data scientist

Data Scientist, Product Analytics

Seattle Children's

<div><p>This position requires working with a dynamic and interdisciplinary group of scientists across multiple organizations as part of a large NIH-funded contract. Your primary responsibility is to support FAIR data management and sharing within the consortium, and with the public domain. The consortium is heavily focused on host-pathogen interaction, and the majority of the data generated relates to immunology-based assays. This position requires an ability to develop data management tools for specialized data entry for immunology, clinical and, -omics based assays.</p><p></p><p>
The position requires skills in data science, and computer science, particularly as they apply to the management of complex biological and clinical research data. The ideal candidate is a strong proponent of Open Science and has a good understanding of experimental design in the life sciences and high-throughput OMICs to ensure that the data and relevant metadata is appropriately captured to maximize data reuse.</p><p></p><p>
The role requires clear and consistent communication and co-ordination with consortium scientists to (1) identify data for inclusion in the consortium's repository, and (2) assist with data preparation and upload.</p><p></p><p>
Knowledge, Skills, and Abilities:</p><ul><li>
Basic knowledge of standard principles, theories and concepts related to immunology research.</li><li>
Proficient oral and written communication skills; able to work collaboratively in a team environment.</li><li>
Understanding of FAIR data sharing principles and experience implementing strategies to improve data sharing in alignment with FAIR principles
</li><li>Experience tracking and sharing experimental metadata
</li><li>Proficient planning skills, able to manage multiple projects with competing priorities/deadlines, and to work in parallel with different teams to move multiple projects forward simultaneously.
</li><li>Able to establish and maintain professional working relationships with scientists.
</li><li>Able to occasionally work outside standard business hours in order to liaise with international consortium members.
</li><li>Able to work on projects and other assignments with limited direct supervision.
</li><li>Effective problem-solving skills, attention to detail and ability to learn new analytic skills.
</li></ul><p></p><p>Essential Job Functions:</p><p>
1. Manage consortium's data repository: - Work with stakeholders to design, implement, modify and maintain a data repository used for internal data sharing within the program. - in collaboration with scientists, adapt and develop data entry templates for different experimental platforms and metadata - Work closely with scientists and PIs to identify and release data that needs to be shared publicly in accordance with NIH Data Sharing policy - Liase with larger consortia data repository scientists to facilitate data sharing between consortia.
</p><p>2. Maintain an up-to date data repository: - actively solicit new data entries and regularly update the repository - work closely with scientists to identify the appropriate metadata required for individual experiments - co-ordinate directly with consortium scientists to support ongoing data entries, including providing basic training, performing quality control, and investigating problematic data entries.
</p><p>3. Participate in project management efforts: - Develop work plans, identify resource requirements, and develop work schedules. - Provide detailed quarterly reports of data sharing projects, ensuring information is presented in appropriate language for clear communication to team members. - Communicate projects' schedules and track project progress and success. - Recommend and create documentation for best practices for data sharing - Solicit and provide feedback of implementation of data sharing projects to improve processes. - Demonstrate initiative and innovation by proactively identifying opportunities for improved efficiency and project success and make recommendations to investigators and team members. - Adapt data sharing implementation and reporting practices to align with NIH data sharing policy updates.</p><p><br>
</p><p><b>Required Education and Experience</b><br>
Bachelor's Degree in Science, Computer Science, Statistics, or comparable area of research.<br>
At least two (2) years of experience participating in data science and analytics related projects or research.<br>
Relevant programming and data management experience, including experience with data manipulation and visualization techniques (R, SQL).<br>
<br>
<b>Required Credentials</b><br>
N/A.<br>
<br>
<b>Preferred</b></p><ul><li>
Proficiency in the field of Biomedical/Health Informatics, including extensive familiarity with biological data, molecular biological databases, and clinical databases.
</li><li>Experience with Microsoft applications and tools, including in-depth technical and/or applications knowledge in assigned platforms.
</li><li>Relevant programming and data management experience, including experience with R, SQL, and Python.
</li><li>Experience interacting with biological data repositories (SRA, SEEK, GEO, Pride, IMMPORT, etc.,)</li></ul><p></p><p><b>
Compensation Range</b></p>
$107,431.00 - $161,147.00 per year<p></p><p><b>
Salary Information</b></p><p>
This compensation range was calculated based on full-time employment (2080 hours worked per calendar year). Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided.</p><p></p><div><p><b>
Disclaimer for Out of State Applicants</b></p><p>
This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors<b>.</b></p><p></p><div><p><b>
Benefits Information</b></p><p>
Seattle Children&rsquo;s offers a generous benefit package, including medical, dental, and vision plans, 403(b), life insurance, paid time off, tuition reimbursement, and more. Additional details on our benefits can be found on our website www.seattlechildrens.org/careers/benefits.</p><p></p><div><p><b>
About Us</b></p><p><b>
Hope. Care. Cure. These three simple words capture what we do at Seattle Children&rsquo;s &ndash; to help every child live the healthiest and most fulfilling life possible. Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE</b></p><p></p><p>
Our founding promise to the community is as valid today as it was over a century ago: we will care for all children in our region, regardless of the families&rsquo; ability to pay. Together, we deliver superior patient care, advance new discoveries and treatments through pediatric research, and serve as the pediatric and adolescent, academic medical center for Washington, Alaska, Montana and Idaho &ndash; the largest region of any children&rsquo;s hospital in the country.<br>
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U.S. News &amp; World Report consistently ranks Seattle Children&rsquo;s among the nation&rsquo;s best children&rsquo;s hospitals. For more than a decade, Seattle Children&rsquo;s has been nationally recognized in key specialty areas. We are honored to be one of the nation&rsquo;s very best places to care for children and the top-ranked pediatric hospital in Washington and the Pacific Northwest.</p><p></p><p>
As a Magnet designated institution, we recognize the importance of hiring and developing great talent to provide best-in-class care to the patients and families we serve. Our organizational DNA takes form in our core values: Compassion, Excellence, Integrity, Collaboration, Equity and Innovation. Whether it&rsquo;s delivering frontline care to our patients in a kind and caring manner, practicing the highest standards of quality and safety, or being relentlessly curious as we work towards eradicating childhood diseases, these values are the fabric of our culture and community. The future starts here.</p><p></p><p><b>
Our Commitment
</b></p><p>Seattle Children&rsquo;s welcomes people of all experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our patients and families. Our organization recruits, employs, trains, compensates, and promotes based on merit without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p><p></p><p>
The people who work at Seattle Children&rsquo;s are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves.</p><p></p><p>
Seattle Children&rsquo;s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.</p></div></div></div></div>

