Description
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree
- Speak, write, and read fluently in Japanese
- Speak, write, and read fluently in English
- ML Python skills (scikit-learn
- scipy, pytorch / keras / tensorflow, prophet, XGboost), Python optimization libraries (xpress)
- Be able to interpret coefficients from regression models in language that is not mathematical, be familiar with the various probability distributions and how to transform them into others and comfortable modelling.
- Be able to explain how things your business partners control impact whatever result they are trying to measur.
The Data Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, create analyses, carry over solutions from other regions, and find new ways to improve last mile analytics to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. They also work on cross-disciplinary efforts with other scientists within Amazon.
LMEA Science is requested on regular basis to conduct advanced analyses or to carry over "science" solutions built by DS I or BIE II or III from other regions. These solutions are not complex enough to justify a data scientist with a lot of experience to work on it. However, these requests are the perfect fit for a new graduate as part of their ramp up, getting use to Amazon environment and within DS I role guideline.
Key job responsibilities
Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Amazon Scientist use our working backwards method to enrich the way we live and work.
A day in the life
Come teach us a few things, and we’ll teach you a few things as we navigate the most customer-centric company on Earth.
- Speak, write, and read fluently in Japanese
- Speak, write, and read fluently in English
- ML Python skills (scikit-learn
- scipy, pytorch / keras / tensorflow, prophet, XGboost), Python optimization libraries (xpress)
- Be able to interpret coefficients from regression models in language that is not mathematical, be familiar with the various probability distributions and how to transform them into others and comfortable modelling.
- Be able to explain how things your business partners control impact whatever result they are trying to measur.
The Data Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, create analyses, carry over solutions from other regions, and find new ways to improve last mile analytics to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. They also work on cross-disciplinary efforts with other scientists within Amazon.
LMEA Science is requested on regular basis to conduct advanced analyses or to carry over "science" solutions built by DS I or BIE II or III from other regions. These solutions are not complex enough to justify a data scientist with a lot of experience to work on it. However, these requests are the perfect fit for a new graduate as part of their ramp up, getting use to Amazon environment and within DS I role guideline.
Key job responsibilities
Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Amazon Scientist use our working backwards method to enrich the way we live and work.
A day in the life
Come teach us a few things, and we’ll teach you a few things as we navigate the most customer-centric company on Earth.
Other Jobs from Amazon
Sr. Security Engineer, Offensive Security Penetration Testing
Remote
Seattle, WA
Software Development Engineer , Project Kuiper
Redmond, WA
US
Systems Development Engineer, Amazon eCommerce Services TEA
Seattle, WA
US
Strategic Partner Alliance Manager - Data, Analytics and ML, AMER Technology Partnerships
Seattle, WA
New York, NY
Project Manager, GES Startup, Global Engineering Services (GES) Startup
Remote
New York, NY
Finance Manager, AWS Hardware Engineering Finance
Seattle, WA
US
Similar Jobs
Machine Learning Engineer 4 - Computer Vision / Graphics
Bengaluru, India
Senior Data Scientist
Pune, India
Machine Learning Engineer
LATAM
Portugal
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
- The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
- Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
- We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
- We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
- From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
- We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
- If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
- EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.
What Fellow Engineers Say