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aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

applied science manager , stores foundation ai (sfai) Jobs in Seattle

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business development lead, cloud & ai

head of data science identity compliance

Socure

<div><h2 class="jobSectionHeader"><b>Why Socure?</b></h2><p>
Socure is building the identity trust infrastructure for the digital economy &mdash; verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.</p><p>
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won&rsquo;t be your place. If you want to help build the future of identity with a team that holds a high bar for itself &mdash; keep reading.</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking a highly driven and innovative leader to build and scale the next generation of AI-powered identity and compliance solutions. This role will lead the Data Science function across core identity and compliance products, including <b>KYC, International KYC, Global Watchlist, Advanced Prefill, and Identity Graph</b>.</p><p>
In addition to advancing core modeling capabilities, you will spearhead the development of <b>intelligent, agent-driven systems</b> that automate and optimize identity decisioning, investigation, and compliance workflows. You will define the technical vision and execution strategy for identity at scale, pushing the boundaries of machine learning, graph intelligence, and autonomous systems to solve some of the hardest problems in digital identity and regulatory compliance.</p><p>
This role requires a leader who sets a high bar for execution, thrives in ambiguity, and consistently translates complex, high-stakes problems into scalable, production-grade systems.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><p><b>
Own and drive the data science vision</b> for Identity &amp; Compliance, delivering measurable improvements in accuracy, coverage, latency, and customer impact across all products in scope.</p></li><li><p><b>
Lead, build, and develop a high-performing team</b> of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability.</p></li><li><p><b>
Architect and deploy advanced machine learning systems</b> across identity verification, entity resolution, sanctions screening, and compliance risk modeling.</p></li><li><p><b>
Drive the development of graph-based intelligence</b>, including large-scale <b>graph neural networks (GNNs)</b> and link analysis models to power Identity Graph, fraud detection, and watchlist matching.</p></li><li><p><b>
Lead the design and implementation of agent-based AI systems</b>, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies.</p></li><li><p><b>
Advance state-of-the-art modeling approaches</b>, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data.</p></li><li><p><b>
Drive innovation in Identity Graph and Prefill systems</b>, improving identity resolution, linking, and enrichment capabilities across global datasets.</p></li><li><p><b>
Partner closely with Product, Engineering, Risk, and Go-to-Market teams</b> to translate business needs into scalable AI solutions that deliver customer value.</p></li><li><p><b>
Own the end-to-end model lifecycle</b>, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring.</p></li><li><p><b>
Ensure alignment with regulatory and compliance requirements</b>, balancing model performance with explainability, auditability, and governance.</p></li><li><p><b>
Continuously raise the bar on experimentation and execution velocity</b>, enabling rapid iteration while maintaining high standards for reliability and impact.</p></li><li><p><b>
Own customer communication and stakeholder management, </b>serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.</p></li><li><p><b>
Represent Socure externally</b> as a thought leader in identity, compliance, and applied AI.</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You Bring</b></h2><ul><li><p>
Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field.</p></li><li><p>
10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.</p></li><li><p>
Significant experience in <b>identity verification, KYC/AML, fraud detection, or risk modeling</b> in fintech or adjacent domains.</p></li><li><p>
Proven leadership experience managing and scaling high-performing data science teams.</p></li><li><p>
Deep expertise in <b>modern machine learning techniques</b>, including deep learning, <b>graph neural networks</b>, entity resolution, and large-scale data systems.</p></li><li><p>
Strong understanding of <b>agentic system design</b>, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.</p></li><li><p>
Strong experience working with <b>heterogeneous data sources</b>, including structured data, text, network/graph data, and third-party identity signals.</p></li><li><p>
Demonstrated ability to <b>drive ambiguous, high-impact problems to production</b>, balancing speed, rigor, and business outcomes.</p></li><li><p>
Hands-on experience with <b>Apache Spark</b> and large-scale distributed data systems.</p></li><li><p>
Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.</p></li><li><p>
Proven ability to <b>engage with customers and external stakeholders</b>, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.</p></li><li><p>
Experience representing organizations in <b>customer-facing discussions, executive briefings, or public speaking engagements</b> is strongly preferred.</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Get</b></h2><ul><li><p>
Work on some of the most challenging and impactful problems in identity and fraud prevention</p></li><li><p>
Build industry-defining AI systems at the intersection of graph intelligence and autonomous agents</p></li><li><p>
Join a fast-moving, high-caliber team that values innovation and ownership</p></li><li><p>
Competitive compensation, equity, and benefits</p></li><li><p>
Opportunity to shape the future of digital identity at global scale</p></li></ul><p></p><p><i>
Please note that we can only hire within ~45 miles of San Francisco, New York, Seattle, Miami, and DC. We are unable to provide sponsorship support now or in the future.</i></p><p><i>
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</i><br>
<i>If you need an accommodation during any stage of the application or hiring process&mdash;including interview or onboarding support&mdash;please reach out to your Socure recruiting partner directly.</i></p><p><b><br>
Follow Us!</b></p><p>
YouTube | LinkedIn | X (Twitter) | Facebook</p><p>
Compensation Range: $250K - $300K</p></div>

