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adult services librarian - business, science and technology Jobs in Seattle

adult services librarian business science and technology

City of Seattle

JOB
<br><b>Invitation to Compete #23-26:</b> Adult Services LibrarianBusiness, Science and TechnologyCentral Library, 1000 4th Ave., Seattle, WA 98104Regular, FLSA non-exempt, benefitted, part-time (64 hours per two-week period)Salary Range: $44.92 - $54.46 per hourSchedule: Week 1: Wed OFF, Thr 11:30-8, Fri 9:30-6, Sat OFF, Sun OFF, Mon 9:30-6, Tues 9:30-6Week 2: Wed 9:30-6, Thr 11:30-8, Fri OFF, Sat 9:30-6, Sun 9:30-6, Mon OFF, Tues OFFA pay period is two weeks in length that starts on Wednesday and ends on Tuesday. Hours will include weekdays, evenings and weekends. This is a fully in-person role. Anticipated regular schedule includes working every other weekend and two (2) to three (3) nights every two weeks. This schedule is subject to change based on the Library’s current operational need and is part of a bargaining unit represented by AFSCME. This position is open to the public and to The Seattle Public Library’s employees. Please read the How to Apply section of this bulletin for more information. Candidates are asked to submit their application materials in NEOGOV by 5:00 p.m. by April 26, 2026. Please note: This recruitment may be used for up to 90 days following the closing date of this posting to fill regular and temporary Librarian vacancies.OverviewThe Seattle Public Library is a dynamic urban library system that consists of the Central Library and 26 branch libraries and is Seattle's center of information and knowledge. The Seattle Public Library is one of the most popular and valued services in the city. Librarians are highly regarded by the public for their knowledge, quality of service, and caring. Our librarians are committed to the Library's values of care, connection, and learning; they are equity-minded, demonstrate respect when building community partnerships, and are transparent in their communications and intentions. The Library seeks to foster a culture of innovation which focuses on creativity, engagement, learning, staff well-being, and belonging.The Central Library in downtown Seattle serves a diverse patron base including people experiencing homelessness, children and teens, immigrants, students, researchers, readers, and others seeking information resources, enrichment, and technology support. We are seeking a dynamic, community-driven librarian to support the Business, Science, and Technology collections and services at the Central Library. This librarian will have responsibilities for offering nonfiction reference, maintaining a portion of the collection, and helping to coordinate virtual services for the library system. This librarian will lead projects, coordinate virtual services, and provide basic to advanced reference help for library patrons. They may develop community-focused programming. The ideal candidate will have an interest in the sciences and social sciences, and they will have experience working with racially, culturally, and economically diverse communities. They will have experience developing and delivering trainings for both the public and library staff. This position requires commitment to inclusionary and patron-centered practices as well as amplifying voices from historically marginalized communities. Writing, editing, and presentation skills are strongly preferred. This librarian will be part of a team of librarians reporting to the Assistant Managing Librarian for Business Science and Technology in the Central Library Information Services department. This adult services librarian is responsible for maintaining a safe and welcoming public environment utilizing principles of de-escalation. Experience providing service for people experiencing housing insecurity, living with addiction, or experiencing mental illness is preferred.If you are a librarian who is both self-directed and collaborative, and you have a passion for providing superior customer service, we invite you to apply for this Adult Services Librarian position. Please be sure to tell us why this position is of interest to you.
<br><br>
EXAMPLE OF DUTIES
<br><b>Cultural Competency:</b> Recognition of the need to continually develop and practice cultural competence in customer service, reference services, readers’ advisory, program development, community engagement, teamwork, and leadership with communities and staff that a librarian does not identify with. Community Engagement and Partnerships: Understand the role of community engagement in identifying community needs and goals, and develop relevant and responsive programs, services, and content that meet those needs. Engage with community members and organizations to develop and maintain both formal and informal relationships to realize outcomes that further community and Library goals. Understand the importance of bringing Library resources to where people are, both inside the library and spaces in the community.Reference Services and Readers’ Advisory: Assist patrons of all ages and interests in finding information they need and materials that surprise and delight. Support system-wide service initiatives and strategic priorities. Develop and deliver local targeted programming for area-specific populations. Develop and maintain expertise in a wide range of information resources in order to deliver high quality reference and readers advisory service in a variety of modes (in person, phone, virtual). Ensure that information resources and the Library’s collection reflect the range of information needs in the community and effectively serve the city’s diverse and growing population.Virtual Services: Provide coordination for online chat and email reference for the system. This includes working with the Assistant Managing Librarian to develop protocols, do quality assurance, train new staff, and provide ongoing support and updates.Program and Service Design, Development, Delivery and Evaluation: Commitment to continually support community needs and interests. Use community information to create relevant programs, services, and content that responds to specific community interests and needs. Design and deliver relevant training and instruction for the public and library colleagues. Create and give presentations to colleagues and peers, stakeholders, and/or the Library’s administration to market programming or obtain funding for future programming. Use evidence-based practices, data-driven decision-making, and outcomes-based evaluation practices to review and ensure programming is meeting expectations. Programmatic Leadership: Understand how the role of the librarian functions within the context of system-wide service initiatives and local service delivery. Initiate conversations with staff about service delivery and lead staff, volunteers, patrons, community partners, vendors, etc.Operational Leadership: Knowledgeable in the effective use of Library facilities, equipment, services, and programming. Cultivate healthy working relationships with colleagues locally and regionally, engaging with them in support of Library program and services. Project Management: Initiate, develop, execute, and manage projects, which may include communication and coordination with administration, marketing, budget office, leadership, and project teams; may lead projects, committees and work groups with manager direction and support. Develop and conduct outcomes-based evaluations.
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SUPPLEMENTAL INFORMATION
<br>How to ApplyThis recruitment will be open continuously. Candidates wishing to be considered in the first review should submit their application, cover letter, and resume in NEOGOV by 5:00 p.m. on April 26, 2026. Your application will not be considered if these items are missing or incomplete.Online application with responses to the supplemental questions.A cover letter that describes how your experience and skills align with the job responsibilities and qualifications. Please let us know why you want to do this work.Current resume that summarizes relevant education, experience, knowledge and skills.Applications that do not include a cover letter, resume, and complete online application will not be considered.Applicants will be screened for competitiveness, completeness, and written communication skills. Initial screening will be based on a review of application materials. The employment history detailed in your application materials MUST validate/support your responses to the supplemental questions. If your responses cannot be validated, you will not proceed to the next steps of the review/selection process. The most competitive candidates will be invited to participate in a series of one or more interviews.Benefits and Salary InformationThe full salary range for this position is $44.92 - $54.46 per hour The City of Seattle offers a comprehensive benefits package including vacation, holiday, and sick leave as well as medical, dental, vision, life, and long-term disability insurance for employees and their dependents. More information about employee benefits is available on the City's website at: https://www.seattle.gov/human-resources/benefits/employees-and-covered-family-members/most-employees-plansInformation about retirement plans can be found at: https://www.seattle.gov/retirementAdditional InformationIf you have questions regarding this bulletin or employment at The Seattle Public Library, please send an email to job.applications@spl.org. The Library promotes diversity and inclusion in employment. If accommodations are needed during the selection process, please contact us.Please keep in mind that job offers are contingent on a review of criminal history as well as verification of information provided by the applicant as part of the application process.

