Internal Number : 25623 OverviewFred 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. 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'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's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. 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. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation's first cancer prevention research program and serves as the international headquarters of the HIV Vaccine Trials Network. The HIV Vaccine Trials Network (HVTN) and Coronavirus Prevention Network (CoVPN) Laboratory in the Immunology & Vaccine Development Program of the Vaccine & Infectious Disease Division is dedicated to understanding human immunology and mechanisms of vaccine-induced immune protection against HIV and other infectious diseases. The Cohn Lab, part of the Vaccine and Infectious Disease Division at Fred Hutchinson Cancer Center in Seattle, WA is recruiting a Data Scientist I to support the work of the lab through the computational analysis of HIV, human immunology, and virology. The Cohn Lab works towards the eradication of HIV through human immunology, virology, and state-of-the-art technologies to study clinical samples from HIV-cure studies. We focus our research on understanding the molecular, immunological and virologic forces that drive vaccine efficacy and persistence of HIV-infected cells.Responsibilities Build and maintain computational pipelines to analyze sequencing data from HIV-cure studies to quickly and efficiently take raw data to interpretable results Computationally integrate multi-omic data from multiple experimental approaches Stay up-to-date with bioinformatics methods and analyses published to keep the lab's computational protocols consistent with the leading algorithms in the field Research and apply existing software solutions to answer questions on a variety of different projects Preform rigorous statistical analysis of generated results Communicate complex computational techniques and results to a broad audience of scientists with various backgrounds Understand and communicate technical advantages and disadvantages of a variety of different types of datasets and analyses Create visualizations and presentations of results that effectively communicate key messages Qualifications BA / BS required in biology, statistics, computer science or a related field. Masters degree preferred. At least five years of experience with biology, computer science, and / or computational biology (may be concurrent with undergraduate or graduate education) Experience with a variety of computer science concepts, algorithms, and problem solving skills Experience coding in R and Python required, experience with Java, C++, Julia and other languages is a plus Knowledge of genomics techniques and how to apply them in a variety of settings A background in statistical analysis A successful candidate will show curiosity and an initiative to learn new techniques, as well as exceptional organizational and communication skills Interested applicants should submit a cover letter and CV. Fred Hutchinson Cancer Center has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations. As a condition of employment, newly hired employees must, prior to their first day of employment : Provide proof of being fully vaccinated against COVID-19 ; ORInitiate the accommodations process to request a religious or medical accommodation (medical accommodations require a healthcare provider's certification). A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists. The annual base salary range for this position is from $90, to $135, and pay offered will be based on experience and qualifications. 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 (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months). Our Commitment to DiversityWe are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. 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 are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and 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 our Employee Services Center at or by calling 206-667-4700.

Job Description Welcome to Holland America Line, a premium cruise line dedicated to explorers, foodies and music lovers who want to explore the world on perfectly sized, refreshingly spacious ships filled with one-of-a-kind experiences. Were looking for an amazing Data Scientist to fill this role, which is based in our Seattle office. Youll be responsible for focusing on using your data science skills to conceive and develop new opportunities to optimize revenue and enhance understanding and decision making within our business. You will work closely with business end users to help interpret models, assess unique business cases, and incorporate feedback between the business and the RMS. You will work closely with our fuel and deployment teams to optimize operational decision making with data science, as well as also be involved in other key projects that help us better understand our guest behaviors and preferences, allowing us to maximize revenue and guest experience by providing the right cruise experience to the right guest for the right price. Heres a summary of what Holland America Line is looking for in our Data Scientist role. Is this you? Responsibilities Identify and lead projects within Holland America and Seabourn that will help us minimize our deployment-based Carbon emissions, as part of our drive to minimize such emissions. Develop analytical capabilities to identify opportunities to optimize our ship deployment mix detailed modelling and understanding of ship engine performance and fuel consumption, to derive modelling that will lead us to optimizing our ship deployments. Use these models to recommend / visualize optimal deployment strategies within Holland America and Seabourn Design and build proof of concept models for new concepts and improvements for implementation into the RMS and into our Pre / Post Booking Strategy, and lead the brand testing of this functionality, using a combination of business and analytical expertise Apply and adapt knowledge and experience of theoretical, mathematical concepts to develop advanced modelling and analytics to maximize net revenue and profitability and develop ROI metrics to quantify value of enhanced capability Use your experience of analytics visualization to create tools and analyses that accurately reflect the underlying mathematics whilst being visually engaging and easy-to-use