5,604 Science jobs in the United States
Manager, Applied Science, ALX Science
Posted 15 days ago
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Job Description
Amazon Leadership eXperiences (ALX) Science's mission is to develop science that shapes human behavior in managing Amazon's talent. We develop the core science for all Amazon-wide talent management and development experiences. Our multidisciplinary science team comprises of applied scientists, data scientists, economists and research scientists. We partner closely with product teams to build scalable science solutions that work backwards from internal customer problems for all of Amazon's businesses and locations around the world. Some of our work includes GenAI-powered writing assistance and insights, talent development and matching recommendations, experimentation and north star metrics, predictive and root cause models for talent events, voice of the customer qualitative analyses frameworks, and talent evaluation framework research.
We are looking for an experienced AI/ML Applied Science Manager who has experience leading teams that build, apply and customize GenAI and traditional ML solutions to solve customer problems in production settings. Techniques we use on the team include NLP, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning, algorithmic fairness and others on rich and novel datasets.
As a science manager on the team, you will lead a team of ML scientists to build AI/ML solutions to address talent management and development product needs. You will be a hands-on technical leader who excels at driving innovation, fostering a data-driven culture, and leading through ambiguity to deliver measurable impact. You will innovate in the fastest-moving fields of current AI applications, including AI agents and intersection of GenAI and traditional ML systems, such as recommendations, and get to immediately apply your results in highly visible internal Amazon products that have a significant impact on employees' lives. You will work closely with customers, product and program managers, other engineering managers, and tech leads to understand and guide your teams to build the right solutions. You will develop science roadmaps, communicate your vision and milestones to leadership and to your collaborators in the People Experience and Technology space. If this kind of work excites you, reach out to us to find out more!
Key job responsibilities
- Lead a team of applied scientists to deliver GenAI and ML-powered solutions that directly impact careers of Amazon employees.
- Set technical and scientific direction for the team by defining the vision, roadmap, and success metrics for high-impact GenAI and ML initiatives.
- Drive execution through planning (sprint, quarterly, and annual), goal-setting, stakeholder alignment, and cross-team collaboration.
- Partner with business, product and engineering leaders to define and scope science solutions.
- Mentor and grow talent by hiring top-tier scientists, and providing ongoing coaching for both career growth and technical development.
About the team
ALX Science is an experienced central interdisciplinary organization of scientists spanning machine learning, economics and research that builds science models for Amazon's worldwide employee-facing talent management products, designs and supports experiments for product features, and measures impact of product and program initiatives across the broader organization. Examples of our work include GenAI-powered summarization and writing assistants, content and people recommendation systems, scalable experimentation products and measuring organizational north star metrics.
Basic Qualifications
- 5+ years of building machine learning models for business application experience
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
Preferred Qualifications
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
- Experience in applied research
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 $165,500/year in our lowest geographic market up to $286,000/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.
Data Science
Posted 5 days ago
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Data Analyst Role at ROBOTICS TECHNOLOGIES LLC Join a data-driven organization focused on data analysis, profiling, and visualization. Analyze critical data to generate insights Hands-on experience with R and Python Proficiency in visualization tools like Tableau Identify data patterns and provide actionable insights Develop and implement statistical models for data analysis Experience in marketing and customer analytics Understanding of various data domains within the retail industry Ability to comprehend business processes and communicate effectively with stakeholders ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer committed to diversity and inclusion, including female, minority, disability, and veteran candidates. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, or immigration status. #J-18808-Ljbffr
Data Science
Posted 8 days ago
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Job Responsibilities Define creative solutions to business problems using advanced algorithms and models. Build and manage a high performing team. Use machine learning and predictive modeling to develop data driven solutions that drive substantial business value to the external consumers and internal stakeholders/partners. Work to instill data best practices around the organization. Help with process, methods, and education. ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. #J-18808-Ljbffr
Data Science
Posted 14 days ago
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Job Description
Our client, based in San Francisco, is seeking a Director of Data Science for an immediate opportunity! The ideal candidate will be a proven leader, with deep analysis and programming skills and have an exemplary understanding of statistics and hypothesis testing. Candidates will work with digital marketing teams for all business models, statistics, and ensure the proper information required is provided from different data sources. Job Responsibilities: Be a leader and source of knowledge for the data scientist, to support and deliver AI/ML based products. Work with clients to test optimization strategies. Work with clients to develop innovative solutions and proofs of concept. Work with R&D and Product Engineering teams to build AI/ML based products. Foster Data driven methodology and practice within the company. Integrate deeply with C-level business leadership as a trusted and influential contributor to data-driven decision making, ensuring maximum impact of Data Science outputs. AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). #J-18808-Ljbffr
Science Advisor
Posted 15 days ago
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Job Description
**Responsibilities:** Serves as the Science Advisor to support the counterintelligence program, specific duties include, but are not limited to:
+ Serves as subject matter expert on nuclear weapons science and technology, analysis matters concerning nuclear weapons, special nuclear materials (SNM), and other fissile materials to ensure CI-related assessments are technically and scientifically sound.
