66 Advertising jobs in Bellevue

We are looking for an Advertising Production Manager to lead the delivery engine behind our global advertising campaigns. This role will orchestrate the complex interplay between world-class creative agencies, internal stakeholders, and emerging in-house capabilities to ensure our campaigns launch on time, on budget, and at the highest quality.
You'll help define and scale the operational infrastructure that supports our expanding creative ambitions-balancing structure with flexibility, and agency collaboration with growing internal production. If you thrive in fast-paced environments and love building systems that help great creative work shine, this role is for you.
This position is based in Redmond and you'll be at the heart of one of the most influential companies on the planet, with the opportunity to make your mark far beyond it.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities**
+ **Orchestrate campaign process** across integrated, multi-channel advertising efforts-including broadcast, digital, social, out-of-home (OOH), etc.-ensuring operational excellence from brief to launch.
+ **Manage agency relationships** with clear scopes, timelines, deliverables, and performance expectations. Serve as the central point of coordination & operations for external creative and production partners.
+ **Drive operational discipline** by orchestrating internal creative workflows, asset review cycles, resource planning, campaign playbooks, tooling systems, and process frameworks that bring clarity and efficiency across teams.
+ **Own production budgets** across all campaign efforts, including agency fees, shoots, and post-production. Track spend, forecast needs, and ensure financial accountability.
+ **Coordinate cross-functional teams** , aligning marketing, media, legal, brand, product, and compliance partners around campaign timelines and deliverables.
+ **Identify and solve bottlenecks** , tracking delivery Key Performance Indicators (KPIs) and driving continuous improvement across creative operations.
+ Embody our Culture ( and Values ( Qualifications**
+ Bachelor's Degree in Business, Advertising, Marketing, Communications, or related field AND 4+ years experience in advertising production, creative operations, or integrated marketing campaign delivery OR equivalent experience.
+ 5+ years campaign management experience, digital marketing experience, and/or product, project, or site management experience.
+ Experience with creative production lifecycles across formats (TV, digital, social, etc.) and channels.
+ Experience working with external creative and production agencies at scale.
+ Experience with digital asset management.
**Additional or Preferred Qualifications**
+ Master's Degree in Business, Advertising, Marketing, Communications, or related field AND 6+ years experience in advertising production, creative operations, or integrated marketing campaign delivery
+ Experience working successfully cross functionally.
Advertising IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $03,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 137,600 - 222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications for the role until September 25, 2025.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Description
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place.
A key driver for our growth is our understanding of the needs of advanced advertisers. Advanced advertisers are agencies and self-service advertisers with scaled marketing needs, as they manage a large portfolio of clients, products, campaigns or brands. This engineering leadership role is focused on delivering toward the data analytics needs of this customer segment. Timely and relevant insights delivered via scalable products help advertisers grow business on Amazon.
Are you passionate about using Big Data to build customer trust and grow new business? Global advertisers rely on our team's performance insights to drive future investment in Amazon's Advertising Platform. We're looking for strong Engineering Leader that can operate large scale systems leveraging technologies such as Apache Iceberg, Spark, Hive and Presto, as well as AWS services like EMR, EKS, OpenSearch, to build the next generation Petabyte scale analytics and visualization platform. If this sounds interesting, we'd love to hear from you!
Key Responsibilities:
- Collaborate closely with internal teams that retrieve ad performance data from Reporting Analytics Engine. These teams power both synchronous interfaces (such as data tables and charts in campaign management UIs) and asynchronous reporting interfaces (such as downloadable reports and public APIs).
- Engage with various advertising program teams to influence their vision and enable new features that can provide near real time access to comprehensive data at Amazon scale.
- Earn trust across different levels and multiple groups of a large organization
