- UpvoteDownvoteShare Job
- Suggest Revision
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people.
$125,500 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Minimum four year college degree in a health and safety, physical science, related field or equivalent experience in health and safety management. Join the world class safety culture at Amazon Web Services (AWS) and be part of supporting the largest cloud computing infrastructure team as a Regional Safety Engineer.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Conduct health and safety audits of data centers and active construction sites to ensure compliance with health and safety requirements as well as life safety requirements. - Maintain adequate safety record keeping and data integrity.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Shopping Core Foundations Science team is looking for a Senior Data Scientist in the mission to evaluate and improve LLM-based CXs. Experience as a leader and mentor on a data science team.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
This may require engagement across Amazon teams (e.g. Prime Video, Studios, Twitch) as well as subject matter experts from external vendors (such as Nielsen, ComScore, Samba, Gartner) and advertising partners and customers.
$142,300 - $235,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Together with Data Engineering and Data Science we support Amazon's entire portfolio of live and upcoming games. We are seeking an experienced Data Scientist to join our dynamic team in developing cutting-edge models and applying AI methods to enhance our video game products.
$125,500 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You will collaborate with fellow language engineers, program managers, as well as stakeholders in science, engineering, and product teams to understand the role data plays in developing models that meet customer needs.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Amazon Games applies the principles of Amazonian culture to the world of game design. At Amazon Games, we’re creating compelling games like New World, a sandbox MMO set on a supernatural continent, as well as several - as of yet - undisclosed titles.
$125,500 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The AWS Sales Insights, Analytics, Data Engineering and Science (SIADS) Startup team is looking for a talented, driven, self-directed Senior Insights Product Manager to join an organization that is responsible for driving adoption of the AWS platform by startups around the world.
$124,500 - $206,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Flask, Dash, etc to build Data science tool. Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams. Experience designing and executing psychology/linguistic/cognitive science surveys or experiments with human participants.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Partner with the science team to operationalize new data pipelines, identifying opportunities to scale science work, and promote data best practices. Basic understanding of geophysics (weather, climate, earth science.
$139,100 - $240,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Measurement and Data Science team delivers campaign measurement and reporting across Amazon Advertising business and serves as the scientific center of excellence for algorithm development in campaign measurement.
$161,900 - $279,900 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Work with business stakeholders, product managers, data scientists, and engineers to translate business problems into the right machine learning, data science, and/or statistical solutions.
Full-timeExpandApply NowActive JobUpdated 12 days ago
science job Title: data Company: Amazon in CT, Canada
FEATURED BLOG POSTS
Minimizing Candidate Renegs During the Hiring and Onboarding Process
Candidates reneging on job offers or during the onboarding process can be a frustrating experience for any recruiter. In a talent-driven job market, it’s common for candidates to have more than one job offer to consider. It becomes a race against time to see which organization can offer the best career experience, compensation, and circumstances that secure the right employees.
10 Reasons to Be on Time at Work
Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
10 Importancies of Setting Realistic Goals
We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!