+ Independently researches, conceptualizes, assesses and recommends modifications to innovative projects designed to enhance the DOE CI product through scientific and technical means.
+ Provides consultative services as required throughout the Department, as well as inter-departmentally, to policy and technical groups or organizations.
+ Assignments concentrate on the limitation of proven concepts and practices of broad and complex areas where issues and factors to be considered are largely undefined and require extensive probing and analysis to determine the nature and scope of the problems.
+ Participates in DOE's Critical Infrastructure Protection efforts.
+ Develops liaison contacts within the United States Counterintelligence and Intelligence Communities to further research and analytical objectives and goals of the DOE Counterintelligence Program. In this capacity, serves as technical expert for the sharing of science-related counterintelligence information.
+ Makes oral presentations, which convey ideas, facts, conclusions, estimates, and projections to a variety of DOE and United States Counterintelligence and Intelligence Community personnel.
+ Prepares a variety of written communications and documents, to include national security studies and policy recommendations.
**Requirements**
+ Must possess a current Department of Energy Q security clearance and Sensitive Compartmented Information (SCI)
+ Advanced degree, from an accredited university or college in scientific or technical field such as engineering or the physical sciences.
+ Five (5) years of field experience conducting research or working in their selected field, interfacing with world class research and engineering organizations, and have subject matter expertise in the area of nuclear science and technology, preferably weapons development, design and engineering.
+ Must have a thorough understanding of the dual-use nature of nuclear technologies, and be able to identify potential nefarious use of legitimately obtained technology.
+ Experience at a U.S. National Laboratory and a collateral understanding of emerging sciences (electro-optical, laser, accelerator technologies, advanced materials science, nanotechnologies, and micro electro mechanics) is desired.
Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters ( .
Science Teacher
Posted 1 day ago
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Job Description
Salary:
Science Teacher
DeLaSalle High School is looking for highly effective, highly qualified and highly motivated individuals to join our organization. Ideal candidates will have experience in urban education and be committed to our school purpose, mission and vision.
DeLaSalle prepares students to pursue extraordinary paths by supporting them with social-emotional learning, mentorship and personalized plans for beyond high school.
School Mission: DeLaSalle develops courageous students with success plans that enable them to be strong community participants and leaders.
School Purpose: DeLaSalle students graduate with the confidence to pursue their interests and the intellectual and emotional readiness to become effective contributors and leaders in their community.
Job Title: Science Teacher
Direct Supervisor: Principal
Contract Days: 10 Months (Academic School Year)
Position Responsibilities:
- Establish daily objectives that align to the Next Generation Science Standards, Common Core Standards and Missouri Learning Standards
- Plan for, differentiate and guide the learning process to ensure all students achieve the objectives
- Facilitate hands-on activities and real world learning projects that allow students to learn by experiencing and exploring
- Implement useful formative and summative assessment measures
- Select and utilize effective instructional methods and learning materials
- Maintain a clean and organized classroom environment that is conducive to learning
- Use discipline models of Restorative Justice to maintain a positive, encouraging learning environment
- Establish a cooperative and collaborative relationship with students, staff and families to achieve the overall purposes of the school program
- Maintain open lines of communication with parents/guardians
- Participate in routine meetings, trainings and professional development
- Regular and dependable attendance
- Additional assigned duties such as lunch duty, early arrival AM duty, dismissal duty etc.
Position Qualifications:
- A minimum of a Bachelor's Degree from an accredited college or university
- A valid Missouri Teacher's Certificate (applicable level-area endorsements preferred)
- Ability to pass an extensive background check
- Evidence of the willingness and the ability to comply with the standards for ethical and professional performance established by the State Board of Education and DLS HS
- Excellent verbal and written communication skills
- Strong PC skills
- Organized, self-starter with the ability to adapt to support the best interest of the student
- Ability to maintain confidentiality regarding students
De La Salle High Schools Competitive Advantages:
- Competitive salary and benefits
- Small classroom sizes
De La Salle High Schools Competitive Advantages (Continued):
- Growth (All teachers receive an instructional coach to support your professional development)
- Teacher autonomy
MS Science
Posted 1 day ago
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Job Description
Job Description
Company Description
KIPP KC is part of a national network of free, open-enrollment, college-preparatory charter schools with a track record of preparing students in educationally underserved communities for success in college and in life.
Together with families and communities, KIPP Kansas City Public Schools works to create joyful, academically excellent schools that prepare students with the skills and confidence they need to pursue the paths they choose - college, career, and beyond - so they can lead fulfilling lives and build a more just world. We are a Pre-K through 12th grade school located in the historical 18th and Vine District. We are part of a national network of free, open-enrollment, college-preparatory charter schools with a track record of preparing students in educationally underserved communities for success in life. KIPP KC opened its first school, KIPP Endeavor Academy, in 2007 with approximately 31 fifth grade students. Today, KIPP Kansas City has grown to serve students in Pre-Kindergarten through 12th grade and is currently educating approximately 1,000 students.
Job DescriptionPosition Overview
Every member of the Team & Family at KIPP KC plays a critical role in ensuring our students are on the path toward college, career, and beyond. Our educators are passionate advocates for our students and families, working tirelessly to connect them with access to opportunity for lives of power and choice. As a Lead Teacher, you will deliver exceptional instruction and assess student growth. You are dedicated to constant learning and proactively provide academic and cultural support to your school and team. You are deeply committed to educational equity, building relationships with students and families so they are safe, seen, heard, and loved.
As a KIPP KC Public Schools Teacher, your core responsibilities include:
Instructional Delivery and Assessment
- Develop or internalize year-long Missouri State standards-based (or other curriculum-based), backwards-planned unit plans and lesson plans that meet all students’ learning needs
- Use assessment data to modify short and long-term plans in order to promote all students’ academic performance
- Embrace and incorporate feedback in the spirit of constant improvement
- Maintain accurate records, grade book, and data tracking systems
Academic and Cultural Support
- Assume personal responsibility for student achievement
- Collaborate with content and grade-level teams to promote an environment of critical thinking and academic rigor
- Establish and maintain working relationships with students and families based on trust and respect
- Participate in the daily functions of the school such as morning, lunch, and afternoon supervisory duties
- Attend critical school events such as staff meetings, open houses, and student-led parent conferences
- Meet professional obligations including timeliness and consistency in meeting deadlines
- Exemplify the school cultural expectations
Skills and Qualifications
Bachelor’s degree
Relentless focus on results and a commitment to teamwork
Deep commitment to educational equity and underserved communities
Valid Missouri Teaching license with required certification for subject and level assigned*
Demonstrated knowledge of core subject area assigned
Satisfactory outcome of a background check
Additional Information
Compensation
Salary for this position is competitive and commensurate with experience. Additionally, KIPP KC offers a comprehensive benefits package including health coverage and retirement.
Start Date: ASAP. All hired candidates must complete the background and fingerprint process and attend orientation.
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frog Data Science Analysis & Insights - Sr. Consultant
Posted 15 days ago
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At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
frog is a leading global creative consultancy, part of Capgemini Invent. We challenge the status quo to craft and build human experiences that win hearts and move markets. Partnering with passionate leaders and visionary entrepreneurs, we apply creativity, strategy, design and data to re-invent businesses, drive growth and orchestrate customer centric transformation. Together we strive to shape a regenerative future that is both sustainable and inclusive for businesses, people and planet.
**YOUR ROLE**
We are seeking an experienced **Data Science Strategist & Insights Consultant** to join our team at frog, part of Capgemini. In this role, you will be pivotal in **designing and implementing data models, machine learning algorithms, and statistical analyses to extract deep insights and drive predictive actions.** You will collaborate with cross-functional teams of designers, strategists, and engineers to tackle challenging problems, develop data-driven solutions, and contribute to the creation of impactful products and experiences.
**Key Responsibilities:**
+ **Advanced Data Analysis & Modeling:**
+ Design, develop, and deploy machine learning models (e.g., for classification, regression, clustering, NLP) and statistical models to address business challenges and client needs.
+ Conduct in-depth exploratory data analysis on large, complex datasets (structured and unstructured) to identify significant patterns, trends, and opportunities.
+ Develop and test hypotheses using rigorous statistical methods.
+ Stay abreast of and apply cutting-edge techniques in machine learning, AI, and statistical modeling.
+ **Insight Generation & Communication:**
+ Translate complex analytical findings and model outputs into clear, actionable insights and compelling narratives for diverse audiences, including technical and non-technical stakeholders.
+ Create effective data visualizations and presentations to communicate results and recommendations.
+ Collaborate with client-facing teams to understand requirements and ensure data science solutions align with strategic goals.
+ **Cross-Functional Collaboration & Innovation:**
+ Partner with data engineers, data analysts, designers, and strategists to integrate data science solutions into broader project deliverables.
