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machine learning engineer Jobs in Seattle

machine learning engineer

ai and data mid-market sales engineer senior manager Jobs in Seattle

applied scientist, aws applied ai solutions Jobs in Seattle

applied scientist, customer experience and business trends Jobs in Seattle

applied scientist, pricing science Jobs in Seattle

applied scientist, pricing science

data analyst i

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.
  </li>
  <li>
   Apply technical expertise to process complex datasets, establish quality control procedures, and derive actionable insights through analytics.
  </li>
  <li>
   Develop scalable processes for automating reports and visualizations to communicate findings effectively to stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to understand data requirements and address specific product questions or challenges.
  </li>
  <li>
   Document data sources and processes for data analysis.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who We Are Looking For:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or other relevant technical field.
  </li>
  <li>
   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.
  </li>
  <li>
   Demonstrated experience with Python and SQL.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points If You Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience using advanced statistical tools such as SciPy or sklearn.
  </li>
  <li>
   Prior experience with big data technologies such as Hadoop or Spark.
  </li>
  <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits And Perks
  <br/>
  <br/>
 </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:
 <br/>
 <br/>
 <ul>
  <li>
   Comprehensive benefits plan covering medical, dental, and vision
  </li>
  <li>
   Fertility benefits
  </li>
  <li>
   Company 401k plan plus matching
  </li>
  <li>
   Company paid Life Insurance
  </li>
  <li>
   20 days annually of Paid Time Off (with no accrual or tenure needed)
  </li>
  <li>
   9 Paid company holidays
  </li>
  <li>
   100% Paid Parental Leave - 20 weeks for birthing mothers and 12 weeks for all other parents
  </li>
  <li>
   Summer Fridays early close at 3 pm
  </li>
  <li>
   Fully stocked kitchen snacks with fresh fruit
  </li>
  <li>
   Happy hours and monthly catered lunches
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  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

Junior Acquisitions Analyst

FutureSight

<p></p><div><p>FutureSight is seeking an experienced and visionary Founding CEO to lead the launch of a new AI-native loan covenant monitoring and compliance platform for mid-market borrowers.</p><p>
CFOs and controllers are stuck managing covenant compliance through brittle spreadsheets and manual reporting, translating real-time ERP data into rigid bank formats under constant risk of technical default. At the same time, banks and credit funds waste enormous analyst time chasing data and validating calculations instead of managing risk.</p><p>
We&rsquo;re building a borrower-first compliance layer that sits between accounting systems and loan agreements. The platform automatically translates ERP data into lender-specific covenant logic, generates bank-ready compliance certificates, and surfaces early breach risk &mdash; without changing bank systems.</p><p>
This is an opportunity to build a category-defining AI platform in a $2B+ market, redefining how mid-market borrowers manage credit compliance.</p>
As Founding CEO, you will<ul><li>
Win customers &mdash; Run pilots, shape pricing, and validate retention + expansion.</li><li>
Build the product &mdash; Work with FutureSight&rsquo;s product/engineering pod to launch V1.</li><li>
Raise capital &mdash; Lead the seed round with our initial investment.</li><li>
Build your team &mdash; Hire your founding team and set the cultural foundation.</li></ul>
About FutureSight<p>
FutureSight is a venture studio that co-creates and invests in B2B SaaS and Vertical AI startups alongside exceptional entrepreneurs. We give founders an unfair advantage &mdash; pairing hands-on studio support with early capital, thereby reducing risk and increasing the odds of success by 10x.</p><p>
We&rsquo;re led by a cross-functional team of builders and investors. Kevin Nguyen and Alan Smith lead venture design and product strategy. Prathna Ramesh applies her experience as a venture investor with capital strategy in every new business. Dennis Ensing mentors our ventures with operational and strategic expertise, Krista LaRiviere brings years of entrepreneurial and marketing experience as a multi-time exited founder, and Anupama Joshi drives founder excellence. John Carbrey (San Francisco), a successful software entrepreneur and people leader, adds deep insight into scaling startups from 0 to 1, having built and exited multiple prior SaaS ventures.</p>
What We Bring<ul><li>
Validated problem &mdash; You will enter a venture with a proven market need and strong momentum toward building and scaling.</li><li>
Studio bench strength &mdash; Designers, engineers, growth marketers, and fundraising pros are embedded from Day 1.</li><li>
Capital commitment &mdash; Initial pre-seed funding for early hires and building the MVP with potential for follow-on funding, and access to our investor and advisor network.</li></ul>
What You Bring<ul><li>
Founder-level drive &mdash; You&rsquo;re motivated to co-found a new venture as the CEO. With or without us, this is your calling.</li><li>
Startup scrappiness &mdash; You know what you&rsquo;re signing up for. You&rsquo;re familiar with the scrappiness of owning something from start to finish.</li><li>
Previous founding experience &mdash; You have co-founded a product company or B2B SaaS venture, or have been at a venture-backed company.</li><li>
Risk appetite and capacity &mdash; Read more on our post on the Entrepreneurial Risk Profile.</li><li>
GTM chops &mdash; Proven success in B2B SaaS sales, marketing, and customer engagement.</li><li>
Fundraising fluency &mdash; Able to craft investor narratives and close capital; well-networked in fintech and early-stage communities.</li><li>
People leadership &mdash; Magnet for top talent; coach and culture carrier.</li><li>
Industry experience &mdash; Experience in lending, credit, finance, or CFO B2B SaaS, with hands-on exposure to financial reporting, compliance workflows, or risk management.</li></ul>
What You Can Expect<ul><li>
Daily active engagement with our team to: launch initial product, achieve initial market traction and prepare for seed fundraise.</li><li>
Full P/L ownership of the new entity.</li><li>
A significant equity stake in the business.</li><li>
This is a full-time role; we are seeking someone to dedicate themselves full-time and exclusively to building and owning a new SaaS venture.</li></ul><p>
Ready to build?<br>
If this is the perfect opportunity for you, we want to hear from you!</p><p>
Submit your Resume and LinkedIn profile and tell us more about why you think we should chat!</p><p>
FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.</p></div><p></p>

