Science Salary in Seattle, WA

Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT.Commercial Construction Superintendent - Healthcare & Life SciencesJob Description:A Superintendent directs the work flow of the project on site consistent with the project schedule and HITT safety and quality standards. The Superintendent provides leadership and serves as the liaison between project team members to promote the interest of both the business and clients in all matters, as well as demonstrate the characteristics of a mid-level leader. The Superintendent communicates project priorities to site staff and all subcontractors, serving as the primary leader on site for the construction project.ResponsibilitiesUnderstanding and administering the HITT safety program to include all subcontractors, ensuring that all accidents/incidents are promptly reported and investigated, and assisting in safety inspections by outside agenciesMaintain HITT quality standards for all aspects of the projectServe as the leader for all on site safety, managing a safe jobsite for all involvedMaintain daily log of all activities and site conditions, while managing the punch list and closeout process through owner/architect acceptanceWork with the project manager in formulating project schedule, ensuring that the proper methods and sequence of installation are followed, making and following through with schedule commitments, and maintaining HITT quality standardsMaintain good working relationships with all subcontractors on the project, developing relationships within the community which enhance business opportunities, and ensuring subcontractors are treated fairlyEnsure complete, accurate daily documentation of work orders/tickets, understanding subcontractor scope of work to avoid unnecessary change orders, and identifying problems early and act immediately to provide solutionsDevelop and organize the site team, arranging for temporary facilities/utilities for the site, and identifying long lead items that need to be expeditedCollaborate with the project manager and site operations team throughout the life of the projectQualificationsA four-year degree from an accredited university with a concentration in construction, engineering, or business is strongly preferred.In lieu of a degree, additional work experience is acceptable.5+ years' experience in commercial construction, including experience with a commercial general contractorTenant renovations, service work, work in occupied spaces, weekend work, fast paced project experience all a plusMastery of building processes and best practicesAbility to organize necessary resources, including people, tools and time to meet tight deadlines and achieve desired resultsProject lead experience preferred Previous experience in a superintendent or project lead experience preferredAbility to master sector/project-specific software systems including but not limited to: Microsoft Office suite (ex. Project, Excel, Word, Outlook, PowerPoint, etc.), ProCore, Adobe, BlueBeam,OSHA 30 Certification preferredAbility to walk and/or stand for long periods of time and the ability to lift up to 50lbsMust demonstrate a strong ability to:Communicate clearly, concisely, and professionally, with a strong focus on audience appropriate business writing and verbal skillsDemonstrate a positive attitude and passion for construction and our industryGather data, interpret it into meaningful information, and relay that information through clear, concise communication strategies; ability to see how pieces and processes fit into and affect the bigger picture/business modelOrganize and manage tasks and prioritiesDemonstrate integrity consistently with The HITT Way and HITT's core valuesSeek continuous improvement of knowledge and abilities, internal focus on self-improvementAdapt and exercise flexibility with the ever-changing world of technology, design, means and methodsCollaborate with people of various backgrounds and stylesCreate and maintain relationships with colleagues, clients, subcontractors, and vendorsExhibit respectfulness by being punctual, engaged/focused, and respectful of othersIn accordance with the Washington Equal Pay and Opportunity Act, section RCW 49.58.110, the base salary range for this position is:$100,000.00 - $145,000.00Compensation in other cities and states may vary. HITT Contracting offers a competitive total benefits and compensation package including performance-based bonuses, premium health care coverage including vision and dental, employer-matched 401(k), wellness reimbursement program, paid holidays and time-off, and other voluntary benefits and leave types. The determination of salary is based on the candidate's individual professional experience, qualifications, education, skills, and training.HITT Contracting, Inc. is committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity and Affirmative Action Employer providing opportunities to all employees and applicants without regard to race, sex, national origin, religion, age, disability, veteran status, genetic information, sexual orientation, gender identity and any other protected status in accordance with applicable law. Women, minorities, individuals with disabilities, veterans, and LGBTQ+ individuals are encouraged to apply. HITT Contracting, Inc. promotes a drug-free workplace.In accordance with Washington's Senate Bill 5123, HITT Contracting will only base initial hiring decisions on drug screenings non-inclusive of cannabis. This law does not apply to applicants seeking positions that require a federal background investigation of security clearance or positions identified as safety sensitive. These positions include safety professionals, any level of superintendent or project manager, MEP or QC professionals, project engineers and construction interns.

