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Marketing jobs

21 marketing jobs

12 days ago

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science

Amazon Science

Seattle, WA (On-site)Full time$167K/yr – $249K/yr

2 weeks ago

Senior Applied Scientist, Applied AI Solutions GTM

Amazon Science

Dallas, TX (On-site)Full time$167K/yr – $226K/yr

3 weeks ago

Applied Scientist II, US Prime and Marketing Tech

Amazon Science

Seattle, WA (On-site)Full time$143K/yr – $193K/yr

5 weeks ago

Economist I, Prime Video Marketing Science, Prime Video Marketing Analytics

Amazon Science

Seattle, WA (On-site)Full time$129K/yr – $175K/yr

5 weeks ago

Economist, Ads Econ

Amazon Science

New York City, NY (On-site)Full time$129K/yr – $192K/yr

5 weeks ago

Applied Science Manager, Stores-Ads Science

Amazon Science

Seattle, WA (On-site)Full time$184K/yr – $249K/yr

7 weeks ago

Applied Scientist, Advertising, AMPI Measurement

Amazon Science

Seattle, WA (On-site)Full time$143K/yr – $193K/yr

1 month ago

Applied Scientist, Ads Measurement Science

Amazon Science

New York City, NY (On-site)Full time$172K/yr – $223K/yr

2 months ago

Principal Research Scientist, Amazon Ads, Ads Science Analysis & Tech (ASAT)

Amazon Science

New York City, NY (On-site)Full time$208K/yr – $282K/yr

2 months ago

Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment

Amazon Science

Seattle, WA (On-site)Full time$143K/yr – $193K/yr

2 months ago

Sr Applied Scientist, Digital Ads , Amazon Digital Advertising

Amazon Science

Seattle, WA (On-site)Full time$167K/yr – $249K/yr

2 months ago

Data Scientist, Advertising, AMPI Measurement

Amazon Science

Seattle, WA (On-site)Full time$136K/yr – $184K/yr

2 months ago

Manager, Data Science, Outbound Communications

Amazon Science

Seattle, WA (On-site)Full time$175K/yr – $237K/yr

2 months ago

Principal Economist, Ads Econ

Amazon Science

Seattle, WA (On-site)Full time$189K/yr – $282K/yr

3 months ago

Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)

Amazon Science

Seattle, WA (On-site)Full time$219K/yr – $296K/yr

3 months ago

Manager, Senior Economist, Marketing Measurement

Amazon Science

Seattle, WA (On-site)Full time$175K/yr – $237K/yr

3 months ago

Applied Scientist, Prime Video - Personalization and Discovery Science

Amazon Science

Seattle, WA (On-site)Full time$143K/yr – $222K/yr

3 months ago

Intern-Economics, WW Integrated Marketing Systems and Intelligence (WIMSI)

Amazon Science

New York, USA (On-site)Volunteer$129K/yr – $192K/yr

3 months ago

Research Scientist, Alexa Devices & Marketing

Amazon Science

Seattle, WA (On-site)Full time$136K/yr – $184K/yr

3 months ago

Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) Ads

Amazon Science

New York, USA (On-site)Full time$167K/yr – $260K/yr

All marketing roles in the US

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All marketing roles in the US

Get alerts for this search

21 jobs

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science

Amazon Science

Seattle, WA (On-site)

$167K/yr - $249K/yrIn-houseFull-timeSenior level

12 days ago

Senior Applied Scientist, Applied AI Solutions GTM

Amazon Science

Dallas, TX (On-site)

$167K/yr - $226K/yrIn-houseFull-timeSenior level

2 weeks ago

Applied Scientist II, US Prime and Marketing Tech

Amazon Science

Seattle, WA (On-site)

$143K/yr - $193K/yrIn-houseFull-timeMid level

3 weeks ago

Economist I, Prime Video Marketing Science, Prime Video Marketing Analytics

Amazon Science

Seattle, WA (On-site)

$129K/yr - $175K/yrIn-houseFull-timeEntry level

5 weeks ago

Economist, Ads Econ

Amazon Science

New York City, NY (On-site)

$129K/yr - $192K/yrIn-houseFull-timeSenior level

5 weeks ago

Applied Science Manager, Stores-Ads Science

Amazon Science

Seattle, WA (On-site)

$184K/yr - $249K/yrIn-houseFull-timeSenior level

5 weeks ago

Applied Scientist, Advertising, AMPI Measurement

Amazon Science

Seattle, WA (On-site)

$143K/yr - $193K/yrIn-houseFull-timeSenior level4+ years exp.