Co-Founder & CEO - AI for Credit and Finance

Nordstrom

<div><p>The Customer Insights &amp; Analytics team strives to make Nordstrom the best data-driven fashion retailer among competitors, who wins by rigorous and thoughtful application of data science to unlock value for the enterprise. We focus on three business outcomes: more customers, happier customers, and more engaged customers</p><p></p><p>
The Data Analyst 3 &ndash; Merchandising Customer Insights will be a key contributor on a squad of highly skilled data analysts focused on harmonizing customer insights through the lens of our product offer, supporting operational decision-making by category and division merchandising leaders. This individual will help grow and scale a new insights domain with focus areas that include competitive pricing and promotions, category and brand insights, and supporting category planning.</p><p></p><p>
Success in this role comes from being an effective partner to merch leaders, storytelling for internal decision-making and to Nordstrom's brand partners, and the ability to create connective tissue between the Nordstrom Merchandising Group (including Nordstrom Product Group), Digital Merchandising, and Marketing. They must have a high degree of curiosity about the business, the skills to discover impactful insights from data, and the ability to communicate those insights in a way that builds confidence and drives business value. This individual should have working knowledge of the business and ability to partner with operational leadership in helping customers feel good and look their best across our four boxes: Nordstrom Stores, Nordstrom.com, Rack Stores, and NordstromRack.com.</p><p></p><p>
A Day in the Life&hellip;</p><ul><li>
Partner with key stakeholders to define success and develop measurement frameworks</li><li>
Dive deep into complex business problems and provide insights on merch performance through hypothesis testing</li><li>
Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations.</li><li>
Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain.</li><li>
Own the definition and implementation of new metrics.</li><li>
Find opportunities to use data to develop new strategies and improve overall performance.</li><li>
Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to</li><li>
Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.</li><li>
Reconcile divergent demands from multiple stakeholders in a fast-paced work environment.</li><li>
Mentor more junior team members on analytics, storytelling and communication best practices.</li><li>
Influence and support the Center of Excellence standards and best practices of analytics.</li><li>
Use advanced analytical and statistical practices to create thorough and actionable insights.</li></ul><p></p><p>
You own this if...</p><ul><li>
Bachelor's Degree in a quantitative field (or equivalent experience)</li><li>
5+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.</li><li>
3+ years of experience in extracting &amp; manipulating large data sets from various relational databases using SQL (BigQuery preferred).</li><li>
Strong problem solving skills - Is able to complete ambiguous projects independently &amp; plan out the priority order of tasks; find the right resources to complete the tasks and make smart decisions regarding trade-offs.</li><li>
Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.</li><li>
Experience with statistical and machine learning algorithms (e.g. regression, classification and/or clustering). Proficiency with graphics/visualization software (e.g. Shiny, ggplot, matplotlib, Tableau).</li><li>
Ability to be flexible and work in a fast-paced and dynamic organization</li><li>
Clear and effective written and verbal communication and strong interpersonal skills</li></ul><p></p><p><b>
We&rsquo;ve got you covered&hellip;</b></p><p></p><p>
Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:</p><ul><li><p>
Medical/Vision, Dental, Retirement and Paid Time Away</p></li><li><p>
Life Insurance and Disability</p></li><li><p>
Merchandise Discount and EAP Resources</p></li></ul><p></p><p>
A few more important points...</p><p></p><p>
The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.</p><p></p><p>
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
</p><p></p><p>Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.</p><p></p><p>
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.</p><p></p><p>
&copy; 2022 Nordstrom, Inc</p><p></p><p>
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.</p><p></p><p>
Nordstrom keeps job postings open for at least one day after the posting date.</p><p></p><p><b>
Pay Range Details</b></p><p></p><p>
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.<br>
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.</p>
$102,500.00 - $170,500.00 Annual<p></p>
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf</div><p></p>

