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data journalist, economics & research group Jobs in Seattle

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data journalist economics research group

Modus Closing

<div><div>At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we&rsquo;re revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.</div>
About the Role:

The CIH Data &amp; Analytics organization produces data-driven research and content that help agents, consumers, and the media understand what's happening in housing markets. We are looking for a Data Journalist to help us find the story in the data and bring it to life for a broad audience.

You will work directly with the Chief Economist to turn housing market analysis into editorial content &mdash; reports, commentaries, social media, and visualizations &mdash; that is accurate, engaging, and built on rigorous data.

Responsibilities:

Writing &amp; Editing
<ul>
<li>Write and edit market reports, economic commentaries, and narrative summaries of housing data for agents, consumers, and media.</li>
<li>Translate findings from quantitative analysis into stories that are accessible to non-expert audiences.</li>
<li>Edit and refine content from the economics team for clarity, structure, and narrative coherence.</li>
<li>Contribute to regular publications including market outlooks, regional reports, and luxury market coverage.</li>
</ul>
Data Journalism &amp; Research
<ul>
<li>Work with housing and economic datasets to identify trends, anomalies, and narratives worth telling.</li>
<li>Collaborate with the Chief Economist to develop story angles and frame data findings as editorial content.</li>
<li>Fact-check data claims and ensure accuracy and consistency across all published content.</li>
</ul>
Data Visualization
<ul>
<li>Produce charts, graphics, and interactive visualizations that communicate data findings effectively.</li>
<li>Develop a consistent visual style for Compass research output across reports, presentations, and social media.</li>
<li>Work with tools such as Flourish, Datawrapper, or similar platforms.</li>
</ul>
Content Distribution
<ul>
<li>Adapt research content for different formats and channels, including social media, email, press releases, and agent-facing materials.</li>
<li>Support media and PR efforts by preparing data summaries and backgrounders for journalists.</li>
</ul>
Requirements:
<ul>
<li>Career experience: 5+ years of experience as a data journalist, business reporter, analyst, writer, or editor in online media or print journalism</li>
<li>Bachelor's degree or higher in Journalism, Communications, Economics, or a related field.</li>
<li>Proven track record of published work translating data or economic topics for general audiences.</li>
<li>Experience working directly with data &mdash; pulling, cleaning, and analyzing datasets to find the story. Experience with tools such as Excel, Python, or R.</li>
<li>Experience producing graphics for publication using tools such as Flourish, Datawrapper, or similar.</li>
<li>Strong understanding of economics, financial markets, and real estate.</li>
</ul>
Other Skills:
<ul>
<li>Background in business, financial, or economic journalism.</li>
<li>Experience at a media outlet, research firm, or within a chief economist's team.</li>
<li>Familiarity with real estate data sources such as MLS, Census, or BLS.</li>
<li>Experience producing content for both editorial and brand publishing contexts.</li>
<li>You should know and exemplify the Compass Entrepreneurship Principles</li>
</ul>
Research &amp; Analysis
<ul>
<li>Monitor and synthesize macroeconomic trends, including Fed policy, labor markets, consumer sentiment, inflation, and interest rates, and translate their implications for residential real estate markets.</li>
<li>Produce regional and local market analyses that bring national macro insights down to the metro, neighborhood, and price-tier level.</li>
<li>Contribute research on topics such as luxury market dynamics, the impact of AI on labor markets and housing demand, and geographic market segmentation.</li>
</ul>
Content &amp; Communication
<ul>
<li>Write research reports, market commentaries, and data-driven narratives for agents, consumers, journalists, and institutional partners.</li>
<li>Contribute analysis and writing to Compass market intelligence publications, including luxury and high-end market reporting.</li>
<li>Prepare data summaries, charts, and talking points for media and PR efforts.</li>
</ul>
Data Visualization &amp; Presentation
<ul>
<li>Produce data visualizations that make economic and housing data accessible and engaging.</li>
<li>Build presentation materials for agents, sales meetings, and leadership briefings.</li>
</ul>
Modeling &amp; Forecasting
<ul>
<li>Build and maintain housing market forecasting models incorporating macroeconomic inputs such as mortgage rates, employment, and GDP.</li>
<li>Apply econometric techniques including regression analysis and time series modeling to support market outlooks.</li>
</ul>
Requirements:
<ul>
<li>Graduate degree in Economics, Applied Economics, Real Estate, Statistics, or a related quantitative field preferred.</li>
<li>Strong understanding of macroeconomics with knowledge of housing markets, mortgage finance, Fed policy, labor markets, and consumer economics.</li>
<li>Excellent communication skills with the ability to explain economic concepts to non-expert audiences.</li>
<li>Experience producing charts and graphics for research or media; familiarity with tools such as Flourish or Datawrapper.</li>
<li>Experience producing published research, market reports, or economic commentary.</li>
</ul>
Other Skills:
<ul>
<li>Experience in real estate economics, housing finance, or urban economics.</li>
<li>Background at a research institution, think tank, bank, or government agency.</li>
<li>Experience collaborating with editorial or communications teams on consumer-facing content.</li>
<li>You should know and exemplify the Compass Entrepreneurship Principles</li>
</ul>
Compensation: The base pay range for this position is $125,500-$139,400 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.<div><div>