The College of Arts & Sciences (CAS) at the University of Washington seeks an Associate Dean for Research to provide leadership for the College's research program.The College of Arts & Sciences sits at the heart of the University of Washington. As the UW's largest college, Arts & Sciences produces more than half of all bachelor's degrees on the Seattle campus. A third of our 22,000 students are the first in their families to attend college. Faculty in our 39 academic departments are dedicated to helping students think critically, communicate clearly, and engage diverse perspectives respectfully. In Arts & Sciences, our discoveries in learning, teaching, and research engage us with our local, national and global communities - and with each other. Located in a dynamic, diverse, pacific-rim city, faculty in the College of Arts and Sciences are among the University of Washington's most active and accomplished across the creative, scholarly and research enterprise. The college is home to 8 MacArthur Fellows, 21 National Academy of Science members, and 33 American Academy of Arts and Sciences Fellows, among others. The College aspires to becoming an international leader in research and creative work that is both basic and applied, that cuts across the disciplinary domains it houses, and to provide the support its faculty require in order to engage in university initiatives and external collaborations.Reporting to the Dean of the College of Arts & Sciences, the Associate Dean for Research is the College's chief research officer and a member of the CAS executive leadership team. The Associate Dean for Research is responsible for the strategy, operations, and implementation of the college's sponsored (grants, contracts, fellowships) research program, which in FY23, totaled over $120 million across its four divisions-Arts, Humanities, Natural Sciences, and Social Sciences. The Associate Dean for Research works closely and collaboratively with faculty, department chairs, and staff to support all aspects of the research enterprise across all four of the college's divisions, and along with the Dean represents the college with internal and external constituencies. The Associate Dean for Research will also be a tenured member of the faculty with an appointment as a full professor in an appropriate department. The tenured faculty position will be ongoing in the College and will hold a 9 month service term (September 16 - June 15, annually) at 100% FTE. The Associate Dean for Research position will be a 5-year term appointment with the possibility of renewal following review, and will be compensated for the full 12 months during the term of the appointment. We welcome applicants from any disciplinary background represented within the College of Arts & Sciences. The Associate Dean for Research will be expected to embrace the intellectual diversity represented in the college, and to support faculty in all four of the college's divisions. The expected start date for this position is July 1, 2024, or as soon thereafter as possible. All University of Washington faculty engage in teaching, research, and service.Specific responsibilities of the Associate Dean for Research include: mentoring faculty (especially junior faculty) on research career issues; providing leadership and oversight for the research mission in the college; overseeing the research budget and its programs; evaluating research center opportunities; managing college-level indirect cost recovery; collaborating with the appropriate dean's office staff on space/facilities issues as they intersect with research needs; building additional infrastructure in the college to support the research mission across all four divisions; organizing workshops to support faculty research efforts across the four divisions; evaluating grant cost sharing opportunities and presenting the evaluation to the Associate Dean for Administration and the Dean; engagement with the college's research centers; fostering collaborative, interdisciplinary research between departments and between the College and other schools and colleges at UW; Supervising staff who manage aspects of research administration including compliance and financial issues (this includes, but is not limited to, interacting with the VPR, OSP, and the IRB on behalf of the College); working with the Associate Dean for Finance and Administration to create research financial projections for management and planning purposes; implementing research aspects that align with CAS priorities and strategies; serving as the college's primary liaison to the Vice Provost for Research; working with other campus research leadership on strategic research partnerships.The ability to elevate the research enterprise in CAS, including a focus on faculty research training and grantsmanship, is critical to this position. CAS leaders have strong team leadership and communication skills as well as excellent interpersonal abilities. They are innovative and creative and this position will be critical in creating new ideas for success in a changing landscape of research funding. This position will mentor faculty across all four divisions in the college and creating new research opportunities through networking. To do so, a successful applicant will have excellent decision-making and problem-solving skills, an ability to develop and implement strategies to address long-term opportunities and the capacity to be a forceful advocate for the CAS, its faculty and academic programs. The College has a strong commitment to equity, justice and inclusion and the highest personal integrity and the successful applicant will embody that dedication.Washington State Law requires that this ad list a binding salary range. The base salary range for this position will be $17,250 - $22,667 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. The Associate Dean appointment will also carry a *$1,500 per month administrative supplement for the duration of the term appointment.*Administrative supplements are at the discretion of the Dean and may be changed or removed. QualificationsThe successful candidate will have an earned doctorate, or foreign equivalent, and an outstanding research record commensurate with appointment at the level of full Professor at UW; Experience managing large research programs such as centers, departments, and large and complex research grants; Familiarity with federal grant finance and compliance issues; Experience evaluating research proposals. Application InstructionsInterested candidates should submit a letter of interest and their CV to Isaacson Miller. Priority will be given to applications received by May 1, 2024. For questions about the search, please contact Joanna Cook. GADVID:657753

