensation including equity, sign-on payments, and benefits
• Geographic market-based base pay ranging from $143,300 to $247,600 per year