merchandising/sales representative, seattle

aiml - machine learning engineer, data and ml innovation

aiml - sr backend engineer, data and ml innovation

applied ml engineer - ai/ml evaluation & simulation

content creator, owned & social channels , operations internal communications

machine learning engineer Jobs in Seattle

machine learning engineer

merchandising/sales representative, seattle Jobs in Seattle

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

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

applied ml engineer - ai/ml evaluation & simulation Jobs in Seattle

data scientist digital data science hybrid seattle wa

Nordstrom

<div><p>Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. We live by five simple values that guide how we work together day-to-day and how we deliver analytics &amp; data science products. We are customer-obsessed, owners at heart, curious and ever-changing, we extend ourselves to our peers and our customers, and we&rsquo;re here to win!</p><p>
The Digital Data Science team focuses on building and supporting AI/ML-powered products that shape the Nordstrom digital customer experience, including personalization and recommendation systems, conversational search, fraud detection, and other customer-facing intelligent features. As an integral part of our digital data science team, the Data Scientist I works alongside senior data scientists to develop and evaluate machine learning models that drive these products. This Data Scientist should have foundational knowledge of modern deep learning architectures, solid analytical skills to support model performance assessment through A/B testing and post-launch analysis, and the ability to communicate data insights and findings clearly to partners and the business.</p><p></p><p>
The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. The individual should be highly curious about the business and possess the skills to unlock rich, nuanced insights from complicated data and communicate those insights in a way that drives positive business outcomes.</p><p></p><p>
We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We&rsquo;re an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data science, and technology excites you, join our world-class data science team!</p><p></p><p>
A day in the life...</p><ul><li><p>
Collaborate with product, engineering, and cross-functional partner teams to build and improve ML-powered digital products such as personalization, recommendation, conversational search, and fraud detection systems.</p></li><li><p>
Design, train, fine-tune, and evaluate deep learning models, including transformer-based architectures, for applications such as recommendation, ranking, natural language understanding, and anomaly detection.</p></li><li><p>
Extract and prepare large sets of data for analysis; improve existing data resources by building data pipelines using AWS/GCP tools and other cloud services.</p></li><li><p>
Support senior data scientists on model deployment, contributing to prototyping, training, testing, and monitoring, while learning production serving best practices.</p></li><li><p>
Work within and across teams to develop and deploy data products and data-driven software, driving collaboration and adoption on major data-science initiatives.</p></li><li><p>
Support A/B testing and post-launch analysis to measure model impact, help diagnose why models are or are not working, and contribute to data-informed iteration on product features.</p></li><li><p>
Help develop and drive adoption of best practices in all aspects of the Data Science workflow, including intake, design, code review, testing, automation, documentation, reporting, and long-term maintainability.</p></li><li><p>
Actively learn from senior data scientists and analysts, growing in both technical skills and business acumen while contributing fresh perspectives to the team.</p></li></ul><p></p><p>
Minimum qualifications include&hellip;</p><ul><li><p>
1&ndash;3 years of hands-on professional experience in Data Science, Analytics, or a related quantitative field (including internships or research positions).</p></li><li><p>
1+ years of working experience with Python or R, including data manipulation, analysis, and visualization.</p></li><li><p>
Experience working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and document sharing).</p></li><li><p>
1+ years of working experience with machine learning and deep learning algorithms, including familiarity with transformer architectures and modern neural networks (e.g., attention mechanisms, embeddings, fine-tuning pre-trained models, as well as classical methods such as gradient boosting, collaborative filtering, etc.).</p></li><li><p>
1+ years of working experience extracting and manipulating data using SQL; exposure to big-data tools such as Hive or Spark is a plus.</p></li><li><p>
Exposure to ML model deployment workflows and A/B testing concepts; eagerness to learn production ML practices.</p></li><li><p>
Passion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation.</p></li><li><p>
Ability to communicate analytical findings clearly to technical and non-technical audiences.</p></li></ul><p></p><p>
Our ideal candidate has&hellip;</p><ul><li><p>
Experience contributing to data science projects in a team setting (academic, internship, or professional).</p></li><li><p>
Experience developing packages in Python along with clear documentation.</p></li><li><p>
Exposure to ML model serving or deployment tools (e.g., SageMaker, AzureML, Docker, Flask) through coursework, personal projects, or internships.</p></li><li><p>
Experience developing and deploying automated data pipelines using cloud services (e.g. AWS/GCP).</p></li><li><p>
Strong background in model explainability, interpretability, and diagnostics&mdash;ability to systematically analyze and articulate why a model is or is not performing as expected.</p></li><li><p>
Experience with causal inference and experimentation frameworks, including designing and analyzing online experiments to measure incremental model impact.</p></li><li><p>
Familiarity with digital product domains such as personalization and recommendation engines, conversational/semantic search, fraud detection, or similar real-time, customer-facing ML applications.</p></li><li><p>
Eagerness to learn from experienced data scientists and a proactive attitude toward professional growth.</p></li><li><p>
Experience with NLP, LLM integration, or retrieval-augmented generation (RAG) pipelines for search or conversational AI applications is a plus</p></li></ul><p></p><p>
You&rsquo;ll love this Job If You</p><p>
&hellip;are a self-directed individual who operates with passion, urgency, focus, and discipline&hellip; put simply, you get stuff done.</p><p>
&hellip;have problem solving skills that are unparalleled&hellip;you are scrappy and resourceful</p><p>
&hellip;are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team!</p><p>
&hellip;are detailed-oriented with a passion for data-driven decision-making balanced by a deep appreciation of uncertainty and the inherent limitations of data analysis</p><p>
&hellip;are someone who appreciates diversity in all its forms</p><p>
&hellip;are someone who appreciates a company that values and encourages work-life balance</p><p></p><p>
#LI-EB1</p><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>
$121,500.00 - $188,500.00 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_16.pdf</div><p></p>