for the business teams. Lead the implementation of these where needed across the business Work closely with senior stakeholders to ensure the relevancy and usability of all models and tools delivered is maintained; Use strategic and tactical thinking to determine how to best manage, configure and / or influence the RMS and Fuel modelling to best reflect current business activity and future strategy, as well as understand impacts of changing legislation in the fuel and deployment space Additional duties as assigned by Senior Director Requirements Degree in Operations Research, Engineering, Applied Mathematics, Applied Statistics Strong analytical capabilities with a high level of attention to detail Creative and innovative problem-solver Demonstrable understanding of ship operations and modelling of fuel consumption Minimum 3 years experience working in analytics within travel in a data / data science role Previous experience with Revenue Management / Price optimization Knowledge of operational considerations in travel Experience in identifying business problems and scoping / implementing analytic solutions into the business. Relevant work experience in revenue management, pricing automation systems, or user support functions for large software Experience leading projects or small teams Cruise Industry analytics experience highly desired Previous experience with MXP deployment systems Building and working with data in Snowflake and integration with other systems Practical Experience in using R in mathematical modelling (1-2 years in identifying problems in the business and proactively designing solutions) At least 1 years experience in building tools using R Shiny SQL (at least 3 years) Snowflake / AWS Can confidently translate business problems into model insights and enhancements Strategic thinker with a willingness to challenge the status quo Ability to communicate technical information to non-technical audiences Stakeholder management Experience leading projects or small teams (preferred) Must be legally authorized to work in the United States. Holland America is unable to sponsor or take over sponsorship of employment visas at this time (e.g., H-1B status). What You Can Expect Cruise and Travel Privileges for You and Your Family Health Benefits 401(k) Employee Stock Purchase Plan Training & Professional Development Tuition & Professional Certification Reimbursement Rewards & Incentives Base Salary Range : $105,900.00 to $143,000.00. The range is applicable for the labor market where the role is intended to be hired. Final base salary is directly related to each candidates' qualifications and experience uniquely. Our CultureStronger Together Our highest responsibility and top priority is compliance, environmental protection and the health, safety and well-being of our guests, the people in the communities we touch and serve, and our shipboard and shoreside employees. Please visit our site to learn more about our Culture Essentials, Corporate Vision Statement and our Core Values at : Holland America is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Americans with Disabilities Act (ADA) Holland America will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies from the world’s largest enterprises to the most ambitious startups use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team We’re working on making the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. It is too difficult and expensive today for fast growing companies to produce financials and analyze their businesses. We are laser focused on building an end-to-end solution for users to understand their performance and grow their revenue. What you’ll do Responsibilities Define and measure key outcome metrics for products that cater to our users needs. Design and analyze experiments to improve the conversion funnel for product adoption and targeting efficacy. Apply statistical methods, causal inference, and machine learning to inform product decisions and optimize our products and systems. Design and develop data sets that enable better understanding of adoption and engagement. Partner closely with product, engineering, finance, and marketing teams to identify and prioritize the most important data science projects. Who you are We’re looking for an experienced data scientist to partner with teams to support the growth of our products and develop new ones. If you are excited about building new products on Stripe’s platform, live and breathe data-driven product development, and are energized by designing strategic metrics and causal analyses, then we want to hear from you. Minimum requirements 6+ years of data science / quantitative modeling experience. A PhD or MS in a quantitative field (e.g., Statistics, Quantitative Finance, Economics, Sciences, Engineering) or equivalent experience. Expert knowledge of a scientific computing language (such as R or Python) and SQL. Expertise in statistics and experimental design. Prior experience with product and / or go to market data science or enthusiasm to learn. A demonstrated ability to manage and deliver on multiple projects with a high attention to detail. The ability to communicate results clearly and a focus on driving impact. Pay and benefits The annual US base salary range for this role is $185,600 - $251,077. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions / sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include : equity, company bonus or sales commissions / bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Lynker Technologies Job Description Title : Fisheries Data Scientist (R, GitHub, Open Source) - California Current Integrated Ecosystem Assessment Background and Description : Lynker is recruiting a Fisheries Data Scientist to support NOAA Fisheries (NMFS) Northwest Fisheries Science (NWFSC) Center in Seattle, WA. Hiring for this position is contingent upon contract award. The NWFSC provides science in support of managing living marine resources in the West Coast of Washington and Oregon, including interior watersheds that support anadromous fish such as salmon and steelhead. NWFSC scientists are major contributors to the California Current Integrated Ecosystem Assessment (CCIEA), an interdisciplinary research effort led by NMFS. The CCIEA program's goal is to provide science support for ecosystem-based management of the California Current, a productive coastal ecosystem in the northeastern Pacific Ocean. The ecosystem supports important fisheries and other human