Perks that You Need to Know About:

Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance.</div> 
<div></div>
<div>Do your best work, be your authentic self.</div>
<div>At Compass, we believe that everyone deserves to find their place in the world &mdash; a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to <div>diversity, equity, inclusion,</div> growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers.</div></div></div><div></div>

Data Journalist, Economics & Research Group

Compass

<div><div>At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we're revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.</div>
About the Role:

The CIH Data &amp; Analytics organization produces data-driven research and content that help agents, consumers, and the media understand what's happening in housing markets. We are looking for a Data Journalist to help us find the story in the data and bring it to life for a broad audience.

You will work directly with the Chief Economist to turn housing market analysis into editorial content &mdash; reports, commentaries, social media, and visualizations &mdash; that is accurate, engaging, and built on rigorous data.

Responsibilities:

Writing &amp; Editing
<ul>
<li>Write and edit market reports, economic commentaries, and narrative summaries of housing data for agents, consumers, and media.</li>
<li>Translate findings from quantitative analysis into stories that are accessible to non-expert audiences.</li>
<li>Edit and refine content from the economics team for clarity, structure, and narrative coherence.</li>
<li>Contribute to regular publications including market outlooks, regional reports, and luxury market coverage.</li>
</ul>
Data Journalism &amp; Research
<ul>
<li>Work with housing and economic datasets to identify trends, anomalies, and narratives worth telling.</li>
<li>Collaborate with the Chief Economist to develop story angles and frame data findings as editorial content.</li>
<li>Fact-check data claims and ensure accuracy and consistency across all published content.</li>
</ul>
Data Visualization
<ul>
<li>Produce charts, graphics, and interactive visualizations that communicate data findings effectively.</li>
<li>Develop a consistent visual style for Compass research output across reports, presentations, and social media.</li>
<li>Work with tools such as Flourish, Datawrapper, or similar platforms.</li>
</ul>
Content Distribution
<ul>
<li>Adapt research content for different formats and channels, including social media, email, press releases, and agent-facing materials.</li>
<li>Support media and PR efforts by preparing data summaries and backgrounders for journalists.</li>
</ul>
Requirements:
<ul>
<li>Career experience: 5+ years of experience as a data journalist, business reporter, analyst, writer, or editor in online media or print journalism</li>
<li>Bachelor's degree or higher in Journalism, Communications, Economics, or a related field.</li>
<li>Proven track record of published work translating data or economic topics for general audiences.</li>
<li>Experience working directly with data &mdash; pulling, cleaning, and analyzing datasets to find the story. Experience with tools such as Excel, Python, or R.</li>
<li>Experience producing graphics for publication using tools such as Flourish, Datawrapper, or similar.</li>
<li>Strong understanding of economics, financial markets, and real estate.</li>
</ul>
Other Skills:
<ul>
<li>Background in business, financial, or economic journalism.</li>
<li>Experience at a media outlet, research firm, or within a chief economist's team.</li>
<li>Familiarity with real estate data sources such as MLS, Census, or BLS.</li>
<li>Experience producing content for both editorial and brand publishing contexts.</li>
<li>You should know and exemplify the Compass Entrepreneurship Principles</li>
</ul>
Research &amp; Analysis
<ul>
<li>Monitor and synthesize macroeconomic trends, including Fed policy, labor markets, consumer sentiment, inflation, and interest rates, and translate their implications for residential real estate markets.</li>
<li>Produce regional and local market analyses that bring national macro insights down to the metro, neighborhood, and price-tier level.</li>
<li>Contribute research on topics such as luxury market dynamics, the impact of AI on labor markets and housing demand, and geographic market segmentation.</li>
</ul>
Content &amp; Communication
<ul>
<li>Write research reports, market commentaries, and data-driven narratives for agents, consumers, journalists, and institutional partners.</li>
<li>Contribute analysis and writing to Compass market intelligence publications, including luxury and high-end market reporting.</li>
<li>Prepare data summaries, charts, and talking points for media and PR efforts.</li>
</ul>
Data Visualization &amp; Presentation
<ul>
<li>Produce data visualizations that make economic and housing data accessible and engaging.</li>
<li>Build presentation materials for agents, sales meetings, and leadership briefings.</li>
</ul>
Modeling &amp; Forecasting
<ul>
<li>Build and maintain housing market forecasting models incorporating macroeconomic inputs such as mortgage rates, employment, and GDP.</li>
<li>Apply econometric techniques including regression analysis and time series modeling to support market outlooks.</li>
</ul>
Requirements:
<ul>
<li>Graduate degree in Economics, Applied Economics, Real Estate, Statistics, or a related quantitative field preferred.</li>
<li>Strong understanding of macroeconomics with knowledge of housing markets, mortgage finance, Fed policy, labor markets, and consumer economics.</li>
<li>Excellent communication skills with the ability to explain economic concepts to non-expert audiences.</li>
<li>Experience producing charts and graphics for research or media; familiarity with tools such as Flourish or Datawrapper.</li>
<li>Experience producing published research, market reports, or economic commentary.</li>
</ul>
Other Skills:
<ul>
<li>Experience in real estate economics, housing finance, or urban economics.</li>
<li>Background at a research institution, think tank, bank, or government agency.</li>
<li>Experience collaborating with editorial or communications teams on consumer-facing content.</li>
<li>You should know and exemplify the Compass Entrepreneurship Principles</li>
</ul>
Compensation: The base pay range for this position is $125,500-$139,400 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.<div><div>

