data engineer, e-commerce

data scientist

data scientist - data & data science (seattle, wa) Jobs in Seattle

data scientist i, shake

data scientist, analytics (technical leadership) Jobs in Seattle

data scientist i shake

Amazon

<div>
 
 Description
 
 
 
 Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!
 
 
 Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.
 
 
 The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
 </li>
 <li>
 You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns.
 </li>
 <li>
 You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.
 </li>
 <li>
 You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
 </li>
 <li>
 You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ 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>
 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources 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>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
 </li>
 <li>
 Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
 </li>
 <li>
 Knowledge of machine learning concepts and their application to reasoning and problem-solving
 </li>
 <li>
 Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
 </li>
 <li>
 Experience applying quantitative analysis to solve business problems and making data-driven business decisions
 </li>
 <li>
 Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
 </li>
 <li>
 Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
 
 
 </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 - 108,300.00 - 160,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3206663
</div>

Data Scientist I, SHAKE

Starbucks

<div>
 
 Now Brewing &ndash; Data Scientist! #tobeapartner
 
 
 
 
 
 From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
 
 
 As a Data Scientist on the Data and Analytics (D&amp;A) team, you will be responsible for developing, enhancing, and maintaining analytical models and optimization algorithms. Your work will translate complex analyses into actionable business insights, empowering leaders to make data-driven decisions.
 
 
 You will collaborate closely with cross-functional teams&mdash;including Finance, Store Development, Retail Testing, Supply Chain, Marketing, Product, and Customer teams&mdash;to support strategic initiatives and influence key business decisions.
 
 
 
 
 As a data scientist, you will&hellip;
 
 
 
 
 <ul>
 <li>
 Conduct Exploratory Data Analysis - Analyze large-scale datasets through data wrangling, feature engineering, and statistical exploration. Build reusable data pipelines using tools such as Pandas, Databricks SQL, and Spark to uncover trends, prepare raw data for modeling, and generate actionable insights.
 </li>
 <li>
 Develop and Maintain Analytical Models - Design, enhance, and sustain statistical/analytical models tailored to specific domains such as store testing and experimentation, store development, supply chain, and marketing.
 </li>
 <li>
 Build Predictive and Descriptive Models - Leverage historical data, domain attributes, and external signals to develop models that address diverse business challenges and improve decision-making.
 </li>
 <li>
 Collaborate Cross-Functionally - Partner with teams across data engineering, operations, product, supply chain, and more to translate business needs into scalable data science solutions.
 </li>
 <li>
 Influence Strategic Planning - Provide data-driven recommendations to senior leaders, contributing to long-term strategies and business roadmaps.
 </li>
 <li>
 Demonstrate Curiosity and a Growth Mindset - Tackle complex problems with intellectual curiosity, continuously explore new features and methodologies, and stay up-to-date with industry trends and best practices.
 </li>
 <li>
 Thrive in a Collaborative, Impact-Driven Team - Join a high-performing, supportive team that values innovation, continuous learning, and delivering meaningful business outcomes.
 
 
 </li>
 </ul>
 
 We&rsquo;d love to Hear From People With
 
 
 
 <ul>
 <li>
 Bachelors+ with concentration in quantitative discipline &ndash; Stats, Math, Comp Sci, Engineering, or similar discipline. Masters preferred. Minimum of 1 year of experience
 </li>
 <li>
 Proficiency in coding languages for data preparation and modeling, including SQL for querying large datasets and Python for building pipelines and statistical models
 </li>
 <li>
 Solid understanding of statistical concepts, and techniques, such as regression, classification, decision trees, clustering, and causal inference, with practical experience applying them to real-world problems
 </li>
 <li>
 Experience with data visualization tools and techniques (e.g., Tableau, Power BI) to communicate insights effectively to technical and non-technical audiences
 </li>
 <li>
 Demonstrated curiosity and analytical rigor, with a strong ability to explore complex datasets, identify patterns, and generate actionable insights
 </li>
 <li>
 Excellent attention to detail, along with strong written and verbal communication skills to collaborate across cross-functional teams and present findings to stakeholders
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Familiarity with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
 
 
 </li>
 </ul>
 As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
 
 
 <ul>
 <li>
 If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
 
 
 </li>
 </ul>
 The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity.  At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
 
 
 We believe we do our best work when we're together, which is why we're onsite four days a week.
 
 
 
 Join us and inspire with every cup. Apply today!
 
 
 
 
 Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
 
 
 
 
 Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
 
 
 
 
 
 
 
 
 Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at
 
 
 applicantaccommodation
 
 
 or 1(888) 611-2258.
 
