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Remote Amazon Data Science Jobs (NOW HIRING)

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... com, Amazon Connect Preferred Education: * Master's degree in Computer Science, Data Science ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... com, Amazon Connect Preferred Education: * Master's degree in Computer Science, Data Science ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... in Data Science * Professional experience with, and more than a basic understanding of AI ...

DocuSign

Product Data Science Intern

Seattle, WA · On-site +1

What you'll do Docusign's Product Data Science team is looking for a Data Scientist Intern to ... Employee divides their time between in-office and remote work. Access to an office location is ...

PortPro

Data Scientist

New York, NY · Remote

Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop, Spark ...

PortPro

Data Scientist

New York, NY · On-site +1

Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop, Spark ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Engine

Manager, Data Science

$169K - $235K/yr

Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ... Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

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Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

More about Remote Amazon Data Science jobs
What cities are hiring for Remote Amazon Data Science jobs? Cities with the most Remote Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
What states have the most Remote Amazon Data Science jobs? States with the most job openings for Remote Amazon Data Science jobs include:
What job categories do people searching Remote Amazon Data Science jobs look for? The top searched job categories for Remote Amazon Data Science jobs are:
Remote Amazon Data Science jobs near you
Infographic showing various Remote Amazon Data Science job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Data Scientist, Data Science Team

Data Scientist, Data Science Team

College Board

Remote

Full-time

Posted 17 days ago

Job description

College Board - Technology Division
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).
Type: This is a full-time position
About the Team
The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small tight knit self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization's strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.
About the Opportunity
As a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savvy, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.
In this role, you will
Develop machine learning applications (40%)
  • Design and implement high quality software using the latest and greatest cloud and machine learning technologies
  • Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality
  • Help identify and build major components of complex machine learning models
  • Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
  • Build functions, APIs, and data stores to make predictions and analyses accessible to other systems

Data exploration, analysis, and prototyping (40%)
  • Create insights from existing data and drive the collection of new data
  • Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations
  • Create reproducible, documented analyses and models that lend themselves to automation

Team Operations & Success (20%)
  • Help the team break down the work into manageable tasks and support our Agile maturity
  • Substantially improve the team's productivity and quality by enhancing tools, processes, and code structure
  • Advise other teams on Machine Learning projects and assist with establishing Machine Learning governance
  • Assist in the identification and resolution of production issues

About you, you have:
  • Ideally a Master's in a quantitative discipline or computer science, or a Bachelor's and 2-3 years related experience, or 3+ years related experience.
  • Programming expertise in Python (Pandas)
  • Experience in data and statistical analysis
  • Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
  • Experience with SQL and NoSQL databases.
  • A passion for solving difficult problems creatively.
  • Excellent communication and listening skills, and are able to help others understand both problems and solutions.
  • The ability to tell a story with your data.
  • Worked within a close knit team and enjoy helping your colleagues succeed
  • Knowledge in CI/CD, DevOps and Agile
  • Knowledge in developing applications on an Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)

For all roles at College Board:
We are seeking individuals who are passionate about expanding educational and career opportunities and committed to mission-driven work. Candidates must be authorized to work in the United States for any employer and should possess clear and concise communication skills, both written and verbal. Proficiency in Microsoft Suite tools is preferred, though a willingness to learn is equally valued. We look for those with curiosity and enthusiasm for emerging technologies, particularly AI-driven solutions, and a proactive approach to independently learning and applying new digital tools. Most importantly, applicants should demonstrate the skills and mindsets aligned with College Board's Operating Principles, reflecting a commitment to continuous growth, collaboration, and impact, notably:
  • A commitment to candid, timely, respectful feedback
  • A learner orientation and an openness to ideas and diverse perspectives
  • The ability to push for excellence through data-informed decision-making, iterative learning, external benchmarking and user-inputs
  • Strong problem-solving skills, including the ability to break down complex issues and identify clear paths forward
  • A track record of prioritizing high-impact work, simplifying complexity, taking initiative, and making decisions quickly with clarity of purpose
  • A habit of collaborating across differences, practicing empathy, and contributing to a culture of trust and shared success

About Our Process
  • Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.
  • While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.

What We Offer
At College Board, we offer more than just a paycheck-we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
  • The hiring range for this role is $135,000-$163,000.
  • Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
  • We aim to make our best offer upfront, rooted in fairness, transparency, and market data.
  • We adjust salaries by location to ensure fairness, no matter where you live.

You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more.
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