Adult Services Librarian - Business, Science and Technology

Era Living

<div><p><b>$21.30 per hour | Free Meals!</b></p>
<p>
Era Living is seeking a part time Librarian to become the newest member of our Life Enrichment team located in our University House Wallingford Community, Seattle, WA. This position is about two shifts (of 4 hours each) per week.</p>
<p><b>
Competitive Compensation/Benefits Package Includes:</b><br>
401(k) retirement plan with generous company match (eligibility contingent on age requirement)<br>
1 hour vacation for every 37.15 hours paid to start<br>
Double pay for holidays worked<br>
1 hour paid sick time for every 40 hours worked<br>
Employee Assistance Program<br>
Longevity bonuses<br>
Employee discount programs<br>
Pre-tax election commuter benefits</p>
<p><b>
Primary Responsibilities:</b><br>
The Librarian maintains a safe and organized library, oversees the addition of books to, and retirement of books from, the library and meets with residents on a regular basis to discuss the library&rsquo;s needs.</p>
<p><b>
Essential Duties &amp; Responsibilities:</b></p>
<p>
Purchases new books monthly as required; weeds outdated or unused materials regularly<br>
Catalogs collection<br>
Promotes the library and its services to residents and family members<br>
Reviews any donated materials to assess the need and/or, suitability for the library<br>
Provides technology help to residents<br>
Leads Library Committee meetings<br>
Writes content and maintains the UHS Library Blog<br>
Writes articles for the UHS Highlights newsletter<br>
Serves as liaison between Resident Library Committee and Life Enrichment department<br>
Partners with the Life Enrichment Director (LED) to recruit and train UHS/UW partnership MLIS student librarian</p>
<p><b>
Knowledge, Skills, and Abilities:</b></p>
<ul>
<li><p>Ability to learn established systems and apply that knowledge</p>
</li>
<li>Ability to use MS Office Suite</li>
<li>Ability to read, write and communicate in English</li>
<li>Ability to pass DSHS and State background check required</li>
</ul>
<p><b>Education and Experience:</b></p>
<ul>
<li>High-school diploma or GED, required</li>
<li>One-year college coursework in library science or equivalent education and experience.</li>
<li>Must be enrolled or have previously been enrolled in the MLIS student program at the University of Washington.</li>
</ul>
<p><b>About Era Living:</b></p>
<p>
If you are passionate about improving the quality of life for older adults and exemplify a values based approach to your work, demonstrating integrity, credibility, consistency, strong team orientation, and outstanding communication, we welcome your application!</p>
<p>
Era Living was voted &ldquo;2023/2024/2025 Winner: Best in the Pacific Northwest &ndash; Senior Community&rdquo; by the Seattle Times.</p>
<p>
#eraliving</p></div><p></p>

