aiml - machine learning engineer - computer vision & audio, mind

data analyst

ai program analyst - remote Jobs in Seattle

ai program analyst - remote

aiml - machine learning engineer - computer vision & audio, mind Jobs in Seattle

consulting manager - ai & analytics Jobs in Seattle

consulting manager - ai & analytics

data engineer

machine learning scientist

Expedia Group

<div><p>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.</p><p></p><p><b>
Why Join Us?</b></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b>
Senior Machine Learning Scientist</b></p><p></p><p><b>
Introduction to the Team:
</b></p><p>Expedia Technology teams partner with our Product teams to create 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 that drive loyalty and traveler satisfaction.
</p><p></p><p>The Traveler Engagement &amp; Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.
</p><p></p><p>Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia&rsquo;s AI-first vision.
</p><p></p><p><b>In this role, you will:
</b></p><ul><li><p>Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies
</p></li><li><p>Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data
</p></li><li><p>Design and analyze A/B experiments to validate model performance and drive product decisions
</p></li><li><p>Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments
</p></li><li><p>Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes
</p></li><li><p>Stay current with advancements in recommendation research, deep learning architectures, and personalization systems
</p></li><li><p>Mentor junior scientists and engineers, sharing best practices in ML modeling, experimentation, and deployment<br>
</p></li></ul><p><br>
<b>Minimum Qualifications:</b>
</p><ul><li><p>PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
</p></li><li><p>8+ years of related industry experience
</p></li><li><p>Experience building production-grade recommendation or personalization systems
</p></li><li><p>Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference
</p></li><li><p>Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
</p></li><li><p>Experience with distributed systems like Apache Spark
</p></li><li><p>Familiarity with A/B testing and experimentation methodologies
</p></li><li><p>Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy
</p></li></ul><p></p><p><b>Preferred Qualifications:</b>
</p><ul><li><p>Experience in the travel or e-commerce industry
</p></li><li><p>Familiarity with cloud platforms (AWS, GCP, Azure)
</p></li><li><p>Publications in top-tier ML conferences or journals
</p></li><li><p>Contributions to open-source ML projects
</p></li><li><p>Experience in personalization systems or CRM-focused ML applications
</p></li><li><p>Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams</p></li></ul><p></p>
The total cash range for this position in San Jose is $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.<p></p>
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.<p></p><p>
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.</p><p></p><p>
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.</p><p></p><p><b>
Accommodation requests</b></p><p>
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.</p><p></p><p>
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.</p><p></p><p>
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</p><p></p><p>
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.</p><p></p>
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>

Machine Learning Scientist

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 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!
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <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)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 <br/>
 <br/>
 USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon.com Services LLC
 <br/>
 <br/>
 Job ID: A3206663
</div>


