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After School Behavioral Data Science Jobs (NOW HIRING)

Mad Science

PART-TIME After-School Instructor

Denver, CO · On-site

$25 - $33/hr

At Mad Science, we are having a blast! We pay you to have fun! Build and fly rockets, demonstrate ... Facilitating a one-hour after-school science enrichment program using a pre-set, easy-to-understand ...

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After School Behavioral Data Science information

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$18

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How much do after school behavioral data science jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for after school behavioral data science in the United States is $58.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $66.11 per hour, depending on experience, location, and employer.

What is the difference between After School Behavioral Data Science vs After School Behavioral Specialist?

AspectAfter School Behavioral Data ScienceAfter School Behavioral Specialist
CredentialsBackground in data science, statistics, or related fields; often requires a degree in data analysis or computer scienceBackground in psychology, education, or social work; often requires certification or licensure in behavioral support
Work EnvironmentPrimarily office-based or data analysis settings, collaborating with educators and administratorsDirect interaction with students, parents, and teachers in after-school programs
Employer & Industry UsageUsed by educational organizations, data firms, and research institutions to analyze behavioral dataEmployed by schools, community programs, and social service agencies to support student behavior

While both roles focus on supporting student behavior, After School Behavioral Data Scientists analyze behavioral data to inform programs and policies, whereas After School Behavioral Specialists work directly with students to address behavioral needs. The roles complement each other within educational and community settings, but differ in their focus and required skills.

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After School Behavioral Data Science jobs near you
Infographic showing various After School Behavioral Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $122,706 per year, or $59 per hour.

Data Scientist, Amazon Ads Marketing Decision Science

Amazon

New York, NY

Full-time

Posted 12 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Amazon Advertising drives billions of ad impressions and millions of clicks daily, powering discovery and sales for advertisers across Amazon's Retail and Marketplace businesses. The Ads Marketing Decision Science team sits at the intersection of data science and marketing strategy. We build intelligent, data-driven systems that analyze advertiser behavior at large scale to deliver the right guidance to the right advertiser at the right time.

Our work spans behavioral modeling, content intelligence, automated decision systems, and GenAI applications, enabling personalized marketing experiences that help advertisers make smarter advertising decisions and grow their business on Amazon.
We are looking for a Data Scientist who brings strong fundamentals in machine learning, causal inference, and statistical modeling to solve real advertiser problems. You will build predictive models, design experiments, develop segmentation frameworks, and leverage GenAI capabilities where applicable, taking solutions end-to-end from proof-of-concept to production at scale. You will partner closely with scientists, engineers, and product managers on a daily basis to prototype rapidly, ensure data integrity in production systems, and deliver measurable advertiser impact

If you are passionate about solving real-world problems with next level science, come join us as we innovate and make history.
Key job responsibilities
Define and execute data science solutions end-to-end, from problem framing through production deployment.
Build machine learning models (classification, regression, clustering, ranking) for advertiser segmentation, propensity modeling, and recommendations.
Apply causal inference and experimentation methods (A/B testing, difference-in-differences, propensity score matching) to measure the impact of marketing interventions.
Analyze large-scale advertiser behavioral data to identify trends, surface growth opportunities, and support optimal decision making.
Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.
Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.
Leverage GenAI and LLM capabilities to enhance science products where applicable
A day in the life
You will solve real-world problems by analyzing large volumes of advertiser data, building predictive models, designing experiments, and measuring business impact. You will prototype rapidly, validate ideas with data, and partner with engineers to productize and scale successful solutions. You will collaborate daily with scientists, engineers, and product managers across the advertising organization, working in a cross-functional, fast-paced environment where data drives decisions and helps advertisers grow.
About the team
We are a team of Applied Scientists, Research Scientists, Data Scientists, and Business Intelligence Engineers with deep expertise in ML, NLP, Gen-AI, RL, and causal inference, from a diverse range of backgrounds

We partner closely with strong engineers, product managers, and sales leaders who bring ads-industry depth and experience building scalable modeling and software solutions.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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