applied scientist ii- recruiting ai agents, recruiting agents & candidate voice

applied scientist iii- recruiting ai agents, recruiting agents & candidate voice

business analyst, wwgs business and customer analytics

applied scientist ii- recruiting ai agents, recruiting agents & candidate voice Jobs in Seattle

applied scientist iii- recruiting ai agents, recruiting agents & candidate voice Jobs in Seattle

aws data engineer

business analyst, wwgs business and customer analytics Jobs in Seattle

digital health strategist Jobs in Seattle

digital health strategist

data scientist

TikTok

Data analysis
<br><br>
TikTok Shop - Data Scientist, Logistics
<br><br>
Location
<br>:
<br><br>
Seattle
<br><br>
Employment Type
<br>:
<br><br>
Regular
<br><br>
Job Code
<br>:
<br><br>
A03581A
<br><br>
Responsibilities
<br><br>
About the Team
<br>The data analytics team will be responsible for data analysis of TikTok e-commerce's US e-commerce logistics operations.
<br><br>
<ul>
<li>Responsible for data analysis of TikTok e-commerce's US logistics operations</li>
<li>Maintain & improve operation performance index; assist top management to monitor the weekly and bi-monthly operation performance; analyze results using statistical techniques and provide ongoing reports</li>
<li>Cooperate with logistics team to set strategy, e.g. Fulfillment network design, warehouse efficiency optimization, capacity management</li>
<li>Follow-up data analysis of operation teams in several overseas markets, support operation and provide optimization suggestions</li>
<li>Cooperate with Products and ETL teams to define system requirements, build data products, improve and roll-out product features to support business</li>
</ul>
Qualifications
<br><br>
<b>Minimum Qualifications:</b><br>
<ul>
<li>Degree holder in Logistics and Supply Chain Management, Operation Research, Mathematics, Statistics, Analytics, or Computer Science</li>
<li>Proficient in SQL and familiar with Python or R</li>
</ul>
Preferred Qualifications
<br><ul>
<li>Experience in US logistics or US E-Commerce site fulfillment process (Amazon FBA/SFP; Ebay/Walmart/Shopify) is a strong plus</li>
<li>Experience in logistics or supply-chain related analysis; Familiar with fulfillment network design, inventory management, US logistics carrier optimization</li>
<li>High energy, self-motivation and ability to work independently in a fast-growing environment</li>
</ul>
Job Information
<br><br>
【For Pay Transparency】Compensation Description (Annually)
<br><br>
The base salary range for this position in the selected city is $170240 - $277970 annually.
<br><br>
​
<br><br>
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
<br><br>
​
<br><br>
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
<br><br>
​
<br><br>
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
<br><br>
​
<br><br>
<b>For Los Angeles County (unincorporated) Candidates:</b><br>
​
<br><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
<br><br>
​
<br><br>
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
<br><br>
​
<br><br>
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
<br><br>
​
<br><br>
3. Exercising sound judgment.
<br><br>
​
<br><br>
About TikTok
<br><br>
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
<br><br>
​
<br><br>
Why Join Us
<br><br>
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
<br><br>
​
<br><br>
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
<br><br>
​
<br><br>
​
<br><br>
Diversity & Inclusion
<br><br>
​
<br><br>
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
<br><br>
​
<br><br>
TikTok Accommodation
<br><br>
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
<br><br>
https://tinyurl.com/RA-request