Data Analyst 3, Merchandising Customer Insights (Hybrid, Seattle)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you a tech-savvy storyteller who can translate complex cloud solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of cloud computing.
<br>
<br>
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across multiple domains - from Analytics and AI to Security and Developer Tools.<br>
<br>
We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business.<br>
<br>
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.
<br>
<br>
Key job responsibilities<br>
Partner with product management and GTM teams to develop portfolio-level strategy documents and guide AWS service prioritization<br>
Create and own positioning and messaging that clearly articulates value propositions to customers
<br>
Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
<br>
Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
<br>
Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings
<br>
Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions
<br>
Drive field enablement strategies to support product launches, campaigns, and customer success<br>
Aligns with technical and business leaders on primary cloud and AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or equivalent</li><li>6+ years of direct experience working in the Financial Services industry vertical</li><li>6+ years of hands-on experience with cloud architectures in technical domains (e.g., Analytics, Developer Tools, Compute, Databases, Generative AI)</li><li>Demonstrated experience creating technical content and delivering technical presentations to diverse audiences</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>MBA, or Master's degree</li><li>Experience developing go-to-market strategies for technical products</li><li>Track record of creating compelling technical demonstrations and reference architectures</li><li>Strong data analysis skills with ability to synthesize insights from multiple source</li><li>Experience presenting to executive-level audiences and industry analysts</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 161,900.00 - 218,600.00 USD annually<br>
USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually</div><p></p>

Sr. Product Marketing Manager - Tech, Financial Services Industry, AWS Industry Marketing