DESCRIPTIONCalling all PhD students passionate about machine learning! We are looking for skilled scientists who can transform theory into groundbreaking reality. Join us in revolutionizing the field by harnessing the power of machine learning techniques like random forest, Bayesian networks, ensemble learning, and clustering. Dive into massive datasets and conquer unprecedented challenges with your innovative learning systems. Don’t miss this opportunity to make history and solve problems that have never been cracked before! We are seeking a candidate who thrives in dynamic environments, embraces uncertainty, and possesses a meticulous eye for detail. As an Applied Science Intern, you will take charge of designing and building comprehensive systems from start to finish. This role offers the chance to craft technical roadmaps and spearhead projects of significant impact, bolstering the efforts of Amazon Science. Collaborating closely with Amazon scientists and fellow interns, you will develop innovative solutions and seamlessly implement them into production. The ideal scientist will excel in collaborating with diverse groups and cross-functional teams to tackle intricate business challenges. Amazon Science offers a glimpse into the company’s commitment to customer-obsessed scientific innovation. At Amazon, we firmly believe that scientific breakthroughs are crucial to being the worlds most customer-centric company. It is our ability to make a significant impact on a global scale that enables us to attract the brightest minds in artificial intelligence and related fields. Our scientists employ the use our working backwards approach to revolutionize the way we live and work, constantly enriching our lives with their groundbreaking discoveries. For more information on the Amazon Science community please visit https://www.amazon.science.We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | New York, NY, USA | Oceanside, CA, USA | Palo Alto, CA, USA | San Diego, CA, USA | Santa Clara, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS• Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.• Experience in designing experiments and statistical analysis of results.• Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.• Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.PREFERRED QUALIFICATIONS• Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.• Publication(s) at peer-reviewed conferences or journals.• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.Amazon has positions available for Machine Learning intern positions located in but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Pursuant to the Los Angeles and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $106.83/hr 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONHelp us develop the algorithms and models that power computer vision services at Amazon, such as Amazon Rekognition, Amazon Go, Visual Search, and more! We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. As an intern, you will help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. You will own the design and development of end-to-end systems and have the opportunity to write technical white papers, create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.Amazon Science gives 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. Amazon Scientist use our working backwards method to enrich the way we live and work.For more information on the Amazon Science community please visit https://www.amazon.scienceWe are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USA | Boston, MA, USA | Pasadena, CA, USA | Quincy, MA, USA | Santa Clara, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS• Enrolled in a Ph.D. degree or equivalent in computer vision technologies, robotics, computer science, statistics, physics, engineering, or related topics.• Experience in designing experiments and statistical analysis of results.• Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.• Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.PREFERRED QUALIFICATIONS• Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.• Publication(s) at peer-reviewed conferences or journals.• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.Amazon has positions available for Computer Vision and Robotics Intern positions located in but not limited to Bellevue, WA; Boston, MA; Pasadena, CA; Santa Clara, CA; Seattle, WA; Sunnyvale, CA.Pursuant to the Los Angeles and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $106.83/hr 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONAre you a Masters or PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.Amazon Science gives 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 use our working backwards method to enrich the way we live and work.To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.For more information on the Amazon Science community please visit https://www.amazon.science.We are open to hiring candidates to work out of one of the following locations:Arlington, WA, USA | Bellevue, WA, USA | Boston, MA, USA | New York, NY, USA | Oceanside, CA, USA | Palo Alto, CA, USA | Quincy, MA, USA | San Diego, CA, USA | Santa Clarita, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS• Enrolled in a Master’s degree or equivalent in computer science, machine learning, engineering, or related fields.