Hire Deeply Vetted AWS Cloud Data Science services Developer

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Trusted by Businesses

Nazar P., Data Scientist

Vinnitsa, Ukraine
Last Updated: 18 Aug 2023

- 0.5 years of experience - Data Scientist with a Machine Learning background - Upper-Intermediate English.

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AWS Cloud Data Science services

AWS Cloud Data Science services

Python

Python   0.5 yr.

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Atilla B., Senior Data Scientist

Cyprus
Last Updated: 18 Aug 2023

- 6 years of experience - Senior Data Scientist with specialization in Machine Learning and Computer Vision - Advanced English.

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AWS Cloud Data Science services

AWS Cloud Data Science services   6 yr.

Python

Python   6 yr.

TensorFlow

TensorFlow   5.5 yr.

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Only 3 Steps to Hire AWS Cloud Data Science services Engineers

1
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Talents
Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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Henry Akwerigbe
Henry Akwerigbe
This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management. There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more. It gets even better because many projects even allow full remote from anywhere! Nice job to the Upstaff Team 🙌🏽.
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Владислав «Sheepbar» Баранов
Владислав «Sheepbar» Баранов
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Yanina Antipova
Хочу виразити велику подяку за таку швидку роботу по підбору двох розробників. Та ще й у такий короткий термін-2 дні. Це мене здивувало, адже ми шукали вже цілий місяць. І знайдені кандидати нам не підходили Це щось неймовірне. Доречі, ці кандидати працюють у нас і зараз. Та надать приклад іншим працівникам. Гарного дня!)
Наталья Кравцова
Наталья Кравцова
I discovered an exciting and well-paying project on Upstaff, and I couldn't be happier with my experience. Upstaff's platform is a gem for freelancers like me. It not only connects you with intriguing projects but also ensures fair compensation and a seamless work environment. If you're a programmer seeking quality opportunities, I highly recommend Upstaff.
Volodymyr
Volodymyr
Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in. Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

Hire AWS Cloud Data Science services Developer as Effortless as Calling a Taxi

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FAQs about AWS Cloud Data Science services Development

How do I hire a AWS Cloud Data Science services developer? Arrow

Are you desperately looking for a AWS Cloud Data Science services developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the AWS Cloud Data Science services Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find AWS Cloud Data Science services developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the AWS Cloud Data Science services guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff AWS Cloud Data Science services developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating AWS Cloud Data Science services candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire AWS Cloud Data Science services developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched AWS Cloud Data Science services Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet AWS Cloud Data Science services engineers in person. Make the right call. Bring a new AWS Cloud Data Science services developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote AWS Cloud Data Science services engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their AWS Cloud Data Science services skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire AWS Cloud Data Science services developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire AWS Cloud Data Science services developers. Upstaff has a network of vetted and tested AWS Cloud Data Science services developers. Here, you can hire web developers for a few simple coding tasks with AWS Cloud Data Science services.

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Table of Contents

How and where is AWS Cloud Data Science services used?

  • Customer Segmentation: Analyzing customer behavior
  • Recommendation Systems: Providing personalized recommendations
  • Anomaly Detection: Identifying unusual patterns in data
  • Forecasting: Predicting future trends
  • Sentiment Analysis: Understanding customer opinions
  • Image Recognition: Identifying objects in images
  • Churn Prediction: Predicting customer attrition
  • Supply Chain Optimization: Streamlining logistics processes
  • Fraud Detection: Identifying fraudulent activities
  • Healthcare Analytics: Improving patient care

Compare Junior, Middle, Senior, and Expert/Team Lead AWS Cloud Data Science services Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data collection and analysis
  • Develop basic data models
$60,000
Middle3-5 years
  • Implement data science algorithms
  • Optimize data pipelines
$85,000
Senior6-8 years
  • Lead data science projects
  • Provide technical guidance
$110,000
Expert/Team Lead9+ years
  • Architect data solutions
  • Mentor junior team members
$150,000

Quick Facts about AWS Cloud Data Science services.

  • Amazon Web Services (AWS) Cloud Data Science services Software Development was created in 2006.
  • The most popular project types that use AWS Cloud Data Science services Software Development are data analytics and machine learning.
  • The entry threshold to start using AWS Cloud Data Science services Software Development is having basic knowledge of cloud computing and programming.
  • The most popular related technology to AWS Cloud Data Science services Software Development is Apache Hadoop.
  • A fun fact about AWS Cloud Data Science services Software Development is that it offers over 175 fully featured services for various computing operations.

TOP AWS Cloud Data Science services Related Technologies

  1. AWS Glue
  2. AWS Lambda
  3. AWS Redshift
  4. AWS Sagemaker
  5. AWS Step Functions

What are top AWS Cloud Data Science services instruments and tools?

  • Amazon SageMaker: Machine learning service by AWS
  • AWS Glue: ETL service for data preparation
  • Amazon Redshift: Data warehouse by AWS
  • Amazon Quicksight: Business analytics service
  • Amazon Forecast: Time series forecasting service

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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager