Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Data Scientist Mid-Level

AmazonArlington - On-Site

Posted 3 months ago🏛️ On-SiteMid-LevelData Scientist📍 Arlington💰 $25,000 - $25,000 / yearly
Apply Now →

Overview

Amazon is hiring a Data Scientist II for the AWS Managed Operations Data Science team to drive data-driven transformation. You'll work with tools like AWS, Apache Spark, and Hugging Face to tackle complex business problems. This position requires experience in the end-to-end data science lifecycle.

Job Description

Who you are

You have a strong background in data science, with experience in the end-to-end data science lifecycle including data exploration, ETL, model development, and data visualization. You are comfortable leveraging a diverse set of tools and technologies to tackle complex business problems, and you have a solid understanding of analytical frameworks such as Apache Spark and Airflow. Your expertise in AI frameworks like Hugging Face allows you to contribute to innovative solutions that drive business impact.

You thrive in a collaborative environment and are passionate about building, owning, and operating scalable systems. You understand the importance of data-driven decision-making and are eager to lead research initiatives that shape the technology strategy of the Managed Operations organization. Your analytical mindset and problem-solving skills enable you to provide valuable insights that influence operational efficiency.

What you'll do

In this role, you will be responsible for driving data-driven transformation across the AWS Managed Operations organization. You will lead research efforts to develop insights that inform strategic decisions and improve operational performance. Your responsibilities will include managing the end-to-end data science lifecycle, from data exploration and ETL processes to model development and visualization. You will collaborate with cross-functional teams to identify opportunities for leveraging data to enhance AWS services and operations.

You will utilize your expertise in various tools and technologies to analyze large datasets, develop predictive models, and create visualizations that communicate findings effectively. Your work will directly impact the availability, reliability, and efficiency of AWS regions, making a significant contribution to the overall success of the organization. You will also mentor junior data scientists and contribute to the continuous improvement of data science practices within the team.

What we offer

Amazon provides a comprehensive benefits package, including competitive compensation, equity options, and a full range of medical and financial benefits. You will have the opportunity to work in a dynamic environment where innovation is encouraged, and your contributions will have a direct impact on the success of AWS. We value diversity and inclusion and encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of cloud computing and making a billion-dollar impact.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Amazon.