Head of Data Science - Identity & Compliance

Arboreal Management

<div><p><b>Location:</b> Remote or Hybrid (Seattle)<br>
<b>Reports to:</b> Chief Financial Officer &amp; Head of Development<br>
<b>Salary/Hours</b>: $35/hour, 25 hours/week</p><p><b>
Overview</b></p><p>
We are a fast growing integrated real estate company in the affordable housing space seeking a highly capable Accounting Manager with direct experience in construction and real estate development accounting to support our growing platform.</p><p>
This role owns accounting for:</p><ul><li><p><b>
Arboreal Construction (job costing + project accounting)</b></p></li><li><p><b>
Great Expectations (development entities and projects)</b></p></li></ul><p>
The right candidate will already be fluent in job cost accounting, construction draws, and development financial workflows and can operate independently from day one.</p><p></p><p><b>
Core Responsibilities</b></p><p><b>
Construction Accounting (Primary Focus)</b></p><ul><li><p>
Role will be supported by the construction manager, who has ultimate responsibility of the project P&amp;L</p></li><li><p>
Maintain job cost accounting across multiple active construction projects. Ensure cost properly tracked between project, cost codes and vendors</p></li><li><p>
Invoice creation, issuance to client, tracking payment of invoices</p></li><li><p>
Assembly of monthly draw package when the construction project has lender billings. Track retention, sales tax, etc</p></li><li><p>
Ensure accurate cost coding across jobs and cost categories</p></li><li><p>
Partner with construction/project manager to maintain real-time cost visibility</p></li><li><p>
Produce monthly job cost reports and variance analysis</p></li></ul><p><b>
Development Accounting (Secondary Focus)</b></p><ul><li><p>
Role will be supported by head of development, who has ultimate responsibility for project P&amp;L</p></li><li><p>
Prepare lender draw package, assembling invoices from consultants, updating budget billing sheet, gathering lien releases (when required)</p></li><li><p>
Maintain development entity books and support investor/lender reporting</p></li><li><p>
Ensure compliance with financing requirements and reporting timelines</p></li></ul><p></p><p><b>
Non-Negotiable Requirements</b></p><p>
Candidates must have <b>hands-on experience</b> with:</p><ul><li><p>
Construction job costing systems (not just conceptual knowledge)</p></li><li><p>
Preparing lender draw packages for ground-up or major rehab projects</p></li><li><p>
Working across multiple entities and projects simultaneously</p></li></ul><p></p><p><b>
Why Join Us</b></p><ul><li><p>
Direct exposure to active development and construction projects</p></li><li><p>
Opportunity to work across management, construction, and development in one platform</p></li><li><p>
Build systems and processes in a fast-growing, mission-driven company</p></li><li><p>
Work closely with a high-caliber CFO and leadership team</p></li></ul><p></p><p><b>
About Us</b></p><p>
We are a fully integrated real estate platform focused on the development, ownership, and management of multifamily housing across the Pacific Northwest.</p><p>
Our platform includes:</p><ul><li><p><b>
Arboreal Management</b> &ndash; a property management company overseeing thousands of apartment homes</p></li><li><p><b>
Arboreal Construction</b> &ndash; an in-house construction company delivering renovations and ground-up projects</p></li><li><p><b>
Great Expectations</b> &ndash; a development and investment platform focused on expanding housing supply</p></li></ul><p>
We operate with a clear mission:<br>
<b>to deliver below-market rents to residents while achieving above-market returns for investors.</b></p><p>
Our model is built on vertical integration, operational discipline, and a commitment to long-term ownership. We combine local expertise with a modern, technology-enabled approach, including internally developed tools that support accounting, reporting, and operations.</p><p>
We are growing quickly, with a large and expanding pipeline of development projects. As we scale, we are building a finance and accounting team that can support increasingly complex construction and development activity while maintaining accuracy, speed, and transparency.</p><p>
This is an opportunity to join a high-performance team working across <b>property management, construction, and development</b> in a single, unified platform.</p><p><i>
Arboreal is a drug-free workplace, and we use E-Verify to confirm the identity and employment eligibility of all new hires</i></p></div>