• Experience in designing experiments and statistical analysis of results.• Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.• Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.PREFERRED QUALIFICATIONS• Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.• Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.• Publication(s) at peer-reviewed conferences or journals.• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.Amazon has science internships located in but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Pursuant to the Los Angeles and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55.34/hr in our lowest geographic market up to $102.31/hr 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONDo you have a strong science background and want to help build new technologies? Do you have a physics background and want to help build and test superconducting circuits? Would you love to help develop the algorithms and models that power computer vision services at Amazon, such as Amazon Rekognition, Amazon Go, Visual Search, etc? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers. Research interns at Amazon work passionately to apply cutting-edge advances in technology to solve real-world problems. As an intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes and work with massive datasets. We hire research science interns to work in a number of domains including: • Quantum Computing• Computer Vision• Robotics• Operations Research• Speech Technologies• Machine Learning• Network Design/CloudOur science recruitment team is looking for graduate students in several research fields to work as an intern with teams across Amazon including: AWS, Alexa, Advertising, IMDb, Grand Challenge, Consumer, Operations, HR and more!We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USA | New York, NY, USA | Pasadena, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS• Enrolled in a Ph.D. degree or equivalent in computer science, statistics, physics, engineering, or related topics.• Experience in designing experiments, building models, and analyzing complex datasets to derive meaningful insights and business decisions• Experience and ability to implement algorithms using both toolkits and self-developed code.• Experience with Java, C++, C, C#, Python, or other programming language• Experience with R, MATLAB, Stata, or other modeling software.PREFERRED QUALIFICATIONS• Hands-on experience developing and deploying optimization• Experience in causal modeling (e.g., graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments) and data science workflows • Advanced ability to extract complex data sets, cleaning and analysis• Experience creating prototypes and interactive visualization• Experience in developing and implementing algorithms, tailored to particular business needs and tested on large data sets• Experience analyzing both experimental and observational data sets• Publication(s) at peer-reviewed conferences or journals.Amazon has positions available for Research Science Internships in but not limited to Bellevue, WA; New York, NY; Pasadena, CA; Seattle, WA.Pursuant to the Los Angeles and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $59.66/hr in our lowest geographic market up to $102.31/hr 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONJoin us at the cutting edge of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s scale & speed to build a more resilient and sustainable company. We manage our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world around us to become more sustainable.Sustainability Science and Innovation (SSI) is a multi-disciplinary team within the WW Sustainability organization that combines science, analytics, economics, statistics, machine learning, product development, and engineering expertise. We use this expertise and skills to identify, develop and evaluate the science and innovations necessary for Amazon, customers and partners to meet their long-term sustainability goals and commitments.We are seeking an experienced Senior Research Scientist to play a key role in our work to achieve our long-term sustainability and climate commitments. In this role, you will leverage your breadth of expertise in data science methodologies, statistical modeling, and scientific programming to analyze complex datasets, build scientific tools, and inform sustainability strategies across carbon, waste, and water management. The successful applicant will lead by example, pioneering science-vetted data-driven approaches, and working collaboratively to implement strategies that align with Amazon’s long-term sustainability vision. You will be at the forefront of exploring and resolving complex sustainability issues, bringing innovative ideas to the table, and making meaningful contributions to projects across SSI’s portfolio. This role not only demands technical expertise but also a strategic mindset and the agility to adapt to evolving sustainability challenges through self-driven learning and exploration.Key job responsibilities- Own the design and development of scientific scripts to solve complex and ambiguous problems, and extract strategic learnings from large datasets. - Effectively influence stakeholders across partner teams through strong communication, and high-quality technical artifacts.- Professionally communicate your work to senior business leaders and the broader science community.- Work closely with software engineering teams to implement your scientific models.- Lead early-stage strategic sustainability initiatives and effectively learn from, collaborate with, and influence stakeholders to scale-up high-value initiatives.About the teamInclusive Team Culture: Here at Amazon, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Mentorship and Career Growth: We have a career path for you no matter what stage you’re in when you start here. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience- PhD, or Master's degree and 5+ years of quantitative field research experience- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.- Experience communicating qualitative research methods and findings to non-qualitative researchersPREFERRED QUALIFICATIONS- Experience converting research studies into tangible real-world changes- Experience with discrete and continuous optimization methodologies and algorithmsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $124,100/year in our lowest geographic market up to $212,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONThe People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon and the lives, wellbeing, and the value of work of Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We invest in innovation and rapid prototyping of scientific models, AI/ML technologies and software solutions to accelerate informed, accurate, and reliable decision backed by science and data.Key job responsibilitiesyou will collaborate with economists, academic scholars, machine learning scientists, SDEs and business line customers across the company to define and deliver on business value and employee experience. A successful candidate will have a passion for innovation, interest in cutting-edge science, and excitement about working in a high-impact domain.You will:• Define and drive the multi-year vision for the product portfolio and the team• Lead strategic planning to achieve technical and business goals.• Deliver long-lasting foundational systematic solutions that pave the way for effective Science.• Work with leaders across science, tech, product/program management, corporate and operations to identify and manage new and existing opportunities, initiatives and processes.• Deliver 3YP, Vision, PRFAQS, and BRD docs.• Own end-to-end product lifecycle.• Influence priorities and business strategy through quantitative and qualitative contributions.• Interact directly with stakeholders and users to continuously improve products and programs.• Define clear goals and objectives for the business in the planning and execution space while identifying risks and strategizing mitigation plans.• Mentor other product managersA day in the lifeAs Amazon PXT Central Science continues to expand in depth and breadth, the Principal Product Manager will be at the center of defining the vision and requirements for products that are efficient, relevant, and scalable to the business and deliver impactful science models to enable business leaders with actionable insights. Principal Product Manager will closely partner with Executive Leadership, Business Leaders, Software Developers, Scientists, Business Intelligence Engineers, Data Engineers, Product/Program Managers and internal users/customers.About the teamOur team builds distributed, performant, and highly available systems that enable Scientists to develop and deploy machine learning (ML) and econometrics models at scale. We own products including data lakes, ML tools, Data Management tools, analytic tools, web applications, and software solutions integrated with other Amazon systems. We engage in ML model engineering in collaboration with the Scientists to develop ML models for various areas like Attrition, Health, Safety, Comp, etc.We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USA | Seattle, WA, USA | Sunnyvale, CA, USABASIC QUALIFICATIONS- Bachelor's degree- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience technical product managementPREFERRED QUALIFICATIONS- Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvementAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $144,000/year in our lowest geographic market up to $279,900/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

DESCRIPTIONThe Data Science Manager will be a key leadership member the Credit team in Amazon Business Payments and Lending. This leader will lead the science team developing best-in-class underwriting systems. This role presents a significant intellectual, technical, and operational challenge with enormous opportunity for business impact. Amazon is dedicated to building credit/lending services that help small, medium, and large businesses worldwide. We believe we are in a unique position to serve our customers with exceptional value due to our deep understanding and insight into our base coupled with rigorous scientific approach and customer-focused emphasis to building financial products. This leader will be passionate about enabling the growth of small, medium, and large businesses and other to-be-launched segments by removing a critical barrier to deepening their activity on Amazon – access to capital.This leader will demonstrate high judgment and deep business experience across economic cycles. They will bring proven ability to identify and recommend data-driven solutions, navigating through complex financial and regulatory issues across geographies. This role is highly strategic and will interact with all levels across a broad range of teams and leaders across Amazon. This leader will need to work with our business and product management partners to communicate the properties of their team’s analysis/modeling. This leader owns the multi-year research agenda and prioritization for the team, and ensure that projects meaningful drive results. Key job responsibilities· Lead, mentor, and develop a top-performing data science team· Apply advanced analytics and ML techniques to support Credit Management processes· Source, incorporate, and analyze alternative credit data to drive innovation· Own data science team roadmap, balance multiple projects efficiently and achieve goals in a fast-paced, dynamic environment· Collaborate effectively with Credit Strategy, operation, product teams, and senior management