- Work with technology and digital media
- Exceptional ability to analyze and interpret large amounts of data in order to make recommendations for improvement
- Strong oral and written communication skills, as well as ability to think clearly, analyze quantitatively, solve problems, scope technical requirements and prioritize project work
- Sound business judgment, proven ability to influence others, and strong analytical thinking skills
- Ability to think strategically and act tactically
- The ability to work on a diverse team
Impact and Career Growth:
- Have an opportunity to build, lead and grow a team of engineers
- Opportunity to grow and broaden your leadership and technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation
- Change the way customers use data to drive business success
- Have fun and inspire team members to enjoy work, be effective and stretch their imagination
- Ability to get a lot done in a startup environment with a mix of ambiguity and opportunity
Be part of a team of industry-leading experts that are building and operating novel solutions for the most advanced brands and advertisers working with Amazon. The solutions that we build will set new standards for quality and efficiency in advertising. We are re-thinking the way that companies can scale their businesses with Amazon.
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Ads Finance is seeking a bright, multitasking and self-motivated individual to support our VP of Sales Finance & Incentive Comp. This exciting role requires great attention to detail, the ability to meet tight deadlines, great organizational skills, and the ability to juggle multiple critical requests. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with senior professionals inside and outside the company is important. You will possess the ability to complete complex tasks and projects quickly with little to no guidance, react with appropriate urgency to situations that require a quick turnaround, and take effective action without having to know the total picture.
This role requires five (5) days a week in office.
Key job responsibilities
- Proactively coordinate and engage with leadership in planning and organizing events, activities and calendars
- Manage complex calendar and scheduling requirements
- Track and help drive completion of key deliverables and following up on outstanding items
- Act as a liaison for direct reports
- Drive key team activities, such as staff meeting agendas, all-hands meetings, and supply ordering
- Update team organizational charts
- Manage group logistics
- Coordinate travel
- Participate in planning of events
- Work with other assistants throughout the Ads team and across the rest of the company
A day in the life
*Team Culture*
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences.
*Work/Life Balance*
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.
*Mentorship and Career Growth*
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Basic Qualifications
- 5+ years of executive assistant experience
- Experience with executive level calendar management
- Experience with domestic or international travel coordination
- Experience with Microsoft Office products and applications
Preferred Qualifications
- Experience leading process improvements
- Experience in a fast-paced, high-tech company
- Experience designing processes to maximize efficiency
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
**As an Applied Scientist on this team, you will:**
- Be a strong contributor to Machine Learning; lending effort within this team and across other teams.
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
**Why you will love this opportunity:** Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
**Impact and Career Growth:** You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
**Team video** Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
**As an Applied Scientist on this team, you will:**
- Be a strong contributor to Machine Learning; lending effort within this team and across other teams.
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
**Why you will love this opportunity:** Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
**Impact and Career Growth:** You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
**Team video** Qualifications
- 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
Preferred Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
**As an Applied Scientist on this team, you will:**
- Be a strong contributor to Machine Learning; lending effort within this team and across other teams.
- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
**Why you will love this opportunity:** Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
**Impact and Career Growth:** You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
**Team video** Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description & Requirements