7 weeks ago

Applied Scientist, Ads Measurement Science

Amazon Science

New York City, NY (On-site)

$172K/yr - $223K/yrIn-houseFull-timeSenior level3+ years exp.

1 month ago

Principal Research Scientist, Amazon Ads, Ads Science Analysis & Tech (ASAT)

Amazon Science

New York City, NY (On-site)

$208K/yr - $282K/yrIn-houseFull-timeSenior level10+ years exp.

2 months ago

Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment

Amazon Science

Seattle, WA (On-site)

$143K/yr - $193K/yrIn-houseFull-timeSenior level

2 months ago

Sr Applied Scientist, Digital Ads , Amazon Digital Advertising

Amazon Science

Seattle, WA (On-site)

$167K/yr - $249K/yrIn-houseFull-timeSenior level

2 months ago

Data Scientist, Advertising, AMPI Measurement

Amazon Science

Seattle, WA (On-site)

$136K/yr - $184K/yrIn-houseFull-timeSenior level2+ years exp.

2 months ago

Manager, Data Science, Outbound Communications

Amazon Science

Seattle, WA (On-site)

$175K/yr - $237K/yrIn-houseFull-timeSenior level5+ years exp.

2 months ago

Principal Economist, Ads Econ

Amazon Science

Seattle, WA (On-site)

$189K/yr - $282K/yrIn-houseFull-timeSenior level10+ years exp.

2 months ago

Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)

Amazon Science

Seattle, WA (On-site)

$219K/yr - $296K/yrIn-houseFull-timeSenior level10+ years exp.

3 months ago

Manager, Senior Economist, Marketing Measurement

Amazon Science

Seattle, WA (On-site)

$175K/yr - $237K/yrIn-houseFull-timeSenior level5+ years exp.

3 months ago

Applied Scientist, Prime Video - Personalization and Discovery Science

Amazon Science

Seattle, WA (On-site)

$143K/yr - $222K/yrIn-houseFull-timeSenior level

3 months ago

Intern-Economics, WW Integrated Marketing Systems and Intelligence (WIMSI)

Amazon Science

New York, USA (On-site)

$129K/yr - $192K/yrIn-houseVolunteerIntern/new grad

3 months ago

Research Scientist, Alexa Devices & Marketing

Amazon Science

Seattle, WA (On-site)

$136K/yr - $184K/yrIn-houseFull-timeSenior level

3 months ago

Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) Ads

Amazon Science

New York, USA (On-site)

$167K/yr - $260K/yrIn-houseFull-timeSenior level

3 months ago

Amazon Science

Senior Applied Scientist - Predictive Scoring, AWS Marketing Science

Seattle, WA (On-site)

$167K/yr – $249K/yrSenior LevelFull time

Posted 12 days ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Description

Responsibilities

Design and deploy predictive lead scoring models to optimize customer acquisition, conversion, and retention strategies using advanced techniques like survival analysis, graph networks, or transformer-based architectures.
Architect end-to-end ML pipelines for large-scale deep learning models, including data preprocessing, distributed training, model optimization, and real-time inference.
Publish research, file patents, and stay ahead of industry trends in the marketing science, propensity modeling, and customer journey prediction domains.
Innovate in multi-modal modeling (text, graph, behavioral, and temporal data) to enhance scoring accuracy across account and lead levels.
Conduct rigorous A/B testing, causal inference, and counterfactual analysis to measure model impact and iterate rapidly.
Collaborate with MLOps engineers to streamline model deployment, monitoring, and retraining using tools like AWS SageMaker, or MLflow and other internal tools.
Participate in science reviews to raise the science bar in our organization. This includes reviewing your work and the work of others.
Mentor junior scientists on ML methodology, experimentation design, and production best practices.
Define offline and online evaluation frameworks; establish success metrics tied to business outcomes (conversion rates, pipeline generation).