TikTok Shop - Data Scientist, Logistics

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You&rsquo;ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.<br>
<br>
Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! We're looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and architect AI-powered agentic solutions that help candidates navigate Amazon's hiring process, including scoping requirements, identifying dependencies and constraints, and creating robust scientific and technical designs that balance candidate experience with system scalability.</li></ul><br>
<ul><li>Implement and deploy conversational AI agents leveraging state-of-the-art LLM and GenAI technologies to enable candidates to explore job opportunities, understand role requirements, and receive personalized guidance throughout their hiring journey.</li></ul><br>
<ul><li>Develop rigorous evaluation frameworks to measure agent effectiveness, candidate satisfaction, and hiring outcomes&mdash;continuously iterating on models to improve accuracy, fairness, and user experience across millions of candidate interactions.</li></ul><br>
<ul><li>Collaborate cross-functionally with Research Scientists, Software Engineers, and Product teams to integrate agentic solutions into Amazon's candidate-facing platforms, ensuring seamless deployment and alignment with broader Talent Acquisition goals.</li></ul><br>
<ul><li>Drive innovation in agentic AI research by staying current with advances in NLP, LLMs, and autonomous agent architectures, while contributing to the scientific community through publications, internal tech talks, and knowledge sharing.</li></ul><br>
About the team<br>
<br>
Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. You'll be at the intersection of people, data, and technology&mdash;solving fascinating problems that directly impact how we hire the best talent globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of building machine learning models for business application experience</li><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><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Applied Scientist III- Recruiting AI Agents, Recruiting Agents & Candidate Voice

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You&rsquo;ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.<br>
<br>
Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! We're looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and architect AI-powered agentic solutions that help candidates navigate Amazon's hiring process, including scoping requirements, identifying dependencies and constraints, and creating robust scientific and technical designs that balance candidate experience with system scalability.</li></ul><br>
<ul><li>Implement and deploy conversational AI agents leveraging state-of-the-art LLM and GenAI technologies to enable candidates to explore job opportunities, understand role requirements, and receive personalized guidance throughout their hiring journey.</li></ul><br>
<ul><li>Develop rigorous evaluation frameworks to measure agent effectiveness, candidate satisfaction, and hiring outcomes&mdash;continuously iterating on models to improve accuracy, fairness, and user experience across millions of candidate interactions.</li></ul><br>
<ul><li>Collaborate cross-functionally with Research Scientists, Software Engineers, and Product teams to integrate agentic solutions into Amazon's candidate-facing platforms, ensuring seamless deployment and alignment with broader Talent Acquisition goals.</li></ul><br>
<ul><li>Drive innovation in agentic AI research by staying current with advances in NLP, LLMs, and autonomous agent architectures, while contributing to the scientific community through publications, internal tech talks, and knowledge sharing.</li></ul><br>
About the team<br>
<br>
Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. You'll be at the intersection of people, data, and technology&mdash;solving fascinating problems that directly impact how we hire the best talent globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience applying theoretical models in an applied environment</li><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice

Outreach

<div>
 <strong>
  About Outreach
  <br/>
  <br/>
 </strong>
 Outreach, founded in 2014, is the only complete
 <strong>
  agentic AI
 </strong>
 platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Today, data is everywhere, but only those who truly know how to use it effectively will succeed. Outreach believes there are large swaths of value still locked in sales operations data and we are putting an effort behind building out the best team to help Outreach and our customers succeed through the use of data. As our customer base grows, the desire for more insights, better coaching, and improvements in efficiencies outpace the supply. The Analytics team is focused on Analytics, Coaching Insights and Workflow optimization. This is a critical role that has a unique chance to build outcome-driven reports and analytics to guide our customers, improve their productivity and have a bigger impact on their revenue growth.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 This is a growing team within Outreach. This role would set the bar for engineering and operational excellence, team culture, business impact and hiring standards. Our customer base is yearning for more insights and this team will have a large impact on revenue, operational costs, and coaching efficiencies. This team will span multiple functions including machine learning, frontend, backend engineering and data engineering. The Analytics team will work closely with Data Science to leverage models for optimization, as well as develop their own models, the Data Platform team to shape data efficiently, the Product Management and User Interface Designers to surface data in an effective way.
 <br/>
 <br/>
 <strong>
  Our Vision Of You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of professional software development experience
  </li>
  <li>
   You have experience with shipping at least 1 major feature into production
  </li>
  <li>
   You are passionate about using analytics to drive the understanding, growth, and success of a product
  </li>
  <li>
   You are hands on, able to quickly pick up new tools and languages, excited about building things and experimenting, always looking to sharpen and adapt your skills. You have a bias for using the right tools to get a job done with maximum efficiency.
  </li>
  <li>
   You have experience making tradeoffs between speed and accuracy
  </li>
  <li>
   Proficiency in a modern language such as golang, Java, Python, C#, etc
  </li>
  <li>
   You have proficiency in at least one of the SQL languages (MSSQL, MYSQL, Postgres, etc)
  </li>
  <li>
   You go above and beyond to help your team
  </li>
  <li>
   You are honest, admit mistakes, and own fixing them
  </li>
  <li>
   Comfortable working directly with data analytics to bridge business requirements with data engineering
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience with AI coding assistants, AI-based testing tools, and automation frameworks used in modern software engineering.
  </li>
  <li>
   Strong knowledge of development workflows including planning, coding, testing, CI/CD, and deployment.
  </li>
  <li>
   Experience with modern cloud environments and AI infrastructure (AWS, Azure, or GCP).
  </li>
  <li>
   Understanding of how to connect AI systems with enterprise data sources (documentation systems, code repositories, ticketing systems).
  </li>
  <li>
   Ability to identify opportunities where AI can accelerate development processes.
  </li>
  <li>
   Knowledge of responsible AI usage, data privacy, and model governance in enterprise environments.
  </li>
  <li>
   Experience in large scale distributed data systems
  </li>
  <li>
   Experience collaborating with data scientists
  </li>
  <li>
   Experience working in a start-up or building a product in a new category
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why You&rsquo;ll Love It Here
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible time off
  </li>
  <li>
   401k to help you save for the future
  </li>
  <li>
   Generous medical, dental, and vision coverage for full-time employees and their dependents
  </li>
  <li>
   A parental leave program that includes options for a paid night nurse, and a gradual return to work
  </li>
  <li>
   Infertility/ assisted reproductive services benefit
  </li>
  <li>
   Employee referral bonuses to encourage the addition of great new people to the team
  </li>
  <li>
   Snacks and beverages in the Office, along with fun events to celebrate
  </li>
  <li>
   Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
   <br/>
   <br/>
  </strong>
 </em>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 <br/>
 <br/>
 The annual base salary range for this role is $130,000-$150,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.
</div>


Software Engineer, Analytics Platform

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>
The Warren Lab in Translational Science and Therapeutics is seeking a motivated full-time summer <b>Lab Aide</b> to support ongoing exciting research in T-cell immunology in cancer. Under the supervision of a staff scientist, the student will assist with routine lab tasks and gain original research experience in support of their academic goals.</div><div></div><div><br>
At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.</div>
Responsibilities:
<div>
Primary responsibility will be supporting tissue culture and flow cytometry experiments related to ongoing research projects testing chimeric antigen receptors and T-cell receptors targeting tumor antigens in kidney cancer, and using scRNAseq data to identify cell surface markers associated with T-cell clonal expansion in the tumor microenvironment and their wet lab validation.</div><div><br>
Other responsibilities will include:</div><ul><li>
Inventorying and re-stocking lab supplies.</li><li>
Maintaining the tissue culture room including processing biohazard waste, changing aspirator apparatuses, and cleaning incubators as needed.</li><li>
Assist in the auditing and discarding of unneeded samples in the liquid nitrogen tank and maintaining their inventory in OpenSpecimen.</li><li>
Harvesting PBMCs from whole blood and thawing and counting archival PBMCs for use in scRNAseq.</li><li>
Assist in analyzing data and making figures.</li><li>
Perform other duties as assigned.</li></ul>
Qualifications:
<div><b>
MINIMUM QUALIFICATIONS:</b></div><ul><li>
High School diploma or equivalent with an interest in the sciences.</li></ul><div><b>
PREFERRED QUALIFICATIONS:</b></div><ul><li>
Current enrollment in college at the rising Junior level or higher, with prior coursework in biology and chemistry.</li><li>
Excellent academic track record.</li><li>
Detail-oriented, organized, capable of maintaining thorough records, and able to work efficiently under supervision and as experience grows, independently.</li><li>
Previous laboratory research experience beyond course work.</li><li>
Coursework in data analysis programming language/s (R and Python).</li></ul><p></p><div>
The hourly pay range for this position is from $21.30 to $30.13 and pay offered will be based on experience and qualifications.</div><div></div><div><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.</div><div><br>
Fred Hutchinson Cancer Center offers employees access to a retirement savings plan, an employee assistance program, paid sick leave (1 hour for every 30 hours worked), and prorated paid holidays (up to 11 days per year).</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>

