Senior Data Scientist

Short Description

Amazon is hiring for Senior Data Scientist who will manage and understand the customer's business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances.

Job Description

Responsibilities:
  • Understand the customer's business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances.
  • Assist customers by being able to deliver an ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
  • Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models.
  • Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.
  • Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
  • Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.
  • Assist customers with identifying model drift and retraining models.
  • Research and implement novel ML and DL approaches, including using FPGA.

Basic Qualifications:
  • A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
  • 7+ years of industry experience in predictive modeling, data science, and analysis
  • Previous experience in an ML or data scientist role and a track record of building ML or DL models
  • Experience using Python and/or R
  • Knowledge of SparkML.
  • Able to write production level code, which is well-written and explainable.
  • Experience using ML libraries, such as scikit-learn, caret, mlr, mllib.
  • Experience working with GPUs to develop models.
  • Experience handling terabyte size datasets.
  • Track record of diving into data to discover hidden patterns.
  • Familiarity with using data visualization tools.
  • Knowledge and experience of writing and tuning SQL.
  • Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
  • Experience giving data presentations.
  • Extended travel to customer locations may be required to deliver professional services, as needed.
  • Strong written and verbal communication skills.

Preferred Qualifications:
  • Ph.D. in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
  • 8+ years of industry experience in predictive modeling and analysis.
  • Good skills in programming languages, such as Java or C/C++.
  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.
  • Consulting experience and track record of helping customers with their AI needs.
  • Publications or presentation in recognized Machine Learning, Deep Learning, and Data Mining journals/conferences.
  • Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR.
  • Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customerĂ¢??s organization.
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.

Senior Data Scientist
Mid-Senior-level Technology | Information Technology | Information Full-time Information Technology | Engineering | Other Data Scientist | Data Science
Amazon.com, Inc. is an American electronic commerce and cloud computing company that was founded on July 5, 1994 by Jeff Bezos and is based in Seattle, Washington. The tech giant is the largest Internet-based retailer in the world by total sales and market capitalization. Amazon.com started as an online bookstore and later diversified to sell DVDs, Blu-rays, CDs, video downloads/streaming, MP3 downloads/streaming, audiobook downloads/streaming, software, video games, electronics, apparel, furniture, food, toys, and jewelry. The company also produces consumer electronics notably, Kindle e-readers, Fire tablets, Fire TV, and Echo and is the world's largest provider of cloud infrastructure services (IaaS and PaaS). Amazon also sells certain low-end products like USB cables under its in-house brand AmazonBasics.