Data Scientist - Digital Data Science - Hybrid - Seattle, WA

Unify Consulting

<div><div><div>At <b>Unify</b>, we help organizations turn AI ambition into real-world impact. As an AI-focused management consulting firm, we partner with leading enterprises to design, build, and scale intelligent systems that transform how work gets done. From strategy through execution, our teams operate at the intersection of advanced machine learning, cloud-native architecture, and business outcomes&mdash;bringing Generative AI out of experimentation and into production.</div><br>
<div></div>
<div></div>
<div><b>Location Requirement</b><br>
This is a <b>full-time, 5-day onsite role based in Seattle, WA</b>. Candidates must currently live in the Seattle area or be willing to go onsite for interview and be able to relocate prior to start. Remote or hybrid arrangements are not available for this position.</div>
</div><h3 class="jobSectionHeader"><b>The Role</b></h3><p>
Unify is seeking an experienced <b>Data Scientist / Applied Scientist</b> to help design and deliver cutting-edge, production-grade AI solutions for our clients. This role is ideal for someone who thrives in complex problem spaces and enjoys translating advanced machine learning techniques into scalable, business-ready applications. <b>This position requires a full-time, 5-day onsite presence in Seattle</b>, enabling close collaboration with client stakeholders and cross-functional delivery teams.</p>
<p>
You will work hands-on with <b>Large Language Models (LLMs)</b> and modern NLP techniques, leveraging <b>AWS services such as Amazon Bedrock</b> to build intelligent systems that enhance customer experience and unlock new value. The work spans model development, system design, and active participation in client-facing engagements&mdash;ensuring solutions are not only technically robust, but also practical, trusted, and impactful in real-world environments.</p><div><br>
</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li><div>Design, develop, and deploy advanced machine learning and deep learning models to solve complex business problems</div>
</li><li><div>Build and optimize large-scale <b>NLP and Generative AI solutions</b>, including applications leveraging <b>LLMs</b></div>
</li><li><div>Develop scalable data pipelines and AI architectures to support production-grade deployments</div>
</li><li><div>Implement and support <b>Retrieval-Augmented Generation (RAG)</b> patterns to improve accuracy, relevance, and grounding of model outputs</div>
</li><li><div>Collaborate closely with consulting, engineering, and client teams to support data-driven decision-making</div>
</li><li><div>Contribute to best practices across model development, deployment, and MLOps</div>
</li></ul><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul>
<li>Master&rsquo;s degree in Computer Science, Machine Learning, or a related field</li>
<li>5+ years of experience in applied machine learning and deep learning</li>
<li>Strong proficiency in <b>Python</b> and modern ML frameworks</li>
<li>Extensive hands-on experience with <b>Large Language Models and transformer-based architectures</b></li>
<li>Demonstrated experience deploying ML models into production environments</li>
<li>Strong experience with <b>AWS</b>, including <b>Amazon Bedrock</b>, SageMaker, Lambda, ECS, and S3</li>
<li>Familiarity with <b>MLOps practices</b>, tooling, and model lifecycle management</li>
<li>Hands-on experience designing and implementing <b>RAG architectures</b></li>
</ul>
<p><b>Preferred Experience:</b></p>
<ul>
<li>Knowledge of vector databases and semantic search</li>
<li>Experience with prompt engineering and model fine-tuning</li>
<li>Familiarity with containerization and microservices architectures</li>
<li>Ability to clearly communicate technical concepts to non-technical stakeholders</li>
</ul><h3 class="jobSectionHeader"><b>Please Note</b></h3><div>
<ul><li><b>We are unable to sponsor or transfer visas for this position</b>. You must be authorized to work in the United States for any employer without requiring sponsorship or visa transfer now or in the future.</li>
<li>You must currently live in the Greater Seattle area, and be willing to go onsite 5 days/week</li>
<li><b>Please no resumes from third-party agencies or recruiters</b></li></ul></div></div><div></div>