Lab Aide - Temporary

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Industrial Robotics is seeking exceptional applied science talent to develop AI and machine learning systems that will enable the next generation of advanced manufacturing capabilities at unprecedented scale. We're building revolutionary software infrastructure that combines cutting-edge AI, large-scale optimization, and advanced manufacturing processes to create adaptive production control systems.<br>
<br>
As a Senior Applied Scientist, you will develop and improve machine learning systems that enable real-time manufacturing flow decisions. You will leverage state-of-the-art optimization and ML techniques, evaluate them against representative manufacturing scenarios, and adapt them to meet the robustness, reliability, and performance needs of production environments. You will invent new algorithms where gaps exist. You'll collaborate closely with software engineering, manufacturing engineering, robotics simulation, and operations teams, and your outputs will directly power the systems that determine what to build next, where to allocate resources, and how to maximize throughput.<br>
<br>
The ideal candidate brings deep expertise in optimization and machine learning, with a proven track record of delivering scientifically complex solutions into production. You are hands-on, writing significant portions of critical-path scientific code while driving your team's scientific agenda. If you're passionate about inventing the intelligent manufacturing systems of tomorrow rather than optimizing those of today, this role offers the chance to make a lasting impact on the future of automation.<br>
<br>
Key job responsibilities<br>
<ul><li>Identify and devise new scientific approaches for constraint identification, dispatch optimization, WIP release control, and predictive flow intelligence when the problem is ill-defined and new methodologies need to be invented</li><li>Lead the design, implementation, and successful delivery of scientifically complex solutions for real-time manufacturing flow optimization in production</li><li>Design and build ML models and optimization algorithms including constraint prediction, starvation risk forecasting, and dispatch optimization</li><li>Write a significant portion of critical-path scientific code with solutions that are inventive, maintainable, scalable, and extensible</li><li>Execute rapid, rigorous experimentation with reproducible results, closing the gap between simulation and real manufacturing environments</li><li>Build evaluation benchmarks that measure model performance against manufacturing outcomes including constraint utilization and throughput rather than traditional ML metrics alone</li><li>Influence your team's science and business strategy through insightful contributions to roadmaps, goals, and priorities</li><li>Partner with manufacturing engineering, robotics simulation, and applied intelligence teams to ensure scientific approaches are grounded in operational reality</li><li>Drive your team's scientific agenda and role model publishing of research results at peer-reviewed venues when appropriate and not precluded by business considerations</li><li>Actively participate in hiring and mentor other scientists, improving their skills and ability to deliver</li><li>Write clear narratives and documentation describing scientific solutions and design choices</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>5+ years of building machine learning models or developing algorithms for business application experience</li><li>Experience delivering products to volume production</li><li>PhD in computer science, operations research, machine learning, industrial engineering, or a related quantitative field, or Master's degree plus 4+ years building ML models and algorithms in applied settings</li><li>Deep expertise in one or more of: combinatorial optimization, reinforcement learning, constraint programming, or stochastic modeling</li><li>Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines</li><li>Demonstrated technical contributions through publications, patents, or impactful production systems</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>8+ years of experience in applied science or research with progressive scope and impact</li><li>Experience with manufacturing systems, production scheduling, supply chain optimization, or industrial process control</li><li>Experience with Theory of Constraints or flow-based production optimization</li><li>Experience with real-time decision systems that operate under uncertainty</li><li>Experience with sim-to-real transfer or physics-informed machine learning</li><li>Experience with AWS services including SageMaker, and familiarity with MLOps practices</li><li>Experience with AI-native development practices and AI coding assistants</li><li>Knowledge of manufacturing execution systems (MES), SCADA, ERP, or related industrial software</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, Industrial Robotics Group