Part Time Accounting Manager - Construction

Vibotek LLC

<div>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1. Ingest and process data from Salesforce (Investments), Dynamics 365 &amp; Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).
  </li>
  <li>
   2. Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.
  </li>
  <li>
   3. Design simple, reusable data models to support training and inference.
  </li>
  <li>
   4. Implement data quality tests, documentation, and lineage in DBT
  </li>
  <li>
   5. Ensure performance optimization, cost efficiency, and compliance with governance standards.
  </li>
  <li>
   6. Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirnments
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1. &lrm;Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
  </li>
  <li>
   2. Strong background in ETL/ELT pipeline development.
  </li>
  <li>
   3. Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
  </li>
  <li>
   4. Solid SQL and Python skills; knowledge of data quality frameworks.
  </li>
 </ul>
</div>


Data Engineer

Amazon.com

<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>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>
<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 - 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

King County, WA

<div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><br>
<p></p><div><br>
<br>
<br>
<div><b>The Department of Community and Human Services values diverse perspectives and life experiences. The Department encourages people of all backgrounds to apply, including Black, Indigenous, and People of Color, immigrants, refugees, women, LGBTQ, people with disabilities, veterans, and those with lived experiences.</b></div><p><br>
<br>
 King County's Department of Community and Human Services (DCHS) provides equitable opportunities for people to be healthy, happy, and connected to community.</p><p><br>
At King County Department of Community and Human Services (DCHS), we believe in working as one team that solves problems&mdash;striving to be customer-focused and drive for the best results. We envision a welcoming community that is racially just. We believe the field of human services exists to undo and mitigate unfair structures. We seek to lead the way by working as respectful and responsible stewards for our community.</p><p>
The Behavioral Health and Recovery Division (BHRD) of DCHS is looking for a Hospital and Mental Health Residential Treatment Utilization Management Supervisor (Project/Program III). This position will hold direct responsibility for the overall Utilization Management of the Hospital &amp; Mental Health Residential Treatment Section.</p><p><b>
WHO MAY APPLY: </b>This position is open to all qualified candidates who meet the minimum qualifications. Interviews for this selection process will take place on or around 6/9/26.</p><div></div><p><b><br>
APPLICATION PROCESS</b><br>
If you are interested in pursuing this position, please follow the application instructions carefully. If you need this announcement in an alternate language or format, would like to request accommodation or assistance in the application or assessment process, or if you have questions, please contact the recruiter listed on this job announcement.<br>
The following items are required to be considered for this vacancy:</p><ul><li><b>
NeoGov Job Application </b><i>(The responses on your job application should be thorough and complete, and will be used in the screening process)</i></li><li><b>
Supplemental Questions </b><i>(The responses to the supplemental questions should be thorough and complete, and will be used in the screening process)</i></li></ul><p>
Your application may be rejected as incomplete if you do not include the relevant information in the application. Cover letters and/or resumes are not accepted in lieu of a completed application. Applications and/or Supplemental Questionnaires that state &quot;see my resume&quot; or &quot;see my personnel file&quot; are considered incomplete and will not be accepted.</p><p>
This selection process may also be used to create a pool of candidates for current and future career service, term-limited temporary, and special duty opportunities. The pool will be active for 6 months.</p><div></div><p><b><br>
WORK SCHEDULE/CONDITIONS: </b>This position is scheduled to work 40 hours per week, Monday - Friday, 8 am - 5 pm. This position meets the provisions of the Fair Labor Standards Act and is overtime eligible with supervisory pre-approval.</p><div></div><div><b><br>
MISSION CRITICAL POSITION STATUS: </b>This position has been designated Mission Critical. Unless otherwise directed by the County Executive, department director, or agency head, all employees, regardless of designation, are expected to report to work or request leave during an emergency or inclement weather. For more detailed information, please visit HR Policy County Operations During Emergency Situations and the King County Guidelines for Workforce Management in an Emergency.</div><div></div><div><b><br>
TELEWORKING REQUIREMENT: </b>DCHS works in a hybrid model, with days in the office as well as telecommuting. The ratio of remote to onsite work will be dependent on business needs and is subject to change. The primary onsite location is the Chinook Building at 401 Fifth Avenue, Seattle, WA 98104.</div><div></div><div><br>
Employees must reside in Washington state and within a reasonable distance to their King County worksite to respond to workplace reporting requirements.</div><div></div><div><br>
King County has a robust collection of tools and resources to support working remotely. The individual selected for this opportunity will join an innovative and progressive team that is redefining how we work as we transition to the department's hybrid environment. Employees will be provided with a County-issued laptop and must maintain a home workspace with an internet connection where they can reliably perform work and remain available and responsive during scheduled work hours.</div><div></div><div><b><br>
RECRUITER: </b>Greg Mallory, grmallory@kingcounty.gov</div></div><p></p>
<div><h2 class="jobSectionHeader"><b>Job Duties</b></h2></div>
<p></p><div><ul><li>Contribute to quality assurance and reporting activities, including site visits of mental health residential treatment providers, contract compliance reviews, invoice reconciliation, and other monitoring activities as assigned.</li><li>
Demonstrated contract management experience, including but not limited to invoice reconciliation, data entry, data validation, and independent quality assurance reviews.</li><li>