Data Scientist/Applied Scientist - Onsite in Seattle

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

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><ul><li>5+ years of building models for business application experience</li>
<li>PhD, or Master's degree and 6+ years of CS, CE, ML or related field experience</li>
<li>Experience programming in Java, C++, Python or related language</li>
<li>Practical experience with LLM pre-training or post-training, and experience working with organic, synthetic, agentic, or reasoning data for LLMs</li>
<li>Published research in top conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and/or demonstrated significant industry influence in the field of AI</li>
<li>Experience using Unix/Linux</li>
<li>Experience in professional software development</li>
<li>Experience working on SOTA LLMs.</li>
<li>Multiple first-author LLM-related publications in top-tier conferences (e.g., NeurIPS, ICLR, ACL, EMNLP, NAACL)</li>
</ul></div><div>Preferred qualifications:
</div><div><div><ul><li>5+ years of experience building and deploying machine learning models or developing algorithms for business applications.</li>
<li>A strong track record of publications at top-tier, peer-reviewed conferences or journals (e.g., NeurIPS, ICML, ACL, KDD, CVPR).</li>
<li>Proven ability to transition research to production-grade, scalable systems.</li>
<li>Experience with Generative AI tools, Large Language Models (LLMs), Transformers, Reinforcement Learning, or advanced Computer Vision/NLP techniques.</li>
<li>Expertise in Python, Java, or C++, as well as experience with distributed machine learning frameworks (e.g., Spark, Hadoop</li>
</ul></div></div><div><div><b>TCS Employee Benefits Summary:</b>
</div><div><ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
<li>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</li>
</ul></div><div>#LI-RJ2
</div><div>Salary Range-$120,000-$150,000 a year
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>401448</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$150,000 a year</div></div></div></div><div></div>

Applied scientist

Twitch

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 <br/>
 <br/>
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Join Twitch's Commerce Engineering organization, where we're revolutionizing how viewers engage with their favorite creators. We are the teams behind Subscriptions, Gifting, Bits, Hype Train and Turbo products. From experimental features to established systems used by millions, we're constantly pushing the boundaries of what's possible in live streaming.
 <br/>
 <br/>
 This position and team are based in Seattle, WA and San Francisco, CA
 <br/>
 <br/>
 <strong>
  You Will:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Craft immersive, interactive experiences that keep viewers supporting creators while engaging with the Twitch Community.
  </li>
  <li>
   Architect and build robust, scalable applications that can handle millions of concurrent users
  </li>
  <li>
   Collaborate across teams to create cohesive solutions that drive business impact
  </li>
  <li>
   Transform customer feedback into innovative features that enhance the Twitch experience
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Have:
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   0-2 years of professional software development experience
  </li>
  <li>
   Excellent verbal and written communication skills; Ability to effectively collaborate with teammates is critical to success.
  </li>
  <li>
   A track record of building consumer-facing products that users love
  </li>
  <li>
   Demonstrable experience of modern programming languages and frameworks
  </li>
  <li>
   Sharp problem-solving skills with a focus on algorithms, data structures, and schema design
  </li>
  <li>
   Bachelor's degree in Computer Science or equivalent real-world experience
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with mobile development, either native or hybrid
  </li>
  <li>
   Familiarity with AWS infrastructure
  </li>
  <li>
   Experience with email / notifications technologies
  </li>
  <li>
   Experience writing Go in production systems
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical, Dental, Vision &amp; Disability Insurance
  </li>
  <li>
   401(k)
  </li>
  <li>
   Maternity &amp; Parental Leave
  </li>
  <li>
   Flexible PTO
  </li>
  <li>
   Amazon Employee Discount
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
  <br/>
  <br/>
 </em>
 Job ID: TW9041
 <br/>
 <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.
 <br/>
 <br/>
 US, WA, Seattle - Annually
 <br/>
 <br/>
 $110,500&mdash;$160,000 USD
 <br/>
 <br/>
 US, CA, San Francisco - Annually
 <br/>
 <br/>
 $127,100&mdash;$185,000 USD
 <br/>
 <br/>
 <em>
  Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  <br/>
  <br/>
 </em>
 <em>
  Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 </em>
</div>