Perks that You Need to Know About:

Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance.</div> 
<div></div>
<div>Do your best work, be your authentic self.</div>
<div>At Compass, we believe that everyone deserves to find their place in the world &mdash; a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to diversity, equity, inclusion, growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers.</div>

Notice for California Applicants

Los Angeles County Fair Chance Notice</div></div>

Expedia Group

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.
Are you passionate about using machine learning to outsmart fraud and protect millions of travelers and partners worldwide? Would you like to work in the fast-paced, adversarial, high-scale, and data-rich world of online travel risk?
As Senior Manager, Machine Learning Science focused on Fraud &amp; Risk at Expedia Group, you will lead a team of machine learning scientists building the models and AI systems that keep our marketplace safe from abuse while preserving a low-friction experience for legitimate customers.
The Fraud &amp; Risk team plays a pivotal role in safeguarding the company&rsquo;s finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security: we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, we foster trust among travelers and providers, making Expedia&rsquo;s sustained revenue growth possible.
We are looking for a highly technical ML leader with deep experience in supervised learning for tabular and text data, strong familiarity with unsupervised, sequential, and graph‑based methods, and a track record of shipping production ML systems. You and your team will own a portfolio of high‑impact ML products across Expedia&rsquo;s fraud prevention landscape, partnering closely with product, engineering, and operations teams to design and ship real‑time decisioning systems. You are excited to evolve our team&rsquo;s modeling approaches beyond our current baselines, raising the bar with modern methods such as sequence models, graph-based approaches, and research-driven GenAI techniques to dramatically improve performance and reduce manual queueing on complex fraud problems. You combine strong technical judgment with clear communication, stakeholder influence, and a passion for driving innovation on the team by growing talent, raising the quality bar, and building an inclusive, high‑performing culture in one of Expedia Group&rsquo;s most dynamic and mission‑critical problem spaces.
In this role, you will:
<ul><li>Lead, Mentor, and Develop: Mentor and grow a team of machine learning scientists, fostering a culture of innovation, collaboration and scientific rigor.
</li><li>Strategic Planning &amp; Delivery: Define and manage the team's strategic roadmap, setting goals (OKRs) and aligning projects with broader business objectives in the online travel domain. Translate this roadmap into effective delivery of ML-drive features and products.
</li><li>Influence and Collaborate: Act as a key scientific leader, partnering with product, engineering, and business executives to align strategy and communicate complex technical concepts to a diverse audience.
</li></ul>Minimum Qualifications:
Experience &amp; Education
<ul><li>PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
</li><li>5+ years of industry experience applying machine learning to solve real-world problems.
</li><li>2+ years of direct people management experience with a proven track record of hiring, mentoring, and developing a high-performing team of machine learning scientists.
</li></ul>Functional &amp; Technical Skills:
Technical &amp; Scientific Excellence:
<ul><li>Deep expertise in machine learning theory, and learning algorithms (supervised and unsupervised), including a strong understanding of assumptions and limitations.
</li><li>Ability to design end-to-end ML solutions based on deep understanding of business requirements, including approach, algorithm choice, data strategy, deployment, and monitoring.
</li><li>Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) in real-world settings, with awareness of their trade-offs and deployment considerations.
</li><li>Champion of software engineering best practices (e.g., version control, code reviews) within the team.
</li><li>Hands-on fluency in Python and its data science ecosystem (e.g., PySpark, scikit-learn), and SQL. Technical depth to unblock your team and contribute to architectural decisions.
</li></ul>Leadership &amp; People Management:
<ul><li>A passion for fostering healthy team culture that brings a balanced approach to individual team member career growth and collective goal of delivering impactful work.
</li><li>Demonstrated ability to lead, mentor, and grow ML/DS talent, fostering a culture of innovation, scientific rigor, and psychological safety.
</li><li>Strategic thinking and business acumen to align ML initiatives with organizational goals and measurable impact.
</li><li>Strong storytelling and influencing skills to build trust, drive alignment, and support high-stakes decisions.
</li></ul>Preferred Qualifications:<ul><li>
Advanced domain knowledge in fraud, e-commerce, and operational applications of ML
</li><li>Hands-on experience building and deploying models using GenAI / LLM technologies (e.g., OpenAI, Anthropic Claude, Google Gemini, Hugging Face), including fine-tuning and prompt engineering for production use cases.
</li><li>Understanding of multi-agent architectures and best practices in agentic AI design and practical experience with function calling / tool use and API-based reasoning models to drive automated workflows.
</li><li>Experience with real-world AI evaluation techniques (golden sets, synthetic data generation, offline and interactive testing) for GenAI systems.
</li></ul>Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Senior Manager, Machine Learning Science - Fraud & Risk