</div>

data scientist - Data & Data Science (Seattle, WA)

Data Scientist, Analytics (Technical Leadership)

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
 </li>
 <li>
 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
 </li>
 <li>
 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
 </li>
 <li>
 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
 </li>
 <li>
 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
 </li>
 <li>
 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D. Degree in a quantitative field
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $147,000/year to $208,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Data Scientist, Product Analytics

Opendoor

<div>
 
 Data Scientist, Pricing
 
 
 
 
 
 Location: Hyrbrid 4 onsite, 1 remote
 
 Seattle WA.
 
 
 
 Opendoor is transforming one of the largest, most complex markets in the world &mdash; residential real estate &mdash; using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company&rsquo;s financial performance.
 
 
 We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You&rsquo;ll operate at the intersection of economics, machine learning, experimentation, and product strategy &mdash; tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory &mdash; and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Build and maintain pricing metrics, dashboards, and frameworks.
 </li>
 <li>
 Run experiments and causal analyses to measure impact and drive decisions.
 </li>
 <li>
 Develop predictive + statistical models that improve pricing accuracy.
 </li>
 <li>
 Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
 </li>
 <li>
 Deliver insights and narratives that inform executive strategy.
 
 
 
 </li>
 </ul>
 
 Skills &amp; Qualifications
 
 
 
 
 <ul>
 <li>
 Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
 </li>
 <li>
 Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
 </li>
 <li>
 Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
 </li>
 <li>
 Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
 </li>
 <li>
 Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
 </li>
 <li>
 High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
 </li>
 <li>
 Effective communicator &mdash; able to tell the story behind the model to both highly technical and non-technical audiences.
 </li>
 <li>
 8+ years of experience in data science, product analytics, or a similar quantitative role.
 
 
 
 </li>
 </ul>
 
 Base salary range for this role varies. Generally, the base salary range is $186,000 &ndash; $256,000 annually + RSUs + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
 
 
 
 #
 
 
 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We&rsquo;ve built an end-to-end online experience that has already helped thousands of people and we&rsquo;re just getting started.
 
 
</div>

Data Scientist

University Of Washington

<div>Job Description
Who we&rsquo;re looking for:
The UW Medicine - Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a Clinical Laboratory Technician (CLT) 2 with the Microbiology Team at the University of Washington Medical Center &ndash; Montlake.
CLT 2s in the Microbiology Laboratory are experienced specimen processors that provide excellent patient care by performing inventory, ordering, receiving, and quality control on supplies.
Work schedule:
<ul><li>FTE 100%
</li><li>Monday to Friday with rotating weekends and holidays
</li><li>Day shift on Monday to Friday. Weekends and holiday may vary
</li></ul>What you&rsquo;ll contribute:
<ul><li>Uses hc1 to track and resolve problems regarding specimen quality, including labeling, stability and tube type. Refers technical questions to AD Medical Laboratory Scientist or Setup Medical Laboratory Scientist Lead.
</li><li>Monitors training of new employees and students and assesses status at the completion of the training.
</li><li>Performs or guides other qualified employees in doing direct observations for annual competency assessments.
</li><li>Performs blood culture volume monitoring quarterly and prepares the data to be sent to responsible areas.
</li><li>Inventories reagents in setup.
</li><li>Sets up quality control on media or for reagents when the CLT Lead is not available.
</li><li>Trained in inventory and purchasing when the CLT Lead is not available.
</li><li>Ensures the procedures and documents in Media lab are up to date. Makes minor edits to procedures. Reviews any major procedure changes. Keeps the printed backup for all manual up to date.
</li><li>Helps create the annual competency quizzes and any new procedure quizzes.
</li><li>Be a resource for CLT 1s.
</li></ul>Also performs CLT 1 duties:
<ul><li>Possesses working knowledge of the laboratory information system including accessioning test requests, tracking specimens and looking up results.
</li><li>Batches and un-batches specimens from other divisions and transports them appropriately.
</li><li>Operates the WASP to process approved specimens, performs daily and monthly maintenance and troubleshoot errors.
</li><li>Processes bacterial and fungal cultures for all specimen types
</li><li>Prepares and stains direct smears including, but not limited to, Gram stains, KOH preps, Trichromes, and malaria preps.
</li><li>Answers phone calls and directs questions to appropriate personnel.
</li><li>Interacts with health care providers and responds to questions concerning specimens in a professional manner.
</li><li>Trouble shoots specimen issues and enters cases in hc1.
</li><li>Follows procedures and knows where to find information in Media Lab.
</li><li>Collects and cleans glassware, collects and disposes of biological waste, and unpacks supplies and reagents.
</li><li>Possess working knowledge of the operation, maintenance and troubleshooting of laboratory equipment, such as the biological safety cabinet, centrifuges, cytocentrifuges, stomachers, fume hoods, incubators, dry baths, refrigerators and freezers.
</li><li>Sets up bacterial susceptibility testing including disk diffusion, gradient strips and microtiter panels.
</li><li>Communicates with co-workers so that specimen processing flows smoothly through breaks and between shifts.
</li><li>Demonstrates a helpful, courteous and respectful manner with co-workers.
</li>Keeps work area clean, organized and stocked. 
<li>
</li></ul>What you&rsquo;ll need:
<ul><li>High school graduation or equivalent AND two years of chemical, clinical, or public health laboratory experience.
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</li></ul>What we offer:
<ul><li>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</li><li>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</li><li>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</li><li>Excellent healthcare, dental, disability, retirement, and other plan options.
</li><li>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</li><li>And much more!
</li></ul>About the Department of Laboratory Medicine &amp; Pathology:
A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the Department of Laboratory Medicine &amp; Pathology at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.
Please visit our website to learn more about our department.
About UW Medicine:
UW Medicine is Washington&rsquo;s only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine&rsquo;s mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow&rsquo;s physicians, scientists and other health professionals.
 