Research Data Scientist

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale.<br>
<br>
We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale.<br>
As part of our diverse team&mdash;including data scientists, engineers, language engineers, linguists, and program managers&mdash;you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence.
<br>
<br>
Key job responsibilities<br>
In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions.<br>
Specific responsibilities include:<br>
<ul><li>Design and develop comprehensive evaluation and benchmarking datasets for Quick Suite AI-powered features</li><li>Leverage LLMs for synthetic data corpora generation; data evaluation and quality assessment using LLM-as-a-judge settings</li><li>Create ground truth datasets with high-quality question-answer pairs across diverse domains and use cases</li><li>Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance</li><li>Develop and refine annotation guidelines and quality frameworks for evaluation tasks</li><li>Conduct statistical analysis to measure model performance, identify failure patterns, and guide improvement strategies</li><li>Collaborate with ML scientists and engineers to translate evaluation insights into actionable product improvements</li><li>Build scalable data pipelines and tools to support continuous evaluation and benchmarking efforts</li><li>Contribute to Responsible AI initiatives by developing safety and fairness evaluation datasets</li></ul><br>
About the team<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
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Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
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Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
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Hybrid Work<br>
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ 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>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>1+ years of working with or evaluating AI systems experience</li><li>1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience</li><li>Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)</li><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li><li>Experience effectively communicating complex concepts through written and verbal communication</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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, CA, Santa Clara - 157,300.00 - 212,800.00 USD annually<br>
USA, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, AWS Quick Data

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.<br>
<br>
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics</li><li>Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul><br>
A day in the life<br>
<ul><li>Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders</li><li>Conduct experimentation, build causal models to better understand key drivers for customer retention
</li><li>Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>2+ years of data scientist experience</li><li>3+ 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>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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, CA, San Francisco - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, Amazon Music - DISCO