Software Engineer I

Opendoor

<div>
 <strong>
  Data Scientist, Pricing
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   Location: In office 4 days a week
  </strong>
  ; Seattle WA.
  <br/>
  <br/>
 </em>
 Opendoor is transforming one of the largest, most complex markets in the world &mdash; residential real estate &mdash; using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company&rsquo;s financial performance.
 <br/>
 <br/>
 We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You&rsquo;ll operate at the intersection of economics, machine learning, experimentation, and product strategy &mdash; tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory &mdash; and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain pricing metrics, dashboards, and frameworks.
  </li>
  <li>
   Run experiments and causal analyses to measure impact and drive decisions.
  </li>
  <li>
   Develop predictive + statistical models that improve pricing accuracy.
  </li>
  <li>
   Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
  </li>
  <li>
   Deliver insights and narratives that inform executive strategy.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Qualifications
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
  </li>
  <li>
   Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
  </li>
  <li>
   Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
  </li>
  <li>
   Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
  </li>
  <li>
   Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
  </li>
  <li>
   High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
  </li>
  <li>
   Effective communicator &mdash; able to tell the story behind the model to both highly technical and non-technical audiences.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Base salary range for this role varies. Generally, the base salary range is $143,200 &ndash; $213,000 annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
  <br/>
  <br/>
 </em>
 #
 <br/>
 <br/>
 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We&rsquo;ve built an end-to-end online experience that has already helped thousands of people and we&rsquo;re just getting started.
 <br/>
 <br/>
</div>


Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Transform digital memories into strategic financial insights at Amazon Photos! As our Senior Financial Analyst, you'll be the financial architect behind a service that helps millions preserve their most cherished moments. You'll dive deep into complex financial models, uncover innovative growth strategies, and provide critical insights that shape the future of our digital memory preservation platform.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead comprehensive financial analysis across sales, marketing, and customer engagement initiatives</li><li>Develop sophisticated financial models that illuminate growth opportunities and strategic investments</li><li>Create detailed reports and presentations that translate complex financial data into clear, actionable insights</li><li>Support strategic planning processes, including annual operating plans and multi-year strategic forecasts</li><li>Collaborate with business partners to facilitate data-driven decision-making in dynamic environments</li></ul><br>
A day in the life<br>
Your day will be a dynamic blend of strategic analysis and collaborative problem-solving. You'll work closely with cross-functional teams, translating complex financial data into compelling narratives that drive business decisions. From exploring new monetization opportunities to analyzing customer behavior trends, every day brings a unique challenge that allows you to leverage your analytical skills and creative thinking.<br>
<br>
About the team<br>
We are a passionate group of financial professionals dedicated to supporting Amazon Photos' mission of helping customers preserve and relive their memories. Our team thrives on innovation, collaboration, and the opportunity to make a meaningful impact on a global digital service. We value diverse perspectives and are committed to developing talent that can navigate complex, evolving business landscapes.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)</li><li>3+ years of tax, finance or a related analytical field experience</li><li>Experience in financial modeling, P&amp;L management or analysis</li><li>Experience applying key financial performance indicators (KPIs) to analyses</li><li>Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results, or experience in tax, finance or a related analytical field</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>MBA, or CPA</li><li>3+ years of building financial and operational reports/data sets that inform business decision-making 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>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 82,700.00 - 117,100.00 USD annually</div><p></p>

Senior Financial Analyst, Amazon Photos | Finance

Explore 316+ Data scientist digital data science hybrid seattle wa in Seattle this March. Find roles across top companies and apply now to boost your career.