University Of Washington

<div>Job Description
The University of Washington is one of the world&rsquo;s preeminent public universities in impact and funding. Since 1972, the UW has continued to receive more externally sponsored research funding than any other U.S. public university and is one of the few universities in the U.S. with total research funding nearing two billion. That funding drives crucial, ground-breaking research that transforms lives around the globe. In the Office of Research at UW, we take pride in creating an outstanding climate of support for UW researchers that helps them compete and succeed. However, the complexity of research administration and regulation grows each day. Our mission in ORIS (Office of Research Information Services) is to reduce that administrative burden by streamlining and automating information services so researchers can spend more time researching.
The Data Engineer/DBA (Database Administrator) will be responsible for ensuring the stability, performance, and security of the databases and data that support ORIS systems. ORIS&rsquo;s data infrastructure supports systems and services used by award-winning faculty and staff to perform administrative activities including submission of funding applications for consideration, routing them electronically for approval, managing detailed multi-year grant budgets, integrating with other UW systems, and providing reporting capabilities to academic and administrative users. This will reduce the administrative burden on researchers across the University by improving the amount of time researchers can spend on researching; improving University compliance; and ensuring that the University can continue to be at the forefront of academic research.
The Data Engineer/DBA position is charged with ensuring that database resources meet security, performance, reliability, and availability requirements. The Data Engineer/DBA will partner with development teams across multiple products and will need to work with different database systems and hosting platforms. The DBA will provide consultation and assistance in database and data design and will be responsible for provisioning, optimization, operations, and business continuity. The Data Engineer/DBA will work to ensure secure and dependable database performance and operations through implementation, test, integration test, and migration and production deployment and cutover phases. Operations consist of supporting a range of data software components, infrastructure, integrations, and services, some of which target 24/7/365 availability.
Successful candidates must have a solid background in design and implementation of databases and other data infrastructure that support online applications, reporting and analytics, and integrations with other systems.
The Data Engineer/DBA supports databases across platforms and products, both in the cloud and on-premises. The Data Engineer/DBA must provide support through all phases of development as well as production support. A successful person in this position must &hellip;
<ul><li>Collaborate and consult with multiple teams of diverse staff including junior and senior engineering staff as well as technical leads, product owners, and project managers across multiple products.
</li><li>Align data and database configuration, maintenance, and operations with overall ORIS IT operational goals and business objectives as outlined by ORIS program portfolio that supports UW&rsquo;s $1.89 billion research enterprise.
</li><li>Lead, plan, and advise on the strategic and tactical direction of all facets of data and database administration across multiple products, from meeting minimum security requirements to ensuring stability, performance, and availability requirements are met.
</li></ul>This position advances the Office of Research&rsquo;s mission to support the integration of electronic research information systems both as a data engineer, ensuring the optimized and performance applications with the data layer and, as an administrator, ensuring the security and reliability of ORIS&rsquo;s core database operations. This will reduce the administrative burden on researchers across the University by improving the amount of time researchers can spend on researching; improving University compliance; and ensuring that the University can continue to be at the forefront of academic research.
Responsibilities:
Operations and Administration &ndash; 60%
<ul><li>Design, deploy, configure, maintain, and deprecate database environments, databases, data schema, and data elements to support novel applications development and support
</li><li>Develop and assist with SQL query design for applications and reporting to meet organizational needs and ORIS commitments
</li><li>Recommend, design, implement, and maintain automation to reduce repetitive software development and maintenance tasks and increase application performance
</li><li>Maintain configuration and management of databases across Non-Prod and Prod environments to ensure optimal uptime and performance for ORIS products and services
</li><li>Engage and participate in ORIS&rsquo; culture of review both as reviewer and reviewee to ensure shared knowledge of development practices and high-quality code
</li><li>Implement and maintain regular database backup and retention plans to ensure that database archiving and disposition requirements are met
</li><li>Determine, implement, and maintain performance monitoring and tuning strategies to ensure that databases operate within security, reliability, and availability requirements
</li><li>Configure logging and monitoring to ensure reliable and accurate reporting on database and application health and performance
</li><li>Participate in software release (possibly including off hours release and update times)
</li><li>Plan and carry out any needed data migrations and system upgrades and updates