Data Scientist I, SHAKE

Fred Hutchinson Cancer Center

<div>Overview:
<div>
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.</div><div></div><div><br>
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world&rsquo;s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world&rsquo;s deadliest diseases and make life beyond cancer a reality.</div><div></div><div><br>
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.</div><div></div><div><br>
This position is for a <b>Staff Scientist</b> to engage in biomedical studies that apply Artificial Intelligence (AI) approaches and methods with the long-term objective of improving clinical cancer care. The training, project development, and application will be mentored by Dr. Peter Nelson and Dr. Jeff Leek, and members of their research groups. The projects will integrate high dimensional clinical data with outcomes to specific therapeutics to generate patient similars or digital twins. The studies will also develop methodology to produce synthetic control cohorts for comparative assessments against novel therapeutics evaluated in clinical trials. The project will interface with clinical and laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab.</div><div></div><div><br>
The Fred Hutch Data Science Lab is involved in large, education focused initiatives and biomedical research funded by NIH grants. These projects involve delivering training materials to researchers to help catalyze their work in a scalable manner, as well as innovating new methods for understanding or treating disease.</div><div></div><div><b><br>
The key areas of emphasis include:</b></div><ul><li>
Primary research using AI and other statistical methods to better personalize treatment of cancer patients from large-scale data.</li><li>
Analysis of large‑scale clinical, genomic, and molecular datasets.</li><li>
Development and evaluation of predictive models and statistical approaches to understand treatment outcomes.</li><li>
Integration of diverse data types to identify features associated with therapeutic response, resistance, or toxicity.</li><li>
Collaboration with multidisciplinary teams to interpret findings and support translational applications.</li></ul>
Responsibilities:
<ul><li>The research projects and responsibilities for this Staff Scientist position include:</li><li>
Conducting research independently as well as contributing to research being done by other team members.</li><li>
Assisting in project development, design, and management with administrative staff.</li><li>
Developing new statistical models leveraging public and investigator collected high throughput data.</li><li>
Writing new R packages or Shiny Apps for implementation of developed methodology.</li><li>
Applying AI and ML tools (including Python, R, and possibly other languages) to test and evaluate biomedical hypotheses.</li><li>
Develop, refine, and benchmark computational pipelines using statistical modeling, machine learning, and deep learning approaches.</li><li>
Conduct analytical validation studies including precision, reproducibility, and specificity.</li><li>
Support translational studies in collaboration with clinicians and academic/industry partners.</li><li>
Other duties as assigned.</li></ul><div><b>
SCOPE OF RESPONSIBILITY:</b></div><div>
Level of autonomy:</div><ul><li>
This position will report to Dr. Peter Nelson and will collaborate with Dr. Jeff Leek and other members of the project teams as necessary. This candidate will have substantial autonomy to develop and apply tools and methods that incorporate AI and large data sets to understand and predict disease trajectories. The staff scientist will need to conduct most study tasks independently with minimal to modest oversight aside from project steering efforts.</li></ul>
Qualifications:
<div><b>
MINIMUM QUALIFICATIONS:</b></div><ul><li>
A PhD and/or MD degree in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine learning, or another related statistical or computational discipline.</li><li>
Creative, thoughtful, and a communicative collaborator</li><li>
Familiarity with Python, R, R packages, and RMarkdown.</li><li>
Experience with version control using GitHub.</li><li>
A willingness to learn new informatics content.</li><li>
A careful writer and diligent editor.</li><li>
Experience with statistics and machine learning</li></ul><div><b>
PREFERRED QUALIFICATIONS:</b></div><ul><li>
Experience with Quarto, Python, and/or other programming languages.</li><li>
Experience and interest in data science or informatics education.</li><li>
Experience working with clinical data.</li><li>
Experience with deep learning applications for biomedical research.</li><li>
This position may be eligible for relocation assistance.</li></ul><p></p><div>
The annual base salary range for this position is from $84,406 to $191,755, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.<br>
<br>
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.<br>
<br>
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (up to 13 days per year), and paid parental leave (up to 4 weeks).</div>
Additional Information: We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.</div>

Staff Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's advertising business has grown exponentially over the past years, helping connect sellers and vendors to shoppers who may be interested in their products. Our ad products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products that leverage state of the art AI technologies.<br>
<br>
The Sponsored Products and Brands team is seeking a Principal Applied Scientist to lead the development and implementation of generative AI solutions for ad allocation and ranking on Amazon search pages. This role will be instrumental in revolutionizing how we match ads with customer intent and shopping behavior.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and develop novel generative AI architectures for real-time ad allocation, focusing on both efficiency and effectiveness at massive scale</li><li>Lead research initiatives in applying large language models and multimodal AI to understand deep semantic relationships between ads, queries, and user behavior</li><li>Create innovative approaches to leverage GenAI for dynamic ad placement optimization while maintaining strict latency requirements</li><li>Collaborate with cross-functional teams to integrate GenAI solutions into existing advertising systems</li><li>Author research papers and technical documentation, contributing to the broader scientific community</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Applied Mathematics, Statistics or a closely related field of study.</li><li>8+ years of experience applying ML to solve complex problems for large-scale applications.</li></ul><br>
<h2 class="jobSectionHeader"><b>PREFERRED QUALIFICATIONS</b></h2><ul><li>Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.</li><li>Demonstrated leadership abilities, especially with cross-disciplinary efforts.</li></ul>
- Hands on experience building machine learning models - from theoretical and application to real-world-problems perspectives.<br>
<ul><li>Deep knowledge of statistical modeling techniques, scientific thinking, and the ability to apply these skills to real-world applications.</li><li>Deep business and technical vision.</li><li>Prior experience in online advertising or search ranking</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 218,800.00 - 295,900.00 USD annually<br>
USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually</div><p></p>

