Senior Data Scientist, GMAC Economics

Key Skills

Java Programming, Analytical and Problem solving, Design, Python Programming, SQL, AWS, Scala Programming, Machine learning techniques, Data Mining, Keras software library, MATLAB Programming, TensorFlow, R Programming, Amazon RedShift, AWS Sagemaker, Amazon Simple Storage Service (S3), SAS, Statistical modeling, Terabyte scale datasets, Data Analysis

Job Description

Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contributes to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of videos. The Prime Video Economist team is looking for a Senior Data Scientist to support strategic projects in the Amazon Video business. Amazon Video provides value to our customers as both a key Prime membership benefit and separately as a retail outlet for digital downloads and streams of top TV and Movie titles.

As an data scientist focusing on Amazon Video, you will be responsible for understanding the value that the business creates for our customers and to develop new, disruptive innovations to grow global Prime Video usage and customer value. This role requires an individual with strong quantitative modeling skills and the ability to apply statistical, econometric, and ML methods to large amount of individual level data. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.

Key job responsibilities

• Build scalable analytic solutions using state of the art tools based on large datasets
• Build econometric models, conduct statistical/machine learning analyses, or design experiments to measure the value of the business and its many features
• Partner closely with Business, Finance, Science, and Tech partners to build prototypes and implement production solutions
• Independently identify new opportunities for leveraging economic insights and models in the Video business
• Develop and execute product workplans from concept, prototype to production incorporating feedback from customers, scientists and business leaders
• Write both technical white papers and business-facing documents to clearly explain complex technical concepts to audiences with diverse business/scientific backgrounds

BASIC QUALIFICATIONS

• 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 4+ years working as a Data Scientist
• Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, Physics, Statistics, Economics or a related field
• Experience with data mining and analytics techniques
• Experience with various machine learning/statistical modeling data analysis tools and techniques (e.g. sklearn, tensorflow, or keras), and parameters that affect their performance
• Experience in programming in R, Python, Scala or similar languages and maintaining code repositories in git
• Experience with data visualization and presentation, turning complex analysis into insight

PREFERRED QUALIFICATIONS

• Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools
• Experience collaborating with software development teams, data scientists, business intelligence or other technical roles
• Excellent communication
• Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic environment
• Experience with AWS features (S3, Redshift, Sagemaker)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.