Requirements

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Knowledge of deep learning, machine learning and statistics
Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
Real world experience in recommender systems, transformers, or multi-objective tasks
Strong background in statistical analysis, experimental design, and SQL/Spark for big data processing
Extensive knowledge in a breadth of machine learning topics

Preferred

Proven success in deploying deep learning models (e.g., BERT/Transformers for NLP/behavioral sequences, diffusion models, GANs or general DNNs) to solve business problems.
Publications or patents in applied ML domains
Expertise in at least one focus area in MLOps: CI/CD pipelines, model monitoring, cloud platforms, Deployment strategy
Expertise in Emerging Techniques: LLM fine-tuning, federated learning, automated feature engineering, siamese networks, backbones (feature extraction networks), efficient transformer architectures.
Experience in Personalization: Session-based and long term interest recommendations. Two-Tower and Transformer based architectures
Experience in Lead Scoring / Behavior: Predictive analytics, churn modeling, and causal ML for attribution.

Benefits

health insurance (medical, dental, vision, prescription)
401(k) matching
paid time off
parental leave
sign-on payments and restricted stock units (RSUs)

Amazon Science

Amazon Science gives you 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. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

Founded in 2020

Seattle, Washington, USA

4 employees

www.amazon.science

Traffic Signals

Monthly Visitors

331.3K

Traffic Source Mix

43.6%

Direct

43%

Referral

10%

Social

2.6%

Paid

0.7%

Headcount Trend

Current headcount: ~4

Marketing Team

Marketing Roles Posted (Last 30 Days)

Responsibilities

Design and deploy predictive lead scoring models to optimize customer acquisition, conversion, and retention strategies using advanced techniques like survival analysis, graph networks, or transformer-based architectures.
Architect end-to-end ML pipelines for large-scale deep learning models, including data preprocessing, distributed training, model optimization, and real-time inference.
Publish research, file patents, and stay ahead of industry trends in the marketing science, propensity modeling, and customer journey prediction domains.
Innovate in multi-modal modeling (text, graph, behavioral, and temporal data) to enhance scoring accuracy across account and lead levels.
Conduct rigorous A/B testing, causal inference, and counterfactual analysis to measure model impact and iterate rapidly.
Collaborate with MLOps engineers to streamline model deployment, monitoring, and retraining using tools like AWS SageMaker, or MLflow and other internal tools.
Participate in science reviews to raise the science bar in our organization. This includes reviewing your work and the work of others.
Mentor junior scientists on ML methodology, experimentation design, and production best practices.
Define offline and online evaluation frameworks; establish success metrics tied to business outcomes (conversion rates, pipeline generation).

Requirements

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Knowledge of deep learning, machine learning and statistics
Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
Real world experience in recommender systems, transformers, or multi-objective tasks
Strong background in statistical analysis, experimental design, and SQL/Spark for big data processing
Extensive knowledge in a breadth of machine learning topics

Preferred

Proven success in deploying deep learning models (e.g., BERT/Transformers for NLP/behavioral sequences, diffusion models, GANs or general DNNs) to solve business problems.
Publications or patents in applied ML domains
Expertise in at least one focus area in MLOps: CI/CD pipelines, model monitoring, cloud platforms, Deployment strategy
Expertise in Emerging Techniques: LLM fine-tuning, federated learning, automated feature engineering, siamese networks, backbones (feature extraction networks), efficient transformer architectures.
Experience in Personalization: Session-based and long term interest recommendations. Two-Tower and Transformer based architectures
Experience in Lead Scoring / Behavior: Predictive analytics, churn modeling, and causal ML for attribution.

Benefits

health insurance (medical, dental, vision, prescription)
401(k) matching
paid time off
parental leave
sign-on payments and restricted stock units (RSUs)