Librarian

Weyerhaeuser

<div></div><div><div><b>Description</b><div></div><p>
Weyerhaeuser Company is one of the world's largest private owners of softwood timber and one of the world's largest producers of softwood lumber, hardwood lumber, engineered lumber, softwood market pulp, and containerboard and paper-based packaging products. Our IT teams combine cutting-edge technology to continuously changing inventory to collect, store, transform and report on data to our key business partners.</p><p>
Weyerhaeuser's Data Management &amp; Analytics team is searching for someone who is passionate and enthusiastic about supporting a data-driven organization. The focus of this internship will be to partner with our data analytic engineers, data platform engineers, data scientists, and business partners to build data products on our modern data platform leveraging cloud-based tools including Snowflake, DBT, and Azure Data Factory, Microsoft Purview, and Power BI. Opportunities are available depending on the intern's skillset to work back-end data ingestion pipelines and platform services, and/or transforming and modelling raw data into actionable insights with certified datasets and dashboards. Our team works with a broad set of internal and external data sources across our core business segments and corporate function teams.</p><p>
Are you looking for a role that is exciting, and a place where you can innovate and drive valuable insights for our company? Internship is approximately 5 1/2 months beginning July 2026 in Seattle, WA. Hybrid work schedule with in-office days Tuesday-Thursday.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Deliver end-to-end data and analytics pipelines and data products, which can include data ingestion, data transformation, data modelling, data quality, data science, AI semantic model development, and data visualization.</li><li>
Participate in the entire lifecycle for data application delivery from requirements gathering, design, build, test, and rollout to business stakeholders.</li><li>
Identify, develop, and maintain solutions that automate, simplify, and overall improve service delivery.</li><li>
Embrace DevOps to quickly deploy high quality solutions with standard CI/CD and IaC practices.</li><li>
Partner with cross-functional teammates to help translate business needs into analytical approaches and solutions.</li><li>
Communicate findings and recommendations clearly through visualizations, summaries, and presentations.</li><li>
Contribute to documentation, testing, and continuous improvement of analytics workflows and data science processes.</li><li>
Follow all IT general controls and IT security policies.</li></ul></div><div><b>
Qualifications</b><div></div><ul><li>
Currently pursuing a bachelor's degree program in Computer Science, Information Systems or a related field or graduated within 6 months of application.</li><li>
Experience working or exposure to data services in cloud platforms like Azure, AWS, or Google</li><li>
Experience coding in one of the following languages (SQL, Python, Java, DAX, R)</li><li>
Demonstrated ability to quickly learn new tools and technologies.</li><li>
Experience working with GIT source code control</li></ul><p><b>
Preferred:</b></p><ul><li>
Exposure or experience with ETL processing tools</li><li>
Exposure or experience working with Snowflake, Databricks, or related datalake technology</li><li>
Exposure or experience with AI code generation/productivity tools</li><li>
Exposure or experience with creating datasets, and data visualizations (Power BI, Tableau, Looker)</li><li>
Exposure or experience working with SAP or ERP data sources</li><li>
Exposure or experience with machine learning tools</li></ul><p><b>
Compensation: </b>The pay rate for this position is $25 per hour.</p><p><b>
About Weyerhaeuser</b><br>
We sustainably manage forests and manufacture products that make the world a better place. We&rsquo;re serious about safety, driven to achieve excellence, and proud of what we do. With multiple business lines in locations across North America, we offer a range of exciting career opportunities for smart, talented people who are passionate about making a difference.<br>
<b>We know you have a choice in your career. We want you to choose us.</b></p><p><i>
Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.</i></p></div><div><b><br>
Job</b> Information Technology</div><div><b>
Primary Location</b>USA-WA-Seattle</div><div><b>
Schedule</b> Full-time</div><div><b>
Job Level</b> Entry Level</div><div><b>
Job Type</b> Internship</div><div><b>
Shift</b> Day (1st)</div><div><b>
Relocation Assistance</b> Not Available</div></div>

IT Intern - Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