+ Contribute to the innovation of new data-driven products, services, and methodologies within frog.
+ Actively participate in knowledge sharing and contribute to the growth of the data science practice.
**We Want You to Have:**
+ 5 years of hands-on experience in a Data Scientist role, applying machine learning techniques to solve real-world problems.
+ Strong proficiency in programming languages commonly used in data science, such as Python or R.
+ Expertise in machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
+ Solid understanding of statistical analysis, hypothesis testing, experimental design, and predictive modeling.
+ Experience with SQL and working with large datasets and databases (both relational and NoSQL).
+ Proven ability to manipulate, process, and extract value from large, disconnected datasets.
+ Excellent problem-solving, analytical, and critical thinking skills.
+ Strong communication and presentation skills, with the ability to convey complex 1 technical concepts to non-technical audiences.
**It Would Be a Bonus If You Had:**
+ Bachelor or Master's degree. in Data Science, Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
+ Experience with big data technologies (e.g., Spark, Hadoop).
+ Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data science/ML services.
+ Experience in deploying machine learning models into production.
+ Knowledge of deep learning techniques and their applications.
+ Experience working in a design-centric or consulting environment.
+ A portfolio of data science projects or contributions to open-source projects.
**WHAT YOU'LL LOVE ABOUT WORKING HERE?**
**_Empowerment:_** _At Capgemini Invent, we:_
· _Lead the change and take initiative_
· _Find the work-life balance that suites us_
· _Craft or own path through learning and career development programs_
**_Energy:_** _At Capgemini Invent, we:_
· _Connect as a global community of 13,000 colleagues worldwide_
· _Celebrate our diverse perspectives and draw from strength from our differences_
· _Have fun by providing a range of clubs, events and get togethers to celebrate our wins and successes_
**_Experiences_** _: At Capgemini Invent, we:_
· _Work internally and with clients to make a difference_
· _Push boundaries to reimagine what's possible_
· _Work to build a more sustainable and inclusive future_
**Life at Capgemini**
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
+ Flexible work
+ Healthcare including dental, vision, mental health, and well-being programs
+ Financial well-being programs such as 401(k) and Employee Share Ownership Plan
+ Paid time off and paid holidays
+ Paid parental leave
+ Family building benefits like adoption assistance, surrogacy, and cryopreservation
+ Social well-being benefits like subsidized back-up child/elder care and tutoring
+ Mentoring, coaching and learning programs
+ Employee Resource Groups
+ Disaster Relief
**About Capgemini Invent**
As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in over 30 studios and more than 60 offices around the world, it comprises a 12,500 strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth.
Capgemini Invent is an integral part of Capgemini, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion.
Get The Future You Want
**Disclaimer**
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
**Job:** _Technology Strategy_
**Organization:** _INVENT PEOPLE S&T_
**Title:** _frog Data Science Analysis & Insights - Sr. Consultant_
**Location:** _NY-New York_
**Requisition ID:** _079770_
Applied Science Manager, Ads Measurement Science
Posted 15 days ago
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Job Description
The Measurement Intelligence Science Team (MIST) in the Measurement, Ad Tech, and Data Science (MADS) organization of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.
As an Applied Science Manager on the team, you will lead a team of scientists to define and execute a transformative vision for holistic measurement of ad effectiveness. Your team's portfolio will span quantifying difficult-to-observe ad impacts like brand perception, offline sales, and long-term impacts, as well as creating novel causal measurement tools including Marketing Mix Models (MMMs). You will partner closely with product and engineering leaders to deliver science solutions end-to-end from inception to production.
Key job responsibilities
- You independently manage a team of scientists. You identify the needs of your team and effectively grow, hire, and promote scientists to maintain a high-performing team.
- You have a broad understanding of scientific techniques, several of which may fall out of your specific job function. (Please see FAQ #9).
- You define the strategic vision for your team. You establish a roadmap and successfully deliver scientific solutions that execute that vision.
- You define clear goals for your team and effectively prioritize, balancing short-term needs and long-term value.
- You establish clear and effective metrics and scientific process to enforce consistent, high-quality artifact delivery.
- You proactively identify risks and bring them to the attention of your manager, customers, and stakeholders with plans for mitigation before they become roadblocks. You know when to escalate.
- You communicate ideas effectively, both verbally and in writing, to all types of audiences. You author strategic documentation for your team. You communicate issues and options with leaders in such a way that facilitates understanding and that leads to a decision.
- You work successfully with customers, leaders, and engineering teams. You foster a constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues.
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
Basic Qualifications
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
Preferred Qualifications
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- 2+ years experience developing Generative AI models
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 $165,500/year in our lowest geographic market up to $286,000/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.