Data Scientist

- 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.
- Design/definition of KPIs.

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 Senior 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!

About the team
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Early Career Talent
When you join Amazon Web Services as a student or recent graduate, you’ll have the chance for your voice to be heard and amplified. That’s because our teams are looking to learn as much from you as you’ll learn from them. Whether you’re graduating with a high school or equivalent diploma, associate degree, bachelor’s degree, MBA, or PhD, we offer a range of early career opportunities across the globe.

- Masters or Ph.D. Degree in a quantitative field.
- Strong analytic and problem-solving skills.
- Ability to drive cross-team and cross-disciplinary activities.