Senior Data Scientist , Managed Operations Data Science (MODS)

Key Skills

Amazon RedShift, AWS, Big Data Technology, MATLAB Programming, Perl Programming, Python Programming, R Programming, R-Shiny, SAS, Spark-SQL, SQL, Tableau

Job Description

The AWS Managed Operations Data Science (MODS) Team is looking for a Senior Data Scientist to lead the research and thought leadership to drive our data and insight strategy for AWS. You will develop sophisticated algorithms that involve learning from large amounts of data. You will be responsible for researching, experimenting and analyzing predictive and optimization models.

You will provide to engineers, direction on technology strategy in data management, insights and Machine learning that will form the nucleus of providing data and insights as a service to our customers. You will work on ambiguous and complex business and research science problems with large opportunities. You are and comfortable working with cross-functional teams and systems.

This position requires that the candidate selected be a US Citizen.

Key job responsibilities

• Interact with business and software teams to understand their business requirements and operational processes
• Frame business problems into scalable solutions
• Adapt existing and invent new techniques for solutions
• Create and track accuracy and performance metrics
• Gather data required for analysis and model building
• Prototype models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.
• Interview, mentor, and develop scientists and engineers across the organization
• Create, enhance, and maintain technical documentation

A day in the life

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

We are dedicated to supporting our new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

About the team

The MODS team is driven by a shared vision of achieving operational excellence through data analytics and machine learning. We provide actionable insights to allow our stakeholders to manage operational posture and operator experience and drive sustainable, safe, and efficient operations.

We define, monitor, and predict metrics to provide recommendations on AWS operations that are diagnostic (why something happened), predictive (what will happen) and prescriptive (best course of action) in nature.

We are a customer obsessed team driving lean operations in all of AWS through actionable insights and data strategies that drive process improvement.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Herndon, VA, USA

BASIC QUALIFICATIONS

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression

PREFERRED QUALIFICATIONS

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team
• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company
• Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.
• Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
• Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
• Experience with Big Data tools such as Redshift, EMR, Spark, etc...
• Experience building new products and services from the ground up.
• Strong communications skills; you will be required to proactively engage fellow Amazonians both inside and outside of your team
• Experience with distributed (multi-tiered) systems, algorithms, and relational databases.
• Ability to effectively articulate technical challenges and solutions.
• Deal well with ambiguous/undefined problems; ability to think abstractly.
• Ability to synthesize requirements underlying feature requests, recommend alternative technical and business approaches, and facilitate engineering efforts to meet aggressive timelines.
• Expertise in software processes, web services, multi-tiered systems, and enterprise application integration.
• Meets/exceeds Amazon’s leadership principles requirements for this role
• Meets/exceeds Amazon’s functional/technical depth and complexity for this role