Sr. Data Scientist - Worldwide Public Sector Team - Amazon.com (Methuen)
: $131,620.00 - $202,650.00 /year *
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Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest Public Sector customers derive business value through the adoption of Artificial Intelligence (AI)? Are you eager to build innovative solutions to solve hard problems, and enjoy collaborating with other equally talented team members? Thrilled to be key part of Amazon, which has been investing in Machine Learning for decades, pioneering and shaping the worlds AI technology?
Machine learning has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.
Amazon Web Services, the worlds leading provider of cloud computing services, is looking for Data Scientists to join the Worldwide Public Sector (WWPS) technical team. You will have opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and the cloud. You will be working with large data sets of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
Were looking for top ML data scientists capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for challenging problems.
The primary responsibilities of this role are to: Assist customers by being able to deliver a 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. Design, development and evaluation of highly innovative models for predictive learning, content ranking, and anomaly detection. Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes. Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms. Travel for face-to-face customer engagements, internal conferences, and industry events.
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 a 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
Strong written and verbal communication skills PhD 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 with 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 customers organization
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
. Meets/exceeds Amazons leadership principles requirements for this role
. Meets/exceeds Amazons functional/technical depth and complexity
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Associated topics: circuit, c++, computer engineering, computer science, informatic, machine learning, malware, radar, robotics, software engineer
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.