aiml - machine learning engineer, data and ml innovation

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

content creator, owned & social channels , operations internal communications

merchandising/sales representative, seattle

machine learning engineer Jobs in Seattle

machine learning engineer

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

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

aiml - sr data engineer, evaluation Jobs in Seattle

aiml - sr data engineer, evaluation

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

data scientist analytics technical leadership

Data Scientist, Analytics (Technical Leadership)

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
 <ul>
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 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
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 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
 </li>
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 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
 </li>
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 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
 </li>
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 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
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 A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
 </li>
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 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
 </li>
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 Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
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 Master's or Ph.D. Degree in a quantitative field
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $177,000/year to $247,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Data Scientist, Product Analytics

Apple

Join Apple Maps, where our mission is to build the best map in the world. As a Senior Data Scientist in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you&rsquo;ll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful. 
 
Description 
 
We are seeking a highly talented and seasoned Data Scientist to join our cross-functional team, dedicated to proactively identifying opportunities and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, acting as a strategic thought leader to leverage data and inform product direction. This role offers unparalleled scope to architect, define, and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive, cutting-edge insights platform. Your day-to-day responsibilities will span the full data lifecycle, from proactive exploratory data analysis and metrics design to leading deep dives and crafting and presenting executive-level strategic reports.&quot;,&quot;responsibilities&quot;:&quot;Lead the design, creation, and validation of novel metrics for user engagement, retention, and growth. 
 
Drive the development and implementation of sophisticated data products (e.g., user segmentation models, churn propensity scores, growth forecasting tools). 
 
Proactively lead deep-dive analyses to uncover insights into user behavior and inform critical business decisions. 
 
Engage with and influence partners and executive leadership to shape product strategy and roadmap with compelling, data-driven recommendations. 
 
Architect solutions to highly ambiguous product goals and complex business problems, transforming them into well-defined and solvable data science challenges. 
 
Drive the development, adoption, and best practices for advanced tools and automated data pipelines (primarily using Python and SQL-based ETL frameworks) to ensure efficiency and scalability. 
 
Mentor and guide junior data scientists, fostering their technical and analytical growth. 
 
Champion new ideas and analytical approaches, pushing the team towards innovative solutions and methodologies. 
 
Preferred Qualifications 
 
Deep expertise in user engagement analytics, retention strategies, and/or growth modeling. 
 
Extensive experience with large data sets using technologies like Hadoop and Spark. 
 
Demonstrated experience in architecting and implementing automated analytics tasks and data pipelines at scale. 
 
Proven track record of leading complex projects within highly cross-functional teams, driving consensus and delivering results. 
 
Experience mentoring junior team members and contributing to a data science community. 
 
Experience contributing to product strategy and roadmap definition. 
 
Minimum Qualifications 
 
MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain. 
 
5+ years of industry experience with data analysis at web scale or relevant work experience, demonstrating increasing levels of responsibility and impact. 
 
Expert proficiency in Python for data manipulation, analysis, and modeling. 
 
Expert proficiency in at least one database language (e.g., SQL, Snowflake) for complex data extraction and transformation. 
 
Proven ability to translate highly ambiguous business questions and strategic needs into robust technical requirements and analytical solutions. 
 
Deep understanding and practical application of advanced statistical techniques and modeling, including predictive modeling and causal inference. 
 
Exceptional communication and presentation skills, with a track record of influencing product and executive leadership. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $163,300 and $290,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Data Scientist - Maps Eval

Uber

<div>
 
 About The Role
 
 
 
 The TA Analytics team's goal is to raise the bar for all of Talent Acquisition when it comes to data literacy. A successful candidate is a proactive thinker, flexible with shifting project priorities and pressure. You demonstrate confidence in handling problems, as well as the ability to work with a variety of different people. As a seasoned Data Scientist, you will utilize a variety of tools and approaches to answer complex questions from myriad stakeholders.
 
 
 You will also innovate new ways to analyze our data for more efficient and effective decision-making. You are a highly motivated and energetic self-starter, directly working with leaders to ensure that they are getting all the support needed to make meaningful, informed decisions (which may not be what they are asking for, but what they need). You will proactively identify new areas of analytical features and enhancements, including AI, that will further increase data quality, reliability, and insightfulness.
 