CommonSpirit Health

<div><b>Job Summary and Responsibilities</b><div><br>
This job is responsible for staffing/leading collaborative efforts to design, develop, test, implement and maintain data modeling and analytics solutions for use in clinical, quality and population health improvement. Work includes representing data in contexts to include reports, dashboards, quantitative analytic models and interactive analysis tools. An incumbent will conceptualize and develop analytic solutions to help address Virginia Mason Franciscan Health's (VMFH) complex challenges using a variety of data science, analytic techniques, and tools. Work includes anticipating and supporting the information needs of VMFH clinical and business partners, enabling data-driven decision-making, and contributing to a culture of collaborative analytics throughout the organization. Working with front-line clinicians, administrative leaders and information systems personnel, an incumbent will expand advanced clinical analytics capabilities and relevant components of the data and analytics infrastructure while maintaining high standards of data governance in alignment with industry and regulatory standards.</div><div></div><div><br>
Work requires knowledge of hierarchical and relational database design and application development including but not limited to SQL server, SSIS, VBA, ODBC, AWS. Requires experience in working with Epic EMR data sets in Clarity and Caboodle. Also requires familiarity with EMR reporting and business intelligence tools and expertise with respect to data architecture, technical documentation and end-user training/support.</div><div></div><div><br>
Key Responsibilities Include:</div><div></div><div><br>
Direct querying aqainst the Epic EMR data sets in Clarity and Caboodle (This requires Epic certification)</div><div></div><div><br>
Facilitates data-influenced decision making across VMFH; creates actionable insights from data to assist all levels of management and clinical leadership in making key business and clinical quality decisions.</div><div></div><div><br>
Strives to become a recognized internal subject matter expert and consultant on clinical, quality, data governance and population health data and data sources.</div><div>
Develops, validates, applies and maintains scalable data models including visualizations, statistical models and predictive/prescriptive (machine learning) models.</div><div></div><div><br>
Continuously reviews and updates deliverables to align with current regulatory, contracted and evidence-based quality metrics; researches and applies industry best practices in clinical population health analytics and data management.</div><div></div><div><br>
Works directly with clinicians and business intelligence staff to assure the integrity of clinical data used for analytics and reporting, including supporting initiatives to define and validate new clinical data mart tables.</div><div></div><div><br>
Builds competencies, under the direction and mentorship of higher-level colleagues, in advanced predictive analytics methods and data consolidation.</div><div></div><div><br>
Consults with stakeholders to discuss/understand business needs/requirements and to identify viable technological solutions/opportunities; prepares detailed specifications/record layouts and/or current/revised work flow diagrams from which interfaces/applications/databases will be written.</div><div></div><div><br>
Designs, develops (including complex coding) and documents interfaces/applications/databases that address user needs and meet professional development standards; develops scenarios and scripts to test new/updated tools to ensure desired functionality and that results produced are in line with objectives; troubleshoots/debugs problematic performance/issues; transfers programs to production environment when testing has been completed successfully; prepares and conducts end-user training as necessary.</div><div></div><div><br>
Maintains/updates interfaces/applications/databases once implemented; makes changes in tables/logic and tools; adds and deletes codes and other information; works with IT staff and other resources when systems are being upgraded to identify impact on existing interfaces.</div><div></div><div><br>
Serves as point-person for all issues and/or malfunctions involving the technical aspects of the assigned programs/tools; receives general alerts in the event of a problem, runs internal diagnostics to identify problems, troubleshoots and identifies causes/issues and executes timely resolution that may involve reconfiguration or re-programming of internal code.</div><div>
Provides internal consulting for departments in overall data management concepts/tools and select special applications to facilitate automation of end-user processes and workflows.</div><div></div><div><br>
Performs necessary procedures to ensure the safety of information systems assets and to protect systems from intentional or inadvertent access or destruction; implements security procedures to accommodate system and user requirements.</div><div></div><b><br>
Job Requirements</b><ul><li><div><br>
Bachelor's degree of Science in a Quantitative Discipline (BS in mathematics, statistics, health services research, informatics, epidemiology or research-oriented MPH) and three years of related work experience in quantitative data analysis, including one year in healthcare context.</div></li><li><div>
Or any equivalent combination of education and experience which provides the required knowledge, skills and abilities to perform the essential functions of the position.</div></li><li>
EPIC Certification required.</li></ul><div></div><b><br>
Where You'll Work</b><div><br>
Virginia Mason Franciscan Health has a rich history of providing exceptional healthcare, dating back to 1891. Building upon a legacy of compassionate care and innovation, our organization has evolved over the years through strategic partnerships and integrations to expand our reach and services across the Puget Sound area.<br>
<br>
Today, as Virginia Mason Franciscan Health, we remain deeply committed to healing the whole person &ndash; body, mind, and spirit &ndash; in the communities we serve. This commitment is strengthened by the diverse expertise and shared values brought together through our growth.<br>
<br>
Our dedicated providers offer a full spectrum of health care services, from routine wellness to complex disease management, all grounded in rigorous research and education. Our comprehensive network of 10 hospitals and nearly 300 care sites strategically located across the greater Puget Sound region reflects our ongoing commitment to accessibility and comprehensive care.<br>
<br>
We are proud of our pioneering medical advances and numerous awards and accreditations that reflect our dedication to excellence. When you join Virginia Mason Franciscan Health, you become part of a team that delivers top-quality, professional healthcare in modern, well-equipped facilities, and contributes to a legacy of service built on collaboration and shared purpose.</div><b><br>
Pay Range</b><br>
$45.06 - $67.03 /hour</div>

Clinical Data Scientist

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.<br>
<br>
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.<br>
<br>
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.<br>
<br>
Key job responsibilities<br>
<br>
Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models<br>
Working with technical and non-technical stakeholders across every step of science project life cycle<br>
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models<br>
Innovating by adapting new modeling techniques and procedures<br>
Presenting research results to our internal research community</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ 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>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience effectively communicating complex concepts through written and verbal communication</li><li>Master's degree</li><li>Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, Amazon Stores Finance Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.<br>
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We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.<br>
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We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.<br>
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Key job responsibilities<br>
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Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models<br>
Working with technical and non-technical stakeholders across every step of science project life cycle<br>
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models<br>
Innovating by adapting new modeling techniques and procedures<br>
Presenting research results to our internal research community</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ 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>4+ years of data scientist experience</li><li>Experience with statistical models e.g. multinomial logistic regression</li><li>Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science</li><li>Experience managing data pipelines</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience as a leader and mentor on a data science team</li><li>Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)</li><li>Master's degree</li><li>Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems</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>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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, CA, Sunnyvale - 183,000.00 - 247,600.00 USD annually<br>
USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually<br>
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually</div><p></p>

Senior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance Science

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