Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...
Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...
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... science team responsible for improving price discovery across Amazon shipping, measuring the impact of model implementation, and defining a roadmap for improvements and expansion of the models into ...
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Amazon internships across all seasons are full-time positions, and interns should expect to work in ... By applying to this position, your application will be considered for all Tech Ops Engineer Intern ...
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Data Science and Analytics Intern
Roseland, NJ · Remote
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Position: Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 hourly (Minimum 20 hours per week) Location & Job Type: United States, Remote/Hybrid ...
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Be Seen First
Data Science and Analytics Intern
Roseland, NJ · Remote
$15.92 - $17/hr
Position: Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 hourly (Minimum 20 hours per week) Location & Job Type: United States, Remote/Hybrid ...
Data Science / Analytics Intern - Technology Solutions Syneos Health ® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with ...
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The candidate in this role will own delivery of science products and solutions to help Amazon ... We are looking for an innovative, hands-on and customer-obsessed Data Scientist who can be a ...
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This role focuses on leveraging data science, advanced analytics, and AI (including LLMs such as ChatGPT) to drive measurable business value across the organization. The Value Office identifies and ...
This role focuses on leveraging data science, advanced analytics, and AI (including LLMs such as ChatGPT) to drive measurable business value across the organization. The Value Office identifies and ...
Data Science Intern
Houston, TX · On-site
This role focuses on leveraging data science, advanced analytics, and AI (including LLMs such as ChatGPT) to drive measurable business value across the organization. The Value Office identifies and ...
Data Science Intern
Houston, TX · On-site
This role focuses on leveraging data science, advanced analytics, and AI (including LLMs such as ChatGPT) to drive measurable business value across the organization. The Value Office identifies and ...
Intern Amazon Data Science information
See salary details
$8.89 - $10.29
3% of jobs
$10.29 - $11.69
3% of jobs
$11.69 - $13.09
3% of jobs
$13.09 - $14.49
9% of jobs
$14.94 is the 25th percentile. Wages below this are outliers.
$14.49 - $15.89
21% of jobs
The median wage is $16.47 / hr.
$15.89 - $17.29
26% of jobs
$18.39 is the 75th percentile. Wages above this are outliers.
$17.29 - $18.68
13% of jobs
$18.68 - $20.08
12% of jobs
$20.08 - $21.48
4% of jobs
$21.48 - $22.88
3% of jobs
$22.88 - $24.28
3% of jobs
$8
$17
$24
How much do intern amazon data science jobs pay per hour?
What is the difference between Intern Amazon Data Science vs Intern Amazon Software Development Engineer?
| Aspect | Intern Amazon Data Science | Intern Amazon Software Development Engineer |
|---|---|---|
| Required Skills | Data analysis, statistical modeling, machine learning, programming in Python/R | Software development, coding in Java/C++, system design |
| Work Environment | Data analysis projects, modeling, research | Application development, coding, debugging |
| Common Usage | Data-driven decision making, predictive modeling | Building and maintaining software systems |
Intern Amazon Data Science focuses on analyzing data, building models, and deriving insights, while Intern Amazon Software Development Engineer emphasizes coding, developing, and maintaining software applications. Both roles require programming skills but differ in their core tasks and project focus.
Part-time
Posted 22 days ago
Job description
At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role OverviewThe Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
ResponsibilitiesBuild and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.
Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.
Collaborate closely with data science, product, and engineering teams to integrate models into production systems.
Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.
Support continuous model optimization and validation efforts.
Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.
Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.
Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.
Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.
Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.
Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.
Prior exposure to recommendation algorithms or matching systems through coursework or projects.
Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).
Previous internship or project experience demonstrating practical data science applications.
Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.
Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.
Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.
Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.
Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.