Principal Applied Scientist, Sponsored Products and Brands

<div>Overview:
<div>
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.</div><div></div><div><br>
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world&rsquo;s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world&rsquo;s deadliest diseases and make life beyond cancer a reality.</div><div></div><div><br>
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.</div><div></div><div><br>
This position is for a <b>Postdoctoral Fellow</b> to engage in biomedical studies that apply Artificial Intelligence (AI) approaches and methods with the long-term objective of improving clinical cancer care. The training, project development, and application will be mentored by Dr. Peter Nelson and Dr. Jeff Leek, and members of their research groups. The projects will integrate high dimensional clinical data with outcomes to specific therapeutics to generate &lsquo;patient similars&rsquo; or &lsquo;digital twins&rsquo;. The studies will also develop methodology to produce synthetic control cohorts for comparative assessments against novel therapeutics evaluated in clinical trials. The project will interface with clinical and laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab.</div><div></div><div><br>
The Fred Hutch Data Science Lab is involved in large, education focused initiatives and biomedical research funded by NIH grants. These projects involve delivering training materials to researchers to help catalyze their work in a scalable manner, as well as innovating new methods for understanding or treating disease.</div><div></div><div><br>
Our key projects include:</div><ul><li>
Primary research using Artificial Intelligence (AI) and bioinformatics and biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information.</li><li>
Analysis of large‑scale clinical, genomic, and molecular datasets.</li><li>
Development and evaluation of predictive models and statistical approaches to understand treatment outcomes.</li><li>
Integration of diverse data types to identify features associated with therapeutic response, resistance, or toxicity.</li><li>
Collaboration with multidisciplinary teams to interpret findings and support translational applications.</li></ul>
Responsibilities:
<div>
Specifically, the postdoc will have the following duties:</div><ul><li>
Developing new statistical models leveraging public and investigator collected biomedical data relating to the diagnosis and treatment of patients with cancer.</li><li>
Writing new R packages or Shiny Apps for implementation of developed methodology.</li><li>
Applying AI and machine learning (ML) tools (including Python, R, and possibly other languages) to test and evaluate biomedical hypotheses.</li><li>
Developing benchmarks and working together with staff to evaluate algorithms on those benchmarks.</li><li>
Contributing to writing papers and review of the current literature.</li><li>
Other duties as assigned.</li></ul>
Qualifications:
<div><b>
MINIMUM QUALIFICATIONS:</b></div><ul><li>
A PhD in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine learning, or another related statistical or computational discipline</li><li>
Creative, thoughtful, and a communicative collaborator</li><li>
Familiarity with Pyhton, R, R packages, and RMarkdown</li><li>
Experience with version control using GitHub</li><li>
A willingness to learn new informatics content</li><li>
A careful writer and diligent editor</li><li>
Experience with statistics and machine learning</li></ul><div><b>
PREFERRED QUALIFICATIONS:</b></div><ul><li>
Experience using computational methods to analyze large-scale high-dimensional biomedical data relating to clinical information, genetics, genomics, radiomics, and/or population-based outcomes.</li><li>
Strong track record of peer-reviewed publications, high-impact manuscripts, patents, or translational tools relevant to position.</li><li>
Experience collaborating with clinicians, industry partners, or translational research teams.</li><li>
Experience with Quarto, Python, and/or other programming languages.</li><li>
Experience and interest in data science or informatics education.</li><li>
Experience with deep learning applications for biomedical research or other aspects of scientific inquiry or data analysis.</li></ul><p></p><div>
The annual base salary range for this position is from $80,172 to $95,014, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.<br>
<br>
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.<br>
<br>
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).</div>
Additional Information: We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.</div>