at ABPL to underwrite new customers and manage portfolio risk· Enhance operating efficiencies and excellence, ensure high performant credit management science models · Promote a culture of transparency, integrity, and ethical use of data.We are open to hiring candidates to work out of one of the following locations:New York, NY, USA | Seattle, WA, USABASIC QUALIFICATIONS- Masters degree in a quantitative field (Statistics, Mathematics, Computer Science, Machine Learning or equivalent)- 7+ years experience in a data science role, applying ML to solve complex problems for large-scale applications; 3+ years experience in leadership role managing Machine Learning Scientists- 5+ years experience in credit underwriting or related work in financial services domain- Superior analytical skills. Demonstrated ability to identify and solve ambiguous problems- Demonstrated attention to detail and desire to roll up your sleeves- Demonstrated ability to operate both strategically and tactically in a high-energy, fast-paced environment. High degree of organization and ability to manage multiple, competing priorities.- Experience hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track- Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels- Proficiency in Python, SQL, or other programming languagePREFERRED QUALIFICATIONS- PhD in a quantitative field (Statistics, Mathematics, Computer Science, or equivalent from a top-tier institution)- 10+ years of practical experience applying ML to solve complex problems ; 5+ years experience managing Machine Learning Scientists- 8+ years experience in credit underwriting or related work in financial services domain; experience with B2B/commercial credit management is a plus- Project management experience for working on cross-functional projects- Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems- Experience developing machine learning solutions with AWS- Experience with big data platforms like Hadoop or Spark, and machine learning frameworks like TensorFlor or PytorchAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $140,100/year in our lowest geographic market up to $272,400/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

CarMax, the way your career should be!About this Job:It's an exciting time at CarMax! After decades of success and a rise to becoming the largest used car retailer in the US, CarMax is focused on disrupting the auto industry once again through our transformation to a leading omni-channel retailer. To achieve this goal, CarMax has spent the last few years investing heavily in modernizing our digital and analytical infrastructure to support our customer-centric experience as the customer shopping journey continues to evolve online. We're stitching data science throughout our business to drive a great customer experience and optimize our operations.As a Data Science Sr. Manager at CarMax, you'll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax's culture of innovation. You will be a leader in the analytic community - advancing the use of data science in high impact areas of our business.With millions of customer interactions every day, you'll be tapping the industry's best data to develop new algorithms and capabilities to enhance how Customers navigate their car buying journey, and to optimize Associate impact in the process.The Data Science Sr. Manager will serve as a technical team lead, working with the team in a hands-on-capacity to:Build and enhance predictive Customer Progression models:Employ a deep command of data science modeling techniques and statistics, leveraging a variety of technologies, programming languages, and cloud computing platformsApply expertise in model design, training, evaluation, validation, implementation, and monitoringUnlock insights by analyzing large amounts of complex proprietary customer, website, and transactional data, alongside external dataDevelop an acute understanding of our data, how to access it, analyze it, and monitor itAssist the team in designing controlled experiments to assess the value of new applicationsPartner with cross-functional teams -- eg Product, Operations, Strategy, Data Engineering, to:Create new use cases for data-powered productsDevelop and implement tools that enhance the Customer Experience and the Associate ExperienceDevelop sound data and modeling infrastructureCommunicate with all levels throughout the organization to understand the business opportunities, explain the models, and influence changeHelp prioritize and manage team projectsGrow and develop the team: delivering high quality analytics, promoting best practices, and fostering technical and professional developmentQualifications and Requirements:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functionsAdvanced Degree (Master's/Ph.D.) in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering)Strong analytical curiosity and passion for applying advanced modeling techniques in problem solving4+ years of experience in the following areas:Python and other languages appropriate for large scale analysis of numerical and textual dataData mining, machine learning, statistical modeling tools and underlying algorithmsData Lake and cloud computing fundamentals, Relational databases, SQLSound analytical thinker with a proven track record of providing actionable insights and clear strategic directionAbility to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organizationSolid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environmentAbility to train, mentor, and develop othersWork Location and Arrangement: Work location is flexible if within 100 miles of the Richmond, VA Technology Innovation Center or Dallas Technology Hub or Atlanta, GA CarMax Auto Finance Office if approved by the Company.Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. About CarMaxCarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide.Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.