 
 ---- What You Will Do ----
 
 
 <ul>
 <li>
 Help build a new analytics suite that helps prove and increase the impact that TA has on the business.
 </li>
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 Innovate new ways to analyze TA/People data that drives incremental business impact.
 </li>
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 Understand business goals and apply appropriate analytics, causal inference, experimentation and machine learning to provide practical insights to partners and stakeholders.
 </li>
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 Work closely with the Engineering teams to create data instrumentation and improve data quality.
 </li>
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 Collaborate with cross-functional organizations to find opportunities, design, implement and analyze experiments, and perform deep dives for better decision-making.
 </li>
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 Communicate optimally with non-technical customers on technical topics.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
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 Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
 </li>
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 4+ years experience as a Data Scientist, Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions
 </li>
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 Excellent understanding of statistical and scientific principles
 </li>
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 Advanced SQL expertise
 </li>
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 Experience with either Python or R for data analysis
 </li>
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 Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways.
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 Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Looker, or similar)
 </li>
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 Proven aptitude toward Data Storytelling and Root Cause Analysis using data
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 Ability to learn and adapt to new methodologies for data collection and analysis
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Advanced experience with experimental design and statistical methods such as causal Inference.
 </li>
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 Experience in utilizing AI features in reporting to enhance reporting products and deliverables.
 </li>
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 Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
 </li>
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 Excellent judgment, critical thinking, and decision-making skills
 </li>
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 Proven ability to identify key stakeholders and manage high expectations
 
 
 </li>
 </ul>
 For New York, NY-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For New York, NY-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
</div>

Data Scientist II

At Apple, we believe that technology should enrich people's lives in meaningful ways. Apple Services-including the App Store, Apple Music, Apple TV+, and Podcasts-connect millions of users worldwide to the content and experiences they love. Behind these services are sophisticated AI and machine learning systems that power personalized recommendations, intelligent search, and content discovery. The quality of these experiences depends fundamentally on the integrity of the data that fuels them. 
 
Join the Human-centered AI (HAI) organization within Apple Services Engineering as a Senior Applied Scientist on our Data Quality Operations team. This is your opportunity to shape the future of data quality at Apple, working at the intersection of cutting-edge machine learning, large language models, and rigorous scientific methodology. You'll be at the forefront of designing and implementing novel, scalable quality control solutions which ensure our AI-powered services meet Apple's exacting standards for a high-quality user experience. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day. 
 
Description 
 
We are seeking a Senior Applied Scientist to lead the design and implementation of novel, scalable quality control solutions for Apple Services. In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control. You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. 
 
&quot;,&quot;responsibilities&quot;:&quot;Develop methodologies and systems to programatically generating gold standard datasets to measure and improve data quality across diverse content types. 
 
Build and validate LLM-based grading systems that align with human judgment for tasks including content classification, quality assessment, and metadata validation. 
 
Create and deploy anomaly detection systems to proactively identify data inconsistencies, biases, and errors across production pipelines. 
 
Collaborate with AI/ML engineering, product, and data science teams to identify quality challenges and integrate solutions into production workflows. 
 
Stay abreast of the latest advancements in machine learning, AI, data quality, and LLM research, applying relevant techniques to enhance our capabilities. 
 
Mentor and guide junior team members, fostering technical excellence and innovation in data quality operations. 
 
Communicate findings and recommendations clearly to technical and non-technical stakeholders, including senior leadership. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, 
 
Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems. 
 
Familiarity with prompt optimization frameworks or automated prompt engineering. 
 
Experience in natural language processing (NLP) or natural language understanding (NLU). 
 
Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production. 
 
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems. 
 
Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals. 
 
Minimum Qualifications 
 
3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas. 
 
Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments. 
 
Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification. 
 
Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop). 
 
MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant industry experience. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr Applied Scientist, AI/ML Evaluation Quality, Apple Services Engineering