</li><li>Monitor ETLs and other regular or scheduled database processes and take appropriate steps when failures occur
</li><li>Research and respond to alerts and notifications of real or potential issues to proactively communicate and address problems
</li><li>Research data and database issues as they pertain to production support and non-production support requests, including application SQL queries
</li><li>Ensure business continuity and disaster recovery for ORIS databases
</li><li>Troubleshoot and resolve application and data infrastructure incidents
</li></ul>Technical Planning, Consultation, and Collaboration &ndash; 25%
<ul><li>Partner with development teams to ensure data and database components and mechanisms meet all functional and non-functional requirements, including data modeling, data schema design, database design, query development and optimization, and similar tasks
</li><li>Participate in UW technology integration initiatives that involve ORIS supported systems
</li><li>Participate in organizational risk assessment activities, security planning, and vendor analysis to ensure solutions meet data and data infrastructure standards
</li><li>Build strong relationships, working with diverse technical and business partner groups, both internal and external to the University of Washington
</li><li>Effectively communicate and collaborate technical information with a wide range of people with varying levels of technical expertise
</li></ul>Administrative Duties &ndash; 10%
<ul><li>Attend recurring organization meetings and one-on-ones with a supervisor.
</li><li>Engage in unplanned communications
</li><li>Participate in recurring HR processes
</li></ul>Professional and Organizational Development &ndash; 5%
<ul><li>Maintain an awareness of industry, institutional, and organizational trends, best practices, and standard solutions
</li><li>Socialize key concepts, industry best practices, and organizational principles, strategies, and conventions related to data and database administration to both technical and non-technical staff via mentoring, meetings, hands-on learning, and documentation
</li><li>Become familiar with research administration in an R1 university setting in order to streamline its supporting business processes
</li></ul>Experience Required:
<ul><li>Bachelor&rsquo;s degree in Engineering, Computer Science, Math/Statistics, Business Administration, or equivalent experience.
</li><li>6 Years of experience in data engineering and database administration to include at least the following minimum professional experience:
<ul><li>6 years hands-on experience as an individual contributor on database implementation, maintenance, and operation in accordance with industry standards, data policies, and security best practices using SQL:
<ul><li>Data and data infrastructure implementation and optimization for application development and maintenance
</li><li>Microsoft SQL Server
</li><li>Indexing strategies
</li><li>DB performance and monitoring tools (such as SolarWinds, Datadog, RDS Performance Insights, and/or Redgate)
</li><li>Query profiling and optimization tools
</li><li>ETL tools (such as SQL Server Integration Services (SSIS), AWS Glue, Informatica, or Alteryx )
</li><li>Modeling tools (such as erwin or DbSchema)
</li><li>Secure data management practices
</li></ul></li><li>2 years&rsquo; experience configuring and managing databases in the AWS cloud environment including: RDS, EC2,
</li></ul></li><li>Demonstrated ability to communicate clearly and effectively in both oral and written mediums with individuals and groups in order to socialize information and knowledge with a diverse group of colleagues
</li><li>Demonstrated ease in technical and non-technical review as both reviewer and reviewee in order to facilitate collaborative group activities such as change control and pull request review
</li></ul>Experience Desired:
Experience with ...
<ul><li>AWS Services such as Glue, DMS, Quicksight, Redshift, data pipeline
</li><li>Performing security audits and reviews of databases and data systems
</li><li>REST API development and management platforms, such as MuleSoft or Boomi (Mulesoft preferred)
</li><li>Open-source database technologies: PostgreSQL, MySQL, MongoDB, Oracle, etc.
</li><li>Information Security standards and frameworks
</li><li>Working in a Scrum-Agile environment
</li><li>Workday suite of applications/modules
</li><li>Workday data model, security, integrations, and data load capabilities
</li></ul>Working Conditions:
This position:
<ul><li>Contributes in a collaborative teamwork environment
</li><li>Collaborates across diverse backgrounds, personalities, and disciplines in a shared space working environment through scheduled and ad hoc meetings focused on problem solving
</li><li>May be required to work in a hybrid environment, using remote and on-site workplaces
</li><li>While normally has a Monday-Friday day shift, will occasionally have responsibilities or emergent situations where work outside of standard business hours is required to ensure software deployments go smoothly, to respond to incidents, and/or to meet critical deadlines
</li><li>May be required to be on call
</li><li>Is an essential position and is required to report to work when needed when UW suspends operations
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$117,600.00 annual
Pay Range Maximum:
$124,800.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a temporary position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Data Engineer/DBA (Temporary)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. 
We are team of passionate Applied Scientists, Research Scientists, and Economists collaborating to uncover, formulate, and solve big bet issues for broader Stores organization, including marketplace efficiency, seller incentive design, and inventory optimization. We are seeking to add another member to our team who thrives in inter-disciplinary, ambiguous, and high visibility environments. 
 