This role leads the science function in WW Stores Finance as part of the IPAT organization (Insights, Planning, Analytics and Technology), driving transformative innovations in financial analytics through AI and machine learning across the global Stores finance organization. The successful candidate builds and directs a multidisciplinary team of data scientists, applied scientists, economists, and product managers to deliver scalable solutions that fundamentally change how finance teams generate insights, automate workflows, and make decisions. As part of the WW Stores Finance leadership team, this leader partners with engineering, product, and finance stakeholders to translate emerging AI capabilities into production systems that deliver measurable improvements in speed, accuracy, and efficiency. The role's outputs directly inform VP/SVP/CFO/CEO leadership decisions and drive impact across the entire Stores P&amp;L.<br>
<br>
Success requires translating complex technical concepts for finance domain experts and business leaders while maintaining deep technical credibility with science and engineering teams. The role demands both strategic vision&mdash;identifying high-impact opportunities where AI can transform finance operations&mdash;and execution excellence in coordinating project planning, resource allocation, and delivery across multiple concurrent initiatives. This leader establishes methodologies and models that enable Amazon finance to achieve step-change improvements in both the speed and quality of business insights, directly supporting critical processes including month-end reporting, quarterly guidance, annual planning cycles, and financial controllership.<br>
<br>
Key job responsibilities<br>
Transformation of Finance Workflows &mdash; Lead development of agentic AI solutions that automate routine finance tasks and transform how teams communicate business insights. Deploy these solutions across financial analysis, narrative generation, and dynamic table creation for month-end reporting and planning cycles. Partner with engineering and product teams to integrate these capabilities into production systems that directly support Stores Finance and FGBS automation goals, delivering measurable reductions in manual effort and cycle time.<br>
<br>
Science-Based Forecasting &mdash; Develop and deploy machine learning forecasts that integrate into existing planning processes including OP1, OP2, and quarterly guidance cycles. Partner with finance teams across WW Stores to iterate on forecast accuracy, applying these models either as alternative viewpoints to complement bottoms-up forecasts or as hands-off replacements for manual forecasting processes. Establish evaluation frameworks that demonstrate forecast performance against business benchmarks and drive adoption across critical planning workflows.<br>
<br>
Financial Controllership &mdash; Scale AI capabilities across controllership workstreams to improve reporting accuracy and automate manual processes. Leverage generative AI to identify financial risk through systematic pattern recognition in transaction data, account reconciliations, and variance analysis. Develop production systems that enhance decision-making speed and quality in financial close, audit preparation, and compliance reporting, delivering quantifiable improvements in error detection rates and process efficiency.<br>
<br>
About the team<br>
IPAT (Insights, Planning, Analytics, and Technology) is a team in the Worldwide Amazon Stores Finance organization composed of leaders across engineering, finance, product, and science. Our mission is to reimagine finance using technology and science to provide fast, efficient, and accurate insights that drive business decisions and strengthen governance.<br>
<br>
We are dedicated to improving financial operations through innovative applications of technology and science. Our work focuses on developing adaptive solutions for diverse financial use cases, applying AI to solve complex financial challenges, and conducting financial data analysis. Operating globally, we strive to develop adaptable solutions for diverse markets. We aim to advance financial science, continually improving accuracy, efficiency, and insight generation in support of Amazon's mission to be Earth's most customer-centric company.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree or equivalent in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field</li><li>Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution</li><li>Experience managing and deploying ML products</li><li>Demonstrated expertise designing and optimizing model architectures and pipelines</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using complex modeling and analysis to inform key business decisions</li><li>Experience using data and metrics to drive actionable insights at scale</li><li>Experience conveying complex technical concepts to both technical and business audiences</li><li>Knowledge of financial controls and procedures</li><li>Demonstrated success partnering with cross-functional teams and business units</li><li>Experience leading the transformation and automation of traditional methodologies and workflows through AI/Agentic AI</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 208,300.00 - 281,800.00 USD annually</div><p></p>