Complete and direct continuing stay reviews to determine that an individual continues to meet medical necessity standards commensurate with the current level of functioning as determined by the Level of Care Utilization System (LOCUS) Assessment.</li><li>
Supervise and monitor the team of Mental Health Utilization Project-Program Manager II staff as part of a collaborative Utilization Management Team.</li><li>
Lead the collection, analysis, and reporting of utilization and care-transition data to ensure timely progression of care, appropriate resource use, and optimal patient throughput across the continuum.</li><li>
Develop close coordination, partnership, and communication within the Behavioral Health and Recovery Division (BHRD) and other departments within the Department of Community &amp; Human Services.</li><li>
Ensure continuing stay reviews meet Utilization Management Timelines established by BHRD&rsquo;s Quality team and Managed Care Organizations (MCOs).</li><li>
Communicate outcomes of continuing stay reviews with supervisors of mental health residential facilities contracted through the King County Integrated Care Network (KCICN).</li><li>
Develop and maintain excellent working relationships with behavioral health providers working in the mental health residential treatment continuum.</li><li>
Align the workflow of the Utilization Management Team to promote equity and social justice, a recovery-oriented system of care, with the goal of providing a transition from psychiatric hospitalization.</li><li>
Attend and participate in assigned meetings, treatment conferences, and committees relevant to the performance of job functions.</li><li>
Troubleshoot, advocate, and resolve issues that may arise between community members, behavioral health housing providers, or governmental organizations.</li><li>
Participate as part of the Hospital and Mental Health Residential Treatment (HMHR) Section Leadership Team.</li><li>
Perform other related duties as assigned.</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Experience, Qualifications, Knowledge, Skills</b></h2></div>
<p></p><div><ul><li>Master's Degree in Social Work, Psychology, Behavioral Science, or related field with an independent license.</li><li>
Mental Health Professional as defined in WAC 246-341-0200 and RCW 71.05.020.</li><li>
Demonstrated leadership skills to include leading daily operations, supporting care-transition decision-making, and promoting collaboration across departments to optimize resource utilization and patient movement.</li><li>
A minimum of 2 or more years of recent supervisory experience in a mental health setting, preferably mental health residential treatment, Utilization Management, or Quality Assurance.</li><li>
Experience working with publicly funded behavioral health service systems.</li><li>
Knowledge of utilization management strategies and quality management practices.</li><li>
Knowledge of issues related to mental health residential treatment facilities.</li><li>
Knowledge of and experience with psychiatric hospital discharge planning services and the scope of services provided within the facilities.</li><li>
Demonstrated ability to work effectively with a broad range of constituents, including consumers, social services and housing providers, volunteers, government officials, community members, boards, high-level management, elected officials, advocates, government and agency staff, and others.</li><li>
Excellent verbal and written communication skills.</li><li>
Experience gathering and utilizing data, and generating reports for system improvements and for presentations to management staff and others.</li><li>
Demonstrated ability to simultaneously manage multiple tasks/projects in detail and meet deadlines.</li><li>
Computer skills; knowledge of MS Outlook, Word, PowerPoint, and Excel.</li><li>
Must be able to pass a criminal background check on a pre-hire/post-offer basis.</li></ul><div><b>
Desired Experience, Qualifications, Knowledge, Skills</b></div><ul><li>
Recent demonstrated contract management experience, including but not limited to invoice reconciliation, data entry, data validation, and independent quality assurance reviews.</li><li>
Knowledge or experience with ECLS, PDAMS, and HMIS.</li><li>
Knowledge or experience with LOCUS (Level of Care Utilization System) Assessment</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Supplemental Information</b></h2></div>
<p></p><div><p><b>Forbes named King County as one of Washington State's best employers.</b></p><b>
Together, with leadership and our employees, we're changing the way government delivers service and winning national recognition as a model of excellence. Are you ready to make a difference? </b><b>Come join the team</b><b> dedicated to serving one of the nation's best places to live, work and play.</b>Guided by our &quot;True North&quot;, we are making King County a welcoming community where every person can thrive. We value diversity, inclusion and belonging in our workplace and workforce. To reach this goal we are committed to workforce equity. Equitable recruiting, support, and retention is how we will obtain the highest quality workforce in our region; a workforce that shares and will help advance our guiding principles - we are one team; we solve problems; we focus on the customer; we drive for results; we are racially just; we respect all people; we lead the way; and we are responsible stewards. We encourage people of all backgrounds and identities to apply, including Native American and people of color, immigrants, refugees, women, LGBTQ+, people living with disabilities, and veterans.<p><b>
King County is an Equal Employment Opportunity (EEO) Employer</b></p><p>
No person is unlawfully excluded from employment opportunities based on race, color, religion, national origin, sex (including gender identity, sexual orientation and pregnancy), age, genetic information, disability, veteran status, or other protected class. Our EEO policy applies to all employment actions, including but not limited to recruitment, hiring, selection for training, promotion, transfer, demotion, layoff, termination, rates of pay or other forms of compensation.</p><p><b>
To Apply</b></p><p>
If you are interested in pursuing this position, please follow the application instructions carefully. If you need this announcement in an alternate language or format, would like to request accommodation or assistance in the application or assessment process or if you have questions please contact the recruiter listed on this job announcement.</p></div></div></div><p></p>