activities and provides services and cultural value for the tens of millions of people living along the U. S. West Coast. CCIEA team research on the California Current ecosystem supports a number of federal mandates, including sustainable fisheries management as outlined under the Magnuson-Stevens Fishery Conservation and Management Act (MSA), and conservation and recovery of protected species under the Marine Mammal Protection Act (MMPA) and the Endangered Species Act (ESA). Among the CCIEA's major products is an ecosystem status report (ESR) that is updated and presented each year. The primary audience is the Pacific Fishery Management Council, and many other management bodies, researchers and members of the public follow the reports as well. The purpose of the ESRs is to provide regular updates and interpretation of data that describe the status and trends of physical, ecological, economic and social conditions in the California Current ecosystem, with particular focus on key fished species (salmon, coastal pelagic species, groundfish, and highly migratory species), protected species (marine mammals and seabirds), and human dimensions in fisheries and coastal communities. A rapidly changing, multi-use ocean highlights the need for managers to have accessible, reliable, up-to-date information that is tailored to their ecosystem-based management goals and objectives. Such information can support decisions such as opening or closing fisheries, adjustments to harvest policies, or responses to offshore planning requests. However, we currently provide most ecosystem information once per year in the static ESRs, which have been labor-intensive to produce. Lynker's Fisheries Data Scientist will modernize the generation, documentation, and reproducibility of California Current ESRs through the use of modern, open science tools and approaches (such as R scripts / packages for automation, RMarkdown / Quarto for report creation and automation and GitHub for workflow management). The position may also support more rapid provision of ecosystem information in web-based summaries. These improvements should make ESR production more efficient and also enable us to generate accessible products that are tailored and timed to the Pacific Fishery Management Council's needs and schedules, and are also more useful to other researchers who make use of ESR data and content. The Fisheries Data Scientist will lead activities and development of products that will improve ESR reproducibility, documentation, workflow, reproducibility, and visibility, in collaboration with CCIEA scientists. These activities and deliverables should result in better service to the public through high-quality, timely reporting of ecosystem conditions on the West Coast. Focal activities will include : 1) creating R packages that automate the pulling, processing, plotting, and archiving of ecosystem indicator data from online sources; 2) creating an open-source ESR template, including code to import indicator data plots and tables; 3) creating a GitHub workflow and repositories for ESR production; and 4) creating user guides and documentation for all ESR-related activities. Depending on the rate of progress with these four, the Fisheries Data Scientist may participate in development of a public page on the CCIEA website featuring regular, automated indicator data updates and analyses. Featured sets of data may mirror contents of recent ESRs, or be tailored to more specific or evolving needs of customers (e. g., the Pacific Fishery Management Council) and collaborators (e.g., NMFS stock assessment biologists). Duties : Task One : templates and code for creating reproducible reports 1.1 Develop R packages that automate the pulling, processing, plotting, and archiving of West Coast ecosystem indicator data from online sources (e.g., ERDDAP, PacFIN) 1.2 Develop an open-source ecosystem status report template in RMarkdown or Quarto. Template should include code to import indicator data plots and tables, and adhere to agency standards (such as Section 508 Compliance) and predetermined specifications (such as figure and word counts) 1.3 Provide monthly (or as needed) progress updates and demonstrations to ecosystem status report editors and key collaborators to facilitate code and template co-development Task Two : workflow and documentation 2.1 Lead and coordinate development of a transparent ecosystem status report workflow and data and code repositories 2.2 Create user guides and documentation describing the approaches, protocols, and practices of tasks performed in each of the R packages, which will ultimately be uploaded to the NOAA Internet Repository. 2.3 Create onboarding documentation for CCIEA collaborators to the workflow so that others are comfortable using, contributing to, and helping maintain this workflow as needed. Task Three : Outreach, engagement, and other deliverables 3.1 In collaboration with CCIEA scientists, engage with Pacific Fishery Management Council staff and advisory bodies to match content and timing of ESR-related deliverables to needs 3.2 In collaboration with CCIEA scientists, engage with other NMFS teams and IEA regions that use similar approaches, in order to share code and tools, benefit from lessons learned, and minimize unnecessary duplication 3.3 If time allows, lead or support creation of automated ecosystem status report products on the CCIEA website, and / or automated conversion of the ecosystem status report into other formats, such as NOAA Tech Memos or Data Reports. Minimum Required Qualifications The Fisheries Data Scientist must meet or surpass the following requirements. (Applications should address each item listed below.) Advanced degree (Master's or Ph.D.) from an accredited college or university with a major directly related in a field of study as related to the requirements of specific task order with emphasis in marine science, fisheries, quantitative ecology, oceanography, data science, or similar fields; or, equivalent relevant experience Basic computer skills (MS Office, etc.) Excellent written and verbal communication skills Demonstrated proficiency and experience with data management and statistical analysis, with statistical software such as R, SAS, MATLAB, etc. and / or programming languages such as Python Demonstrated proficiency and experience with open source platforms for document generation (R Markdown, Quarto, etc.) Demonstrated proficiency and experience with developing, coordinating and managing workflows and repositories in GitHub Additional Desired Qualifications Previous experience in web development, design and content management, or ability to learn, desired but not required Good communication, coordination and collaboration skills, and a willingness to learn new skills, update existing skills, and share skills with colleagues in the CCIEA team, through R Users Groups, etc. Additional Information The position is expected to be funded for two years, from October 1, 2023 through September 30, 2025. Domestic travel may be required for regional meetings and conferences to discuss and present project related work and objectives. About Lynker Lynker is a growing, employee owned, small business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology / water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively. Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled and diverse professionals who embrace sound science and creative solutions. Lynker's benefits include the following : Comprehensive healthcare for the employee at no monthly cost Healthcare benefit covers medical, prescription drug, dental, and vision Personal Time Off (PTO) Policy plus paid holidays Highly competitive compensation plan regularly calibrated against industry and location benchmarks 401(k) retirement plan with company-matching Employee Stock Ownership Plan (ESOP) - we're all company owners! Flexible spending accounts Employee assistance program (EAP) Short- and long-term disability insurance Life and accident insurance Tuition assistance / Training / Workforce improvement reimbursement per year Spot bonuses for exceptional performance Annual Employee Recognition Awards with bonuses Employee Referral Program Free centralized, self-directed Learning Management System to learn at your own pace Personalized career growth plans for every employee Lynker is an E-Verify employer. Lynker is proud to be an Equal Opportunity Employer and encourages women, minorities, individuals with disabilities and veterans to apply. PI223684524

Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source of commerce truth. Fueled by our proprietary neural network, our market insights, revenue metrics, behavior analyses, and autonomous functionality create the actions that determine success or failure. Founded in 2014 in Seattle, we have offices in Minneapolis, New York, Salt Lake City, and London. Since November 2020, Stackline has raised $180 million in strategic investments from Goldman Sachs Growth Equity and TA Associates. Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together. About The Role : Stackline is seeking a skilled and experienced Data Scientist supporting the Sales vertical. This role will tackle the complex challenges of forecasting sales for online products and identifying the relationships that drive customer purchasing decisions. In this role, you will collaborate with leading consumer brands, leveraging data and technology to uncover insights, enhance decision-making, and drive transformative changes in their businesses. As a Data Scientist, you will utilize your expertise to analyze and derive insights from vast data pipelines, processing, ingesting, and cleansing billions of data points each week. You will work closely with Data Engineers, Software Engineers, and Product Management teams to deliver high-qualify data products. This is a hands-on position that involves substantial coding, alongside architecting, developing, and testing new models. If you are eager to explore Stackline's diverse range of datasets and develop models that directly impact our products and customers, we encourage you to apply! What You Will Do : Conduct end-to-end analyses, from gathering data requirements to data processing and modeling. Architect data and modeling pipelines and take ownership of end-to-end machine learning (ML) pipelines. Collaborate with cross-functional teams to identify new opportunities that require modern analytical and modeling techniques. Design algorithms for outlier detection and build sales forecasting prediction models. Utilize existing insights and develop new strategies to drive the product strategy. What We Are Looking For : Masters degree in Computer Science, Statistics, Mathematics, or a related technical field. 2-3+ years of direct industry work as an applied scientist or data scientist. 2-3+ years of demonstratable experience with statistics and probability. Comfortable in a business and technical context, interacting with executives and technical audiences. Solid theoretical understanding of machine learning concepts, such as classification, neural networks, and regression models. Demonstrated problem-solving skills and proficiency in Python coding. Experience and command of SQL. Demonstrated experience with machine learning tools like scikit-learn or TensorFlow, including model development, validation, and deployment. Bonus Points If You Have : Ph.D. in Computer Science, Statistics, Mathematics, or a related technical field. Previous experience with big data technologies like Hadoop or Spark. Experience using scikit-learn to build complex regression, classification, and clustering models. Experience using deep learning libraries for time series analysis. Demonstrated experience in designing and implementing new ideas, working closely with technical teams from concept generation through implementation. Experience working in a startup, retail, digital advertising, or ecommerce environment. Benefits and Perks It's important that each and every employee feels they are supported and can complete their life's best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, location, and performance. The pay range for this position in Seattle is $139,000 - 165,000 per year. Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition we provide a robust benefits and perks package that includes : 100% paid medical, dental, and vision for employees and qualifying dependents Company 401k plan plus matching Company paid Life Insurance 20 days annually of Paid Time Off (with no accrual or tenure needed) 9 Paid company holidays 100% Paid Parental Leave - 20 weeks for birthing mothers and 12 weeks for all other parents Summer Fridays early close at 2 pm Fully stocked kitchen snacks with weekly fresh fruit Stackline is committed to creating a diverse environment and is proud to be an equal opportunity employer. We encourage applicants from all backgrounds to apply. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.