Senior Manager, Research Science, WW Stores Finance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.<br>
<br>
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
We are looking for a Principal Science Technical Product Manager to lead the development and scaling of science-based solutions that power key customer experiences and supply chain decisions. In this cross-functional role, you will collaborate with applied/data science, engineering, operations, other product managers, and executive teams to bring AI/ML products to market, develop and grow business opportunities, and enhance our platform capabilities.<br>
<br>
Duties will include formulating a business vision for your product domain, gathering business and functional requirements from internal customers and end-users, and translating those requirements into technical specifications to build robust, scalable, and supportable solutions that work well with a range of complex systems. The Technical Product Manager serves as the technical as well as business lead throughout the entire development lifecycle including scoping, planning, conceptualizing, designing, testing, documenting, and shipping the product to the end customer, keeping in mind issues around tech debt, scalability, performance and latency, and compatibility with technology and business goals.<br>
<br>
Key job responsibilities<br>
<ul><li>Define and drive the product vision and roadmap for science-based products and cross-functional AI/ML initiatives for the digital supply chain</li><li>Collaborate with applied/data science teams to translate business problems into model requirements, ensuring technical feasibility and alignment with product goals</li><li>Work closely with science, engineering, operations, and business stakeholders to prioritize features and experiments</li><li>Own the full product lifecycle: from data acquisition, model development, experimentation, evaluation, deployment, and continuous monitoring</li><li>Evangelize model-driven decision-making across partner teams; help establish adoption mechanisms</li></ul><br>
About the team<br>
We are responsible for the end-to-end digital video supply chain that powers Prime Video. Our vision is to build the most efficient, flexible, innovative, highly performant digital content supply chain in the world that is the backbone of Prime Video&rsquo;s delightful customer experience, and provides content creators the tools, building blocks, and distribution to reach familiar and new audiences, tell new kinds of stories, and inspire them to think differently.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of technical product or program management experience</li><li>2+ years of end to end product delivery experience</li><li>Experience leading engineering discussions around technology decisions and strategy related to a product</li><li>Experience owning/driving roadmap strategy and definition</li><li>Experience with feature delivery and tradeoffs of a product</li><li>Bachelor's degree</li><li>Background in applied science or engineering, with solid understanding of model lifecycle, data readiness, and model evaluation frameworks; proven experience shipping data product or ML-based solutions at scale</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in project management methodologies, business analysis, or process improvement</li><li>Experience driving adoption of new and disruptive technologies</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Culver City - 179,900.00 - 243,400.00 USD annually<br>
USA, WA, SEATTLE - 179,900.00 - 243,400.00 USD annually</div><p></p>