Utilization Management Supervisor (PPM III)

Stackline

<div>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together.
 <br/>
 <br/>
 <strong>
  About the Role:
  <br/>
  <br/>
 </strong>
 Join us as a Data Analyst where you will step into a dynamic role that that makes a real impact for our clients. If you are passionate about uncovering hidden insights within complex data sets and transforming raw data into actionable knowledge, then we want to talk with you! In this role you will embark on an adventure that utilized your analytical prowess to decode data, identify trends, and help shape the future of Stackline. Apply today and help us on our quest to unlock the full potential of data while contributing to meaningful change! This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.
 <br/>
 <br/>
 <strong>
  What You Will Do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct comprehensive dataset analyses across Stackline to extract insights, trends, and patterns utilizing mathematical, statistical, and probability methodologies.
  </li>
  <li>
   Build and maintain data pipelines and workflows to ensure data accuracy and consistency, while identifying and rectifying errors, inconsistencies, or missing information.
  </li>
  <li>
   Provide timely and precise responses to inquiries from both internal and external sources regarding datasets and models.
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   Apply technical expertise to process complex datasets, establish quality control procedures, and derive actionable insights through analytics.
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   Develop scalable processes for automating reports and visualizations to communicate findings effectively to stakeholders.
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   Collaborate with cross-functional teams to understand data requirements and address specific product questions or challenges.
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   Document data sources and processes for data analysis.
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 <strong>
  Who We Are Looking For:
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  <li>
   Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or other relevant technical field.
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   2+ years of direct industry work experience in one or more of the following areas: data science, data analytics, or data engineering.
  </li>
  <li>
   2+ years of experience with statistics and probability, particularly their application in systems analysis and operations research.
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   Demonstrated experience with Python and SQL.
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  Bonus Points If You Have:
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  <li>
   Prior experience using advanced statistical tools such as SciPy or sklearn.
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   Prior experience with big data technologies such as Hadoop or Spark.
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  <li>
   Demonstrated experience designing and building innovative ideas, working closely with technical teams from concept generation through implementation.
  </li>
  <li>
   Experience working in a startup, retail, digital advertising, or e-commerce environment.
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  </li>
 </ul>
 <strong>
  Benefits And Perks
  <br/>
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 </strong>
 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 $85,000 - $105,000 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:
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  <li>
   Comprehensive medical, dental, and vision coverage that actually supports you &mdash; including HSA with company match and FSA options
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   Fertility benefits to support your path to parenthood
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  <li>
   401(k) with company match to help you plan ahead
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   Company-paid life insurance
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   20 days of PTO + 9 company holidays to truly unplug
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   Paid parental leave for all parents &mdash; because family matters
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   Summer Fridays (log off at 3pm and enjoy it)
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   Regular in-office social events including happy hours and catered lunches
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   A thoughtfully stocked kitchen with healthy snacks and fresh fruit
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 </ul>
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  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.
 </em>
</div>


Data Analyst I

<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>
<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

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