Nordstrom

<div>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!
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.
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.
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!
A day in the life...<ul><li>
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.</li><li>
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.</li><li>
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.</li><li>
Support senior data scientists on model deployment, contributing to prototyping, training, testing, and monitoring, while learning production serving best practices.</li><li>
Work within and across teams to develop and deploy data products and data-driven software, driving collaboration and adoption on major data-science initiatives.</li><li>
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.</li><li>
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.</li><li>
Actively learn from senior data scientists and analysts, growing in both technical skills and business acumen while contributing fresh perspectives to the team.</li></ul>
Minimum qualifications include&hellip;<ul><li>
1&ndash;3 years of hands-on professional experience in Data Science, Analytics, or a related quantitative field (including internships or research positions).</li><li>
1+ years of working experience with Python or R, including data manipulation, analysis, and visualization.</li><li>
Experience working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and document sharing).</li><li>
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.).</li><li>
1+ years of working experience extracting and manipulating data using SQL; exposure to big-data tools such as Hive or Spark is a plus.</li><li>
Exposure to ML model deployment workflows and A/B testing concepts; eagerness to learn production ML practices.</li><li>
Passion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation.</li><li>
Ability to communicate analytical findings clearly to technical and non-technical audiences.</li></ul>
Our ideal candidate has&hellip;<ul><li>
Experience contributing to data science projects in a team setting (academic, internship, or professional).</li><li>
Experience developing packages in Python along with clear documentation.</li><li>
Exposure to ML model serving or deployment tools (e.g., SageMaker, AzureML, Docker, Flask) through coursework, personal projects, or internships.</li><li>
Experience developing and deploying automated data pipelines using cloud services (e.g. AWS/GCP).</li><li>
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.</li><li>
Experience with causal inference and experimentation frameworks, including designing and analyzing online experiments to measure incremental model impact.</li><li>
Familiarity with digital product domains such as personalization and recommendation engines, conversational/semantic search, fraud detection, or similar real-time, customer-facing ML applications.</li><li>
Eagerness to learn from experienced data scientists and a proactive attitude toward professional growth.</li><li>
Experience with NLP, LLM integration, or retrieval-augmented generation (RAG) pipelines for search or conversational AI applications is a plus</li></ul>
You&rsquo;ll love this Job If You
&hellip;are a self-directed individual who operates with passion, urgency, focus, and discipline&hellip; put simply, you get stuff done.
&hellip;have problem solving skills that are unparalleled&hellip;you are scrappy and resourceful
&hellip;are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team!
&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
&hellip;are someone who appreciates diversity in all its forms
&hellip;are someone who appreciates a company that values and encourages work-life balance
#LI-EB1
We&rsquo;ve got you covered&hellip;
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:<ul><li>
Medical/Vision, Dental, Retirement and Paid Time Away</li><li>
Life Insurance and Disability</li><li>
Merchandise Discount and EAP Resources</li></ul>
A few more important points...
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.
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.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
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.
&copy; 2022 Nordstrom, Inc
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
Nordstrom keeps job postings open for at least one day after the posting date.
Pay Range Details
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. 
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
$121,500.00 - $188,500.00 Annual
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>

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

Unify Consulting

<div><div><div>At Unify, 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> 
<div></div>
<div></div>
<div>Location Requirement 
This is a full-time, 5-day onsite role based in Seattle, WA. 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">The Role</h3>
Unify is seeking an experienced Data Scientist / Applied Scientist 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. This position requires a full-time, 5-day onsite presence in Seattle, enabling close collaboration with client stakeholders and cross-functional delivery teams.

You will work hands-on with Large Language Models (LLMs) and modern NLP techniques, leveraging AWS services such as Amazon Bedrock 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.<div> 
</div><h3 class="jobSectionHeader">
Key Responsibilities</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 NLP and Generative AI solutions, including applications leveraging LLMs</div>
</li><li><div>Develop scalable data pipelines and AI architectures to support production-grade deployments</div>
</li><li><div>Implement and support Retrieval-Augmented Generation (RAG) 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">Requirements</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 Python and modern ML frameworks</li>
<li>Extensive hands-on experience with Large Language Models and transformer-based architectures</li>
<li>Demonstrated experience deploying ML models into production environments</li>
<li>Strong experience with AWS, including Amazon Bedrock, SageMaker, Lambda, ECS, and S3</li>
<li>Familiarity with MLOps practices, tooling, and model lifecycle management</li>
<li>Hands-on experience designing and implementing RAG architectures</li>
</ul>
Preferred Experience:
<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">Please Note</h3><div>
<ul><li>We are unable to sponsor or transfer visas for this position. 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>Please no resumes from third-party agencies or recruiters</li></ul></div></div><div></div>

Data Scientist/Applied Scientist - Onsite in Seattle

Explore 288+ Data scientist analytics technical leadership in Seattle this March. Find roles across top companies and apply now to boost your career.