Principal Product Manager Tech, Prime Video

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale.<br>
<br>
We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale.<br>
As part of our diverse team&mdash;including data scientists, engineers, language engineers, linguists, and program managers&mdash;you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence.
<br>
<br>
Key job responsibilities<br>
In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.<br>
Specific responsibilities include:<br>
<ul><li>Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features</li><li>Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings</li><li>Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases</li><li>Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance</li><li>Develop and refine annotation guidelines and quality frameworks for evaluation tasks</li><li>Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies</li><li>Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements</li><li>Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts</li><li>Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets</li></ul><br>
About the team<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;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 conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Hybrid Work<br>
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually<br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, AWS Quick Data

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li> 15+ years of experience working as technical program manager envisioning, road mapping, story lining, and implementation in an agile environment
</li></ul><ul><li> 5+ Years of experience working on Data and Analytics projects as a program manager specializing in Databases, Data Warehouses
</li></ul><ul><li> Experience with user research, rapid prototyping, value proposition definition, design thinking, and analytics
</li></ul><ul><li> Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings and cross team alignments
</li></ul><ul><li> Demonstrated ability to establish working relationships with technology &amp; business partners and cross teams
</li></ul><ul><li> Excellent communication, stakeholder management, and conflict resolution skills.</li></ul><br>
<div><br>
</div><div>Preferred Qualifications:
</div><ul><li> Bachelor&rsquo;s degree or higher
</li></ul><ul><li> PMP, CSM, or SAFe certification or similar
</li></ul><ul><li> 2+ Years of experience working on Data Science and AI projects
</li></ul><ul><li> Exposure to tools like JIRA, Confluence, Power BI, Tableau, or similar</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Lead end-to-end delivery of enterprise-scale analytics projects, ensuring alignment with business goals and technical standards.
</li></ul><ul><li> Translates customer needs into well-specified user stories, enabling pod-based software developers to build solutions
</li></ul><ul><li> Develops and maintains comprehensive plans and roadmaps, ensuring that features are delivered on time and within scope, and that they add business value
</li></ul><ul><li> Drive end-to-end development, from inception to production and maintenance; improves through iterative sprints to fulfil vision and end user needs by incorporating feedback from end users
</li></ul><ul><li> Collaborate with data architects, engineers, analysts, and business stakeholders to define project requirements and success metrics.
</li></ul><ul><li> Possesses a deep understanding of the technology stack (or ability, willingness, and understanding to learn technology stack) and impact on final product.
</li></ul><ul><li> Provide regular updates to executive leadership and stakeholders through dashboards, reports, and presentations.
</li></ul><ul><li> Manage scope, timelines, budgets, and resources across programs
</li></ul><ul><li> Tracks and manages technical and non-technical risks</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills, If any
</div><ul><li> Experience working on Agile projects and Agile methodology in general
</li></ul><ul><li> Ability to serve as empathetic &ldquo;voice of the customer,&rdquo; with strong communication skills
</li></ul><ul><li> Ability to communicate complex messages and trade-offs, and to tell compelling stories
</li></ul><ul><li> Problem-solving capability with ability to manage an d lead the team to drive solutions
</li></ul><ul><li> Strong collaborator, and team player</li></ul><br>
<div><br>
</div><div>Base Salary Range : $100,000 to $125,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Program Manager</div>
</div><div><div><b>Job Id</b></div>
<div>403107</div>
</div><div><div><b>Desired Skills</b></div>
<div>Program Management</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$125,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Technical Program Manager

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