Offers “Amazon”

Expires soon Amazon

Technical Program Manager - Data Science

  • Seattle (King County)
  • Project / Product management

Job description

DESCRIPTION

The product catalog is a strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a huge selection across a large number of categories and positions Amazon as the first stop for shopping online. We are looking for a technical program manager with expertise in machine learning to drive the roadmap of our data science products and help us make the world's best product catalog even better and improve the experience for millions of customers.

In this role, you will manage data science projects that analyze how information within Amazon's catalog affects our customers and help devise short term and long term strategy for expanding and enhancing the catalog. You will collect business requirements, define projects, write functional and technical specifications, drive software development efforts and manage priorities for project/program completion. You will coordinate with partnering teams both upstream to acquire data that we need to experiment and downstream to move successful models into production system. You will create schedules, identify and communicate risks to stakeholders, define risk mitigation strategies, and facilitate appropriate software engineering solutions.

You will have the opportunity to design new data analytical workflows at a scale rarely available elsewhere, utilizing state-of-the-art data science and machine learning tools such as Spark, Python, scikit-learn, Theano, MXNet, Tensorflow, xgboost and Amazon's cloud computing technologies such as Elastic Map Reduce (EMR), Kinesis, and Redshift. You will work with a team of scientists that creative innovative algorithmic solutions that combining techniques like clustering, pattern mining, predictive modeling, deep learning, statistical testing, information retrieval, and natural language processing and apply them to huge data amounts of data describing the products in the catalog and the customer interactions.

You will encounter many challenges, including
· scale (build models for billions of products in the catalog utilizing trillions of customer interactions),
· accuracy (extreme requirements for precision or recall due to impact of getting it wrong, e.g. extremely high precision for merging identical products or extremely high recall for identifying hazardous materials)
· speed (generate predictions for millions of new or changed products with low latency),
· diversity (products need to be classified into >100k's of categories across 16 languages),
· high dimensionality (feature engineering and selection using 1k's of structured product features with millions of values, unstructured product data, product images, customer searches, clicks, reviews, etc.), and
· noise (build models robust to varying quality of data provided by millions of sellers and labels derived implicitly or collected from humans).
You will translate business requirements to machine learning problems, develop the long-term strategy for your program and an achievable short term road map to deliver incremental progress. You will report project status to management and build and maintain inter team relationships on your team's behalf.

Desired profile

BASIC QUALIFICATIONS

·
· Master's Degree in Computer science (Machine Learning, Data Mining, Statistics).
· Professional experience in software development (software design and development life cycle).
· Able to formulate complex SQL queries and experience working with Business Intelligence tools.
· Good knowledge of scientific programming in scripting languages like Python/R/Matlab.
· Ability to distill informal business requirements into problem definitions, dealing with ambiguity and competing objectives.
· Ability to handle multiple competing priorities in a fast-paced environment

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