City of Seattle

<div><div><div><h2 class="jobSectionHeader"><b>Position Description</b></h2></div>
<p></p><div><p>The Human Services Department (HSD) works to ensure Seattle communities thrive by meeting basic needs through innovative, collaborative approaches. Our mission is to connect people with resources and solutions so everyone can live, learn, work, and participate in strong, healthy communities. We center racial equity and social justice in all we do.</p><p>
HSD&rsquo;s Data Performance and Evaluation (DPE) Team seeks a Temporary Data Analyst to support a variety of data projects and tasks, with a primary focus on the Youth and Family Empowerment (YFE) Division&rsquo;s portfolio of programs and initiatives.</p><p>
We&rsquo;re looking for someone who can apply race and social justice principles to support the departments:</p><ul><li>Data: Develop and maintain data systems, dashboards, and automated workflows to improve accuracy, efficiency, and usability.</li><li>Performance: Support staff in using data systems effectively through training, communication, and collaboration.</li><li>Evaluation: Analyze and interpret data to generate insights, respond to ad hoc requests, and ensure transparency through documented methods.</li></ul><p>
This position will report to the Data and Performance Manager and will work closely with Senior Data Analysts, DPE&rsquo;s Lead Researcher, and staff and staff from across the YFE Division.</p><p>
This is an exciting opportunity for someone with versatile data analysis skills and who is passionate about advancing the work of the HSD&rsquo;s Youth and Family Empowerment Division!</p></div><p></p>
<div><h2 class="jobSectionHeader"><b>Job Responsibilities</b></h2></div>
<p></p><div><p><b>The work of the Data Analyst is varied and requires:</b></p><p><b>
Data Quality, Validation, and Assurance</b></p><ul><li>
Validate data across multiple sources and systems to ensure accuracy and usability.</li><li>
Perform detailed and accurate data entry as needed and identify opportunities to streamline labor-intensive processes.</li><li>
Build strong working relationships with staff across teams to ensure accurate and consistent data reporting.</li></ul><p><b>
Data Visualization, Reporting, and Automation</b></p><ul><li>
Maintain multiple dashboards&mdash;with the ability to build new dashboards when required&mdash;and use no-code or low-code tools such as Power Automate to streamline routine processes, integrate data sources, and improve accuracy and efficiency.</li><li>
Regularly review all dashboards for accuracy and troubleshoot issues promptly.</li><li>
Provide accurate, well-documented reporting using reliable tools and dashboards tailored to diverse audiences and communicate insights clearly.</li><li>
Data Management and System Support</li><li>
Develop a clear understanding of interconnected data systems to identify improvement opportunities and coordinate implementation with senior staff.</li><li>
Maintain user guides and train staff on data systems, reporting tools, and dashboards.</li><li>
Troubleshoot system issues, recommend solutions, and enhance data processes and documentation for efficiency, clarity, and reproducibility.</li></ul><p><b>
Applied Analysis and Interpretation</b></p><ul><li>
Analyze large and complex datasets to support actionable insights.</li><li>
Identify process improvements and offer practical solutions that strengthen data quality and analytical reproducibility.</li><li>
Respond promptly and accurately to ad hoc data requests using documented methodologies to ensure transparency and easy review by senior staff.</li></ul><p><b>
Project Scoping, Planning, and Governance</b></p><ul><li>
Assist with developing project plans, tracking dependencies and risks.</li><li>
Support projects with multiple deliverables and deadlines under direction of senior level staff.</li><li>
Create and maintain SOPs, data dictionaries, and documenting of standard to ensure consistent data practices.</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Qualifications</b></h2></div>
<p></p><div><p><b>Minimum Qualifications:</b></p><p>
Requires two years in systems, operational, procedures, research or analysis and a Bachelor's degree in business or public administration, finance, computer science or a related field (or a combination of education, training and/or experience that provides an equivalent background required to performs the work of the class).</p><p><b>