 
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that include Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, Valley Medical Center, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.
Become part of our team . Join our mission to make life healthier for everyone in our community.
Compensation, Benefits and Position Details
Pay Range Minimum:
$27.98 hourly
Pay Range Maximum:
$40.05 hourly
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
SEIU Local 925 Healthcare Prof/Lab Tech
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>

Clinical Laboratory Technician 2, UWMC Microbiology Lab

Serko Ltd

<div>Serko is a cutting-edge tech platform in global business travel &amp; expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world&rsquo;s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change.
With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place, we&rsquo;re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. 
 
This role can be based in West Coast USA - we would be open to candidates in other locations as well with proven experience and expertise. 
Requirements 
We are building a foundational AI division at Serko and looking for a Senior Data Scientist to help us move from concept to MVP at velocity. 
This is a hands-on role for someone who prefers building over maintaining. You&rsquo;ll be implementing models within AI-agentic environments, specifically focusing on Recommender Systems, Ranking algorithms, and Reinforcement Learning. 
 
What you'll do<ul><li>
Architect and lead the deployment of sophisticated data science solutions that define the technical direction for Serko&rsquo;s AI-agentic ecosystem.</li><li>
Design the foundational frameworks for model integration within multi-agent environments, overseeing the implementation of high-scale Recommender Systems, Ranking algorithms, and advanced Deep Learning architectures (e.g., Heterogeneous Graph Transformers).</li><li>
Set the standard for technical excellence and velocity, establishing the protocols for scoping and prioritizing complex, cross-functional projects.</li><li>
De-risk the most ambiguous and high-stakes technical challenges, proactively adapting emerging AI technologies to ensure Serko remains a market leader.</li><li>
Partner with Leadership to co-create AI-first product strategies, ensuring the long-term roadmap is anchored in technical feasibility and measurable commercial outcomes.</li><li>
Anticipate market shifts and technological risks, identifying long-term opportunities that leverage proprietary data to create a competitive &quot;moat.&quot;</li><li>
Command executive-level influence by translating complex technical trajectories into strategic business cases for the C-suite and key global partners.</li><li>
Sponsor and elevate the technical community, raising the collective &quot;technical ceiling&quot; of the organization through high-level mentorship and the establishment of best practices.</li></ul>
What you'll bring<ul><li>
At least 8-10+ years of proven experience building and scaling production-grade ML systems that have moved the needle on global business metrics.</li><li>
Deep technical mastery in machine learning and applied statistics, with a track record of implementing &quot;bleeding-edge&quot; techniques in a commercial environment.</li><li>
Authority in experimentation and systems design, with the ability to build for extreme scalability, maintainability, and reliability across global regions.</li><li>
Executive-level communication skills, with a demonstrated ability to influence organizational strategy and navigate complex stakeholder landscapes.</li><li>
Strategic product intuition, understanding how to balance long-term architectural health with the immediate needs of a fast-paced product development cycle.</li><li>
Proven technical leadership, with experience guiding senior engineers/scientists through complex pivots and high-pressure launches.</li><li>
Advanced software engineering fluency (Python and modern data stacks), with a focus on building modular, reusable, and production-hardened AI components.</li><li>
Visionary and resilient mindset, comfortable owning the &quot;blank page&quot; and driving clarity in environments of extreme ambiguity.</li></ul> 

Benefits 
At Serko, we aim to create a place where people can come and do their best work. This means you&rsquo;ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact.
Some of the benefits of working at Serko are:<ul><li>
A competitive base pay</li><li>
Medical Benefits</li><li>
Discretionary incentive plan based on individual and company performance</li><li>
Focus on development: Access to a learning &amp; development platform and opportunity for you to own your career pathways</li><li>
Flexible work policy</li><li>
The pay range is between $184,000 - $270,000 USD as a base salary offering annually.</li></ul></div>

Principal Data Scientist

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