Maximus is seeking a tech-savvy and analytical individual to join our team as an Associate Specialist in Digital Advertising & Innovation. This role offers a unique blend of responsibilities at the intersection of AI, digital marketing and talent acquisition. You'll support the execution of paid media campaigns, explore ways to leverage emerging technologies like machine learning, AI and automation and collaborate across teams to streamline workflows and enhance user experience. This is a great opportunity to gain hands-on experience in a fast-paced, purpose-driven environment.

Essential Duties and Responsibilities:
- Identify opportunities to leverage technology to automate processes for the talent acquisition team.
- Support the analysis of operational challenges and recommend practical, data-informed solutions.
- Develop methods of business process monitoring to enable proactive addressment of process challenges.
- Streamline business processes and workflows for the talent acquisition team
- Support talent acquisition leadership in the adoption of efficient, scalable end-to-end processes.
- Provide support and training the talent acquisition staff on internal processes and systems.
- Partner with multiple teams to identify and articulate business needs and support the talent acquisition system upgrade, integration, and testing.

Additional Duties and Responsibilities:

- Utilize ML tools to analyze and optimize marketing efforts, including predictive analytics, machine learning algorithms, and automated insights.

- Develop and manage content workflows, including copy generation, image creation, and video production.

- Support the execution of digital media campaigns across a variety of paid advertising platforms.

- Collaborate with content and creative teams for campaign assets such as ad visuals and messaging.

- Collaborate with cross-functional teams to design and refine webpages that are visually engaging, intuitive, and aligned with user needs, ensuring seamless user experiences across web and mobile platforms.

Minimum Requirements

- Bachelor's degree in relevant field of study and 0-3 years of relevant professional experience required, or equivalent combination of education and experience.

Preferred Skills and Qualifications:

- AI & ML tools and packages (e.g., TensorFlow, PyTorch, scikit-learn, OpenAI, Hugging Face).

- Experience with robotics and automation (e.g., UiPath, Automation Anywhere, Blue Prism).

- Programming languages: Python, R, Java, C++.

- Familiarity with AI-powered content generation tools (e.g., ChatGPT, Midjourney, Jasper, Synthesia).

- Marketing background preferred.

- Digital advertising experience (e.g., Google Ads, Meta Ads, LinkedIn Campaign Manager) preferred.

- UI/UX experience (HTML5, CSS3, JavaScript).

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EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Minimum Salary

$

55,200.00

Maximum Salary

$

73,000.00

Description

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

As a Senior Data Scientist on this team you will:

• Lead Data Science solutions from beginning to end.

• Deliver with independence on challenging large-scale problems with complexity and ambiguity.

• Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.

• Build Machine Learning and statistical models to solve specific business problems.

• Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.

• Analyze historical data to identify trends and support optimal decision making.

• Apply statistical and machine learning knowledge to specific business problems and data.

• Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.

• Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.

• Build decision-making models and propose effective solutions for the business problems you define.

• Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.

Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Team video ~

Basic Qualifications

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• 4+ years of data scientist experience

• Bachelor's degree

• Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

• Experience managing data pipelines

• Experience as a leader and mentor on a data science team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

**ROLE SUMMARY**
The Senior Manager, US Regulatory Advertising and Promotion will provide strategic support to the review of Advertising and Promotion materials in order to meet the US brand team's objectives while ensuring the necessary level of regulatory compliance including meeting Office of Prescription Drug Promotion (OPDP), Advertising Promotional Labeling Branch (APLB) standards and Pfizer internal policies.
**ROLE RESPONSIBILITIES**
+ Ensure that reviewed promotional materials are accurate, truthful and not misleading, presented in a fair and balanced manner, consistent with applicable product labeling, well-substantiated by current and scientifically valid evidence, adherent to applicable advertising and promotion standards, and comply with all internal and external policies and procedures
+ Work independently and recognize when issues need to be elevated to Senior Management
+ Monitor and share with RC Members information on material regulatory developments and trends relevant to the RC generally, OPDP and APLB issues and a given promotional material
+ Provide guidance for team on overall benefit/risk assessments of promotional activities and strategies
+ Effectively communicate regulatory issues and concerns to senior governance group including Marketing, Legal and Medical.
+ Ensure business compliance and implementation of and adherence to Regulatory standards
+ Regulatory review of any internal and external business communications
+ Engage in appropriate activities in order to improve the regulatory environment through Agency contacts: OPDP, APLB and trade associations as appropriate.
**BASIC QUALIFICATIONS**
+ BS/BA or equivalent. Science degree/advanced degree is preferred.
+ 6+ years industry/applicable experience. Allowances for experience may be made based on multiple factors, including relevant education, advanced degrees, fellowships, and overall experience.
**PREFERRED QUALIFICATIONS**
+ Life sciences degree
+ Advanced degree in a relevant field (science, pharmacy, law)
+ Advertising & Promotion experience
+ 1+ years in relevant disease area(s)
+ Experience interacting with FDA including OPDP and APLB
**NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS**
Occasional travel may be required.
Work Location Assignment: **This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week.**
The annual base salary for this position ranges from $135,100.00 to $225,100.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
Relocation assistance may be available based on business needs and/or eligibility.
**Sunshine Act**
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
**EEO & Employment Eligibility**
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
Regulatory Affairs