Data Scientist - IMDb, IMDb

Key Skills

Java Programming, Python Programming, SQL, AWS, Machine learning techniques, Deep Learning, MATLAB Programming, Natural Language Processing (NLP), Tableau, R Programming, Amazon RedShift, Amazon EMR, AWS Sagemaker, Amazon Simple Storage Service (S3), SAS, Data pipelines, Large data sets

Job Description

Do you love leveraging the power of big data to improve the lives of your customers? Do you have a passion for movies and TV? If so, IMDb is the place for you! With over 200 million monthly users, IMDb is the world’s most trusted source for movies, TV, and celebrities. We sit at the unique intersection of entertainment, media, and technology, inside the world’s most innovative and customer-centric company – Amazon.com. The data and insights our team provides powers all IMDb properties and feeds directly into the Amazon flywheel. IMDb employees enjoy the best of both worlds, all the benefits and resources of Amazon with the autonomy and impact of a small, nimble team.

We are looking for a creative and highly skilled Data Scientist to expand the impact big data can have on the lives of our customers. You will help build predictive models, optimization algorithms, and customer behavioral segments which feed directly into our growing set of personalization efforts, used daily by millions of entertainment fans across the globe. You will be responsible for combining large datasets in unique ways, across multiple systems, to discover actionable patterns in user behavior. You will then transform those insights into scalable, automated workflows used to power our personalized watch recommendations, programmatic ad targeting systems, and customized user experiences across our growing suite of consumer product offerings. Leveraging machine learning, A/B testing, and statistical analysis you will refine your models and workflows, increasing scale and accuracy along the way. You will work collaboratively with business, tech, and science stakeholders from across the company, leveraging advanced analytical techniques, to create scalable solutions to solve hard business problems. This is a rare opportunity to join the team empowered to harness the power of big data to enrich the lives of our customers.

BASIC QUALIFICATIONS

• Bachelor's Degree
• 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 2 years working as a Data Scientist

PREFERRED QUALIFICATIONS

• Master’s degree in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
• 4+ years of experience working as a Data Scientist
• Knowledge and practical experience in several of the following areas: machine learning, recommendation systems, deep learning, natural language processing (NLP), statistics, and information retrieval
• Experience using AWS technologies such as SageMaker, Redshift, S3, EMR and data pipelines and scaling models into production
• Comfortable handling large sets (10M+ rows) of structured and unstructured data in a business environment
• Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Proficiency with Tableau or other web based interfaces to create graphic-rich customizable plots, charts data maps etc.
• Strong verbal and written communication skills, ability to convey mathematical concepts and considerations to non-experts.

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