Post-Doctoral Research Fellow

Apple

<div>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning &amp; Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling &amp; experimentation, and ad hoc analyses.
 <br/>
 <br/>
 We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning &amp; optimization with quantitative rigor&mdash;all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods.
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   As a Data Operations Capacity Planning &amp; Analytics Data Scientist, you will:
  </li>
  <li>
   Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development.
  </li>
  <li>
   Evaluate which tasks and data types benefit most from automation and work with customers to optimize against.
  </li>
  <li>
   Translate behavioral insights and empirical trends into optimized project structures, ensuring our annotation workflows are designed for both efficiency and quality before projects launch.
  </li>
  <li>
   Partner with cross-functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure.
  </li>
  <li>
   Contribute to capacity forecasting and optimization by converting quantitative decision-making into forecast drivers and scenarios.
  </li>
  <li>
   Identify key factors that lead to improving productivity and quality.
  </li>
  <li>
   Contribute to development of a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains
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  </li>
 </ul>
 <strong>
  Minimum Qualifications
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 </strong>
 <ul>
  <li>
   Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
  </li>
  <li>
   4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
  </li>
  <li>
   Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization
  </li>
  <li>
   Mastery in SQL-based languages, and proficiency in at least one large-scale data languages
  </li>
  <li>
   Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R
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  </li>
 </ul>
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  Preferred Qualifications
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 </strong>
 <ul>
  <li>
   Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
  </li>
  <li>
   Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations
  </li>
  <li>
   Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization
  </li>
  <li>
   Passion for AIML and Operations, with a consistent track record of operational results.
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  </li>
 </ul>
 <strong>
  Pay &amp; Benefits
  <br/>
  <br/>
 </strong>
 At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.
 <br/>
 <br/>
 Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses &mdash; including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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 <br/>
 Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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 <br/>
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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 Apple accepts applications to this posting on an ongoing basis.
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</div>


Data Scientist, AIML Data Scientist

Starbucks

<p></p><div><p><b>Now Brewing &ndash; Lead Data Scientist! #tobeapartner</b></p><p>
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.</p><p>
As a <b>Lead Data Scientist</b> on the Global Supply Chain Data Science team, you will lead the development of advanced forecasting models and optimization algorithms that shape supply chain and inventory decisions. Your work will directly impact coffeehouses, transportation, distribution centers, and suppliers at scale.</p><p></p><p><i><br>
As a </i><i>lead data scientist</i><i>, you will&hellip;</i></p><ul><li> Own the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to production deployment, ensuring robust offline evaluation and real-time performance monitoring.</li><li> Work closely with product and internal users. You will understand business initiatives, challenges, questions, and transform user requirements into technical solutions.</li><li> Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.</li></ul><p></p><p><b><br>
Mentor and Develop Talent</b></p><ul><li> Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.</li><li> Foster a culture of innovation and continuous improvement within the data science organization.</li></ul><br>
<p>
</p><p><i>We&rsquo;d love to hear from people with:</i></p><p></p><ul><li><br>
 <b>Education</b>: Bachelors Degree with a concentration in a quantitative discipline. Masters preferred</li><li> <b>5+ years of progressive experience in data science</b>, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li> <b>5+ years of experience in machine learning and statistical techniques,</b> including regression, classification, clustering, and causal inference.</li><li> <b>Advanced proficiency in Python, SQL, and cloud-based analytics platforms </b>(e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.</li><li> <b>Excellent communication and data storytelling skills,</b> with the ability to translate complex methodologies into clear, actionable insights. Translate business challenges into research questions, and present findings to technical and non-technical audiences</li><li> <b>Experience building in-house </b><b>production systems</b> in complex and data-rich domains.</li><li> <b>Mentoring experience</b></li></ul><p></p><p><b><i><br>
Preferred Skills:</i></b></p><ul><li> Experience in <b>building forecasting models</b> for time series or operational planning</li><li> Experience in <b>optimization techniques</b> such as linear programming, mixed-integer programming, or heuristic algorithms for decision support</li><li> Background with <b>PySpark and Databricks</b> for distributed data processing and scalable analytics in cloud environments</li><li> <b>Advanced degree (MSc or PhD)</b> in Statistics, Operations Research, Applied Mathematics, or related quantitative field.</li></ul><p></p><p><br>
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.</p><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><p></p><p><br>
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.</p><p></p><p><br>
We believe we do our best work when we're together, which is why we're onsite four days a week.</p><p><b>
Join us and inspire with every cup. Apply today!</b></p><p><i>
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.</i></p><p><i>
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.</i><br>
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<i>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 </i><i>applicantaccommodation@starbucks.com</i><i> or 1(888) 611-2258.</i></p></div>

lead data scientist - Data & Analytics (Seattle, WA)

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