Description

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

Annapurna Labs, as part of AWS, is looking for a talented Business Intelligence Engineer (BIE)/Data Scientist to join the Annapurna System team and develop solutions that raise the quality bar for AWS data centers and directly improve customer experience.

This position provides the opportunity to be at the forefront of large-scale data center technologies, working on some of the most difficult problems in the industry, with the industry’s finest developers and business leaders, to shape data center operation and impact future products.

What You Will Do

As Data Scientist, you will analyze massive data sets of technical and business data, identify aspects/areas to improve, define/implement measurement metrics, build models to predict issues and optimize operational-service, and work with various stakeholders to drive gradual improvements. You will work closely with internal teams to extract/mine information from our existing systems, in order to create new analyses, build analytical products, and drive BIE-related observations/mindset to the technical domains.

You will be the expert for this new domain, defining tools, methodology, and goals.

You will interface and interact with various engineering teams related to the development and operation of hardware, software, infrastructure, and services. You will understand their concerns and pain, and you will lead analysis, driving tools/projects, proposing improvements, and monitoring the results.

As a domain expert you will be independent, self-managed, and biased for delivering results. You will drive the implementation of efficient, systematic, automated, scaling analytical tools through hands-on work and close interactions with the hardware/software domains. You will be working in a fast-pace environment that encourages collaborative and creative problem solving, enables taking calculated risks, and welcomes constructive peer review.

We are looking for an expert with a flair for recognizing trends and patterns, while correlating it to business needs and driving practical actions. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address a challenge and the ability to influence others by using hard data (and some tact), then we are looking for you!

Why it matters: Amazon has thousands of unique services, both big and small, which power the retail website (amazon.com), Amazon Web Services, Echo, Kindle, Amazon Instant Video, and more. These services run on millions of servers deployed around the globe, where customer experience is constantly being monitored and improved. We are continually and quickly deploying new, innovative hardware/software and tools around the world. Your work will be instrumental in ensuring Amazon’s commitment to customer satisfaction, and in affecting development, integration, operation teams and customers around the world.

Why you will love it: Your work will be broad scale, involving cutting-edge technologies. You will be the one who defines the tools and methodologies. You will have exposure to teams and leaders across the entire company. You will be part of a leading-edge research development team. You will see many aspects of Amazon business. You will have a direct impact on our bottom line and the ability to improve things for our developers. You will be part of a growing, fast-paced, fun team. You will have ownership and responsibility for defining and executing processes that deliver both savings and productivity for Amazon.

Basic Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
• 10+ years’ experience working as a BIE/Data scientist.
• Programing skills: Master in SQL, Basic skills in scripting: Python / Bash, etc.
• ETL – Extraction, transformation, and loading of data.
• Self-learning skills.
• Strong communication skills.
• Strong analytic and problem-solving skills.
• Design/definition of KPIs.
  
  

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.
• Ability to drive cross-team and cross-disciplinary activities.
  
  
  

Company - Annapurna Labs Ltd.

Job ID: A2819221