OR:</b> An equivalent combination of education and experience that demonstrates the ability to perform the position duties</p><b>
Desired Qualifications:</b><p><b><br>
You will be most successful in this role if you have:</b></p><p><b>
Experience in:</b></p><ul><li>
Using a range of data tools and technology (Power Automate, Power BI/Tableau, and Excel).</li><li>
Applying Results-Based Accountability (RBA) frameworks.</li><li>
Experience with data systems, workflows, and reporting within human services settings.</li><li>
Working with large datasets and ensuring data quality.</li><li>
Connecting and maintaining data in business intelligence tools (e.g., Tableau, Power BI) in a production environment.</li><li>
Creating clear documentation and supporting user training on data systems.</li><li>
Troubleshooting simple python or R scripts.</li></ul><p><b>
The ability to:</b></p><ul><li>
Deliver accurate, high-quality work with strong attention to detail.</li><li>
Exercise critical thinking and creative problem-solving.</li><li>
Center equity and ethical practice in all stages of work.</li><li>
Communicate clearly with varied audiences and provide excellent customer service.</li><li>
Build collaborative relationships and work effectively across teams.</li><li>
Be flexible and willing to take on varied work.</li><li>
Take ownership for keeping work moving forward, even when shifting between multiple projects.</li><li>
Work with a sense of urgency to meet deadlines and respond promptly to changing priorities.</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Additional Information</b></h2></div>
<p></p><div><p><b>The full hourly range for this position is $47.39 - $55.19</b></p><div><b>
This position is expected to end in January 2027.</b></div><p><b>
Your application will not be reviewed if these items are missing or incomplete.</b></p><p><b>
Hiring Process</b><br>
Applications are reviewed after the posting closes. Qualified candidates must submit the following to be considered:</p><ul><li>
Completed NEOGOV online application.</li><li>
Current r&eacute;sum&eacute; indicating relevant experience and education.</li><li>
Cover letter describing how your skills and experience align with the stated job responsibilities and qualifications.</li><li>
Supplemental questionnaire responses (if applicable)</li></ul><p><b><br>
Offers of employment are contingent on verification of information provided by the applicant as part of the application process, which may include a detailed background check, pre-placement physical exam, and/or full driver's abstract, dependent upon position.</b></p><p>
The City of Seattle offers a comprehensive benefits package including vacation, holiday, and sick leave as well as medical, dental, vision, life, and long-term disability insurance for employees and their dependents. More information about employee benefits is available on the City's website at: https://www.seattle.gov/human-resources/benefits</p><p>
First time applying at the City of Seattle? View our tips and tricks for making your application stand out. (Download PDF reader)</p><p>
Please note this job advertisement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.</p><p>
Who may apply: This role is open to all candidates that meet the minimum qualifications. We value different viewpoints and life experiences. Your application will be considered regardless of race, color, creed, national origin, ancestry, sex, marital status, disability, religious or political affiliation, age, sexual orientation, or gender identity. The City of Seattle encourages people of all backgrounds to apply, including people of color, immigrants, refugees, women, LGBTQ+, people with disabilities, veterans, and those with diverse life experiences.</p></div></div></div><p></p>
<br><div></div><div><div><div><p>The City of Seattle offers a comprehensive benefits package including vacation, holiday and sick leave as well as medical, dental, vision, life and long-term disability insurance for employees and their dependents.</p></div></div></div>

Temporary Data Analyst

Explore 70+ Data scientist in Seattle this July. Find roles across top companies and apply now to boost your career.