Key job responsibilities 
The successful candidate will lead large-scale science initiatives from research to production and translate complex business problems into mathematical frameworks. They will design and implement large-scale optimization algorithms for complex supply chain and marketplace problems, and design incentive-compatible mechanisms for marketplace challenges including auction design, matching algorithms, and pricing strategies. 
 
The ideal candidate will have a strong publication record in top-tier conferences/journals (INFORMS, EC, WINE, ICML, NeurIPS, etc.) and experience coordinating cross-functional projects. They should have hands-on experience building science solutions that apply optimization techniques to mechanism design problems (e.g., optimal auction design, welfare maximization under constraints), with expertise in statistical learning and algorithm development. 
 
Leadership responsibilities include driving technical strategy and roadmap for complex initiatives, influencing senior stakeholders and shaping technical direction, mentoring 2-4 junior scientists and fostering team growth, and collaborating effectively across functions to deliver measurable business impact.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit 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. 
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. 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist, Amazon Stores Economics & Science (SEAS)

Delta Dental

<div>Are you looking for an exciting summer opportunity to gain valuable skills and make a meaningful impact across Washington state's communities? Support TriForza as a Business Process Analyst Intern and gain hands-on experience analyzing system and workflow data to understand performance, identify gaps, measure the impact of automation efforts, and support the development of standardized processes to track and measure automation performance. You&rsquo;ll contribute to real projects such as researching and defining key performance metrics, organizing data from multiple systems, building dashboards that support automation and process optimization efforts while building key professional skills in a dynamic, collaborative environment.

