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data engineer, product analytics Jobs in Seattle

data engineer, product analytics

analytics lead

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. 
 
In this role, you will lead the analytics and insights efforts for the flagship marketing attribution project for Amazon Music. You will set the analytics roadmap for the project and work closely with marketing stakeholders and partners to deliver self-service solutions, insights, learning whitepapers and models to advance our analytics and science offerings. You will also be part of a full stack team of business intelligence engineers, data engineers, and scientists whom you will be able to collaborate