Aircall

<p></p><div><div><p><div><div><div><b>Seattle Office /</b><b> San Francisco Office</b></div><div><b>Engineering &ndash; 13008 - Data /</b></div><div><b>Permanent Full Time Employee /</b></div><div><b>Hybrid</b></div></div></div><p>
</p></p></div><div><div><div>
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</div><div></div><div><br>
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</div><div></div><div><br>
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</div><div>
At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</div><div></div><div><b><br>
How we work at Aircall: </b>We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.</div><div></div><div><b><br>
About the role
</b></div><div>The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.</div><div></div><div><br>
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.</div></div><div><div><ul><ul><li>
Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.</li><li>
Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.</li><li>
Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.</li><li>
Own the core company data pipeline, responsible for converting business needs to efficient &amp; reliable data pipelines.</li><li>
Participate in code reviews to ensure code quality and share knowledge.</li><li>
Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.</li><li>
Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.</li><li>
Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
A little more about you:</b></h3><ul><ul><li>
Bachelor's degree or higher in Computer Science, Engineering, or a related field.</li><li>
3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.</li><li>
Proficient in SQL and Python, with the ability to translate complexity into efficient code.</li><li>
Experience with data workflow development and management tools (dbt, Airflow).</li><li>
Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.</li><li>
Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li><li>
Prior experience designing <b>AI-ready data semantic layer</b> is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.</li><li>
Experience with data tooling, data governance, business intelligence and data privacy is a plus.</li></ul></ul></div></div><div><div>
$154,000 - $186,000 a year</div><div>
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.</div></div><div><div>
Why join us?</div><div></div><div><br>
   Key moment to join Aircall in terms of growth and opportunities</div><ul><li>️ Our people matter, work-life balance is important at Aircall</li></ul><div>
   Fast-learning environment, entrepreneurial and strong team spirit</div><div>
   45+ Nationalities: cosmopolite &amp; multi-cultural mindset</div><div>
   Competitive salary package &amp; equity</div><div>
   Medical, dental, and vision insurance is 100% covered</div><div>
   401k plan with company matching!</div><div>
✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!</div><ul><li>️ Wellness, internet, and childcare reimbursements</li></ul><div>
   Generous parental leave policy</div><div></div><div><br>
DE&amp;I Statement:</div><div>
At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.</div><div></div><div><br>
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.</div><div></div><div><br>
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</div><div></div><div><br>
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.</div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div></div><p></p>

Data Engineer, Data and Science

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
AWS Infrastructure Services Science (AISS) researches and builds machine learning models that influence the power utilization at our data centers to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization.<br>
<br>
As a Data Scientist, you will work on our Science team and partner closely with other scientists and data engineers as well as Business Intelligence, Technical Program Management, and Software teams to accurately model and optimize our power infrastructure. Outputs from your models will directly influence our data center topology and will drive exceptional cost savings. You will be responsible for building data science prototypes that optimize our power and thermal infrastructure, working across AWS to solve data mapping and quality issues (e.g. predicting when we might have bad sensor readings), and contribute to our Science team vision.<br>
<br>
You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you&rsquo;re told a model can make assumptions, you actively try to break those assumptions.<br>
<br>
You have passion for excellence. The wrong choice of data could cost the business dearly. You maintain rigorous standards and take ownership of the outcome of your data pipelines and code.<br>
<br>
You do whatever it takes to add value. You don&rsquo;t care whether you&rsquo;re building complex ML models, writing blazing fast code, integrating multiple disparate data-sets, or creating baseline models - you care passionately about stakeholders and know that as a curator of data insight you can unlock massive cost savings and preserve customer availability.<br>
<br>
You have a limitless curiosity. You constantly ask questions about the technologies and approaches we are taking and are constantly learning about industry best practices you can bring to our team.<br>
<br>
You have excellent business and communication skills to be able to work with product owners to understand key business questions and earn the trust of senior leaders. You will need to learn Data Center architecture and components of electrical engineering to build your models.<br>
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You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives. The tradeoffs of cost savings and customer availability are constantly up for debate among senior leadership - you will help drive this conversation.<br>
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Key job responsibilities<br>
<ul><li>Proactively seek to identify opportunities and insights through analysis and provide solutions to automate and optimize power utilization based on a broad and deep knowledge of AWS data center systems and infrastructure.</li><li>Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear.</li><li>Collaborate with Engineering teams to obtain useful data by accessing data sources and building the necessary SQL/ETL queries or scripts.</li><li>Build models and automated tools using statistical modeling, econometric modeling, network modeling, machine learning algorithms and neural networks.</li><li>Validate these models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.</li><li>Collaborate with Engineering teams to implement these models in a manner which complies with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.</li></ul><br>
About the team<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>
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*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>
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*Diverse Experiences*<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<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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*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) conferences, inspire us to never stop embracing our uniqueness.<br>
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*Mentorship and 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.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience</li><li>Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field</li><li>3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience</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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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, VA, Herndon - 108,300.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually</div><p></p>

Data Scientist, AWS Infrastructure Services Science

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