Skills you will gain during the internship:
<ul>
<li>Present data in ways that clearly communicate trends, performance, and gaps over time.</li>
<li>Use data to evaluate outcomes, identify areas for improvement, and assess the impact of changes.</li>
<li>Gain hands-on exposure to analytics, reporting, and automation tools supporting workflow and process optimization.</li>
<li>Building meaningful connections with colleagues, mentors, and other professionals.</li>
<li>Engaging in workshops, training sessions, and other learning initiatives to support career development.</li>
<li>Applying academic knowledge to address real-world workplace challenges and deliver results.</li>
</ul>
Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza, are committed to improving oral and overall health across Washington state and beyond. Guided by our vision, we succeed through our deep commitment to our shared OneTeam Values: accountability, courage, curiosity, inclusion, and integrity. Our Values are at the center of the work we do and how we interact with one another.

This non-exempt internship pays an hourly rate of $28.00 and is full-time (40 hours per week). Interns are expected to work during our standard business hours, which are from 8 AM to 5 PM, Monday through Friday. Interns are typically required to work onsite at our Seattle office every Tuesday, with the option for remote work on other days based on departmental needs.

We offer interns highly competitive medical, dental, and vision plans, along with a generous 401(k) plan, wellness dollars, and transportation reimbursement for commuting to the office. Interns also receive paid holidays, paid time off, and sick time throughout their internship.

Essential Responsibilities include the following: The list of responsibilities listed is not intended to be comprehensive. Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza reserve the right to change the responsibilities at any time with or without notice.
<ul>
<li>Analyze business processes and system data to evaluate performance and identify automation opportunities and impact</li>
<li>Research and support the design of standardized processes to measure and track the value of automation initiatives, including KPIs, ROI, and ongoing performance monitoring</li>
<li>Use data from SQL and internal systems to assess automation performance, including volume, efficiency, and outcomes</li>
<li>Define and refine key performance metrics to support consistent measurement over time</li>
<li>Design and build Tableau dashboards that visualize workflow performance and automation impact</li>
<li>Translate data into actionable insights on throughput, efficiency, and cost savings</li>
<li>Ensure data accuracy and consistency by validating datasets and documenting data sources and reporting workflows</li>
<li>Create and maintain standardized process documentation that supports the adoption, consistency, and ongoing improvement of workflows.</li>
</ul>
The experience, skills, and education needed to succeed in the position are outlined below. These requirements are representative of the knowledge, skills, and abilities required to successfully perform the essential functions of the role.
<ul>
<li>Currently pursuing an associate&rsquo;s, bachelor&rsquo;s, or master&rsquo;s degree in Business Analytics, Data Analytics, Informatics, Information Systems, Computer Science, Industrial Engineering, Supply Chain Management, Economics, Statistics, Mathematics, or a related field.</li>
<li>Experience using tools such as Power BI, Tableau, SQL, and Excel to support data analysis and visualization</li>
<li>Exposure to mapping and visualizing workflows using tools such as Lucidchart, Miro, Figma, or similar platforms through coursework or academic projects</li>
<li>Experience working with data from multiple sources to support analysis and dashboard development</li>
<li>Experience conducting exploratory data analysis to identify trends, patterns, or insights through coursework or academic projects</li>
<li>Experience using Python or R for data analysis is a plus</li>
<li>Displays a high level of accountability by effectively managing tasks independently, meeting goals, and delivering high-quality work while staying dedicated to team objectives.</li>
<li>Ability to collect relevant information, assess data, and make thoughtful contributions to projects or problem-solving activities.</li>
<li>Enthusiastic about collaborating with diverse teams, contributing to an inclusive environment, and seeking opportunities for growth and improvement within the internship and organization.</li>
<li>Strong interpersonal skills, with the ability to build relationships across teams.</li>
<li>Capable of working both independently and collaboratively in team settings.</li>
</ul>
Accessibility and Accommodations for Interns: We are committed to creating an inclusive and accessible environment for all interns. If you require any accommodations during the interview process or throughout your internship, please let our Recruiting team know.

Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

We are committed to the highest standards of information security and HIPAA compliance, ensuring the confidentiality, integrity, and protection of all data. All staff are expected to support this commitment by following relevant policies.</div>

Business Process Analyst Intern

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.
Expedia Group powers travel for everyone, everywhere. As AI becomes core to how travelers plan, book, and manage their trips, our ability to rapidly explore, prototype, and ship new AI capabilities becomes essential. You will help build the next generation of AI-powered experiences and the underlying patterns that ensure every experience meets a high standard of clarity, accuracy, and trust.
Expedia Product &amp; Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.
The core platform analytics and AI team builds AI and ML platform capabilities which help internal employee productivity use cases as well as support agentic experiences for our travelers and partners.
In this role, you will:<ul><li>
Define and drive the long-term product vision, strategy, and roadmap for Expedia Group&rsquo;s AI and ML platforms, ensuring they enable reusable, scalable capabilities across multiple product domains and lines of business.</li><li>
Translate complex AI/ML platform opportunities into clear, prioritized problem statements and outcomes, aligning senior stakeholders across engineering, data science, product, and business teams.</li><li>
Partner with architecture, engineering, and data science leaders to guide system design, APIs, and data models for AI/ML platforms that are secure, compliant, observable, and easily consumable by product teams.</li><li>
Establish and own success metrics for AI/ML platform adoption and performance, using data and experimentation to refine capabilities and drive continuous improvement across services and domains.</li><li>
Champion safe, responsible, and high-impact use of AI, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, ensuring they are integrated and operated in ways that improve customer and business outcomes.</li><li>
Serve as a cross-domain thought leader, identifying and evangelizing platform patterns and capabilities that unlock fungible AI/ML solutions usable by multiple teams, products, and experiences across Expedia Group.</li></ul>
Minimum Qualifications:<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, or a related technical field, or equivalent practical experience involving large-scale platforms or data-intensive systems.</li><li>
Extensive product management experience leading platform, data, or AI/ML products, including end-to-end ownership of multi-service or multi-domain capabilities in complex technical environments.</li><li>
Proven ability to work closely with engineering and data science teams on system design, API contracts, data modeling, and technical trade-offs for AI/ML or data platforms.</li><li>
Demonstrated track record of defining strategy, roadmaps, and measurable outcomes for technical platforms, and driving broad stakeholder alignment at the organizational level.</li><li>
Familiarity with AI-driven systems, tools, or workflows, and with safely integrating and operating AI/ML‑enabled solutions that improve outcomes for both internal and external customers.</li></ul>
Preferred Qualifications:<ul><li>
Advanced degree in a technical field (e.g., Computer Science, Machine Learning, Statistics, Operations Research) with experience applying these disciplines to large-scale product or platform initiatives.</li><li>
Deep experience building or product-managing AI/ML platforms, feature stores, model lifecycle tools, or inference/serving infrastructure that support high-volume, global consumer applications.</li><li>
Proven leadership driving architecture and product direction for complex technical platforms, including defining reusable APIs, shared data models, and governance frameworks that support multiple domains and organizations.</li><li>
Strong track record of operational excellence for AI/ML-enabled systems, including reliability, performance, observability, and safety, and the ability to use data, experimentation, and causal analysis to inform platform decisions.</li><li>
Demonstrated experience taking products from concept to scaled adoption, including AI/ML capabilities, with an additional focus on safely integrating and operating AI/ML‑enabled solutions that improve outcomes and setting AI strategy and guardrails appropriate to a distinguished-level product leadership role.</li></ul>
The total cash range for this position in Chicago is $278,500.00 to $390,000.00. Employees in this role have the potential to increase their pay up to $445,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Seattle is $296,000.00 to $414,500.00. Employees in this role have the potential to increase their pay up to $473,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $296,000.00 to $414,500.00. Employees in this role have the potential to increase their pay up to $473,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Jose is $323,000.00 to $452,500.00. Employees in this role have the potential to increase their pay up to $517,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Francisco is $323,000.00 to $452,500.00. Employees in this role have the potential to increase their pay up to $517,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Distinguished PM - AI and ML Platforms

Explore 326+ Data journalist economics research group in Seattle this April. Find roles across top companies and apply now to boost your career.

326 data journalist economics research group jobs In Seattle

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Senior Applied Scientist, Amazon Stores Economics & Science (SEAS)

Business Process Analyst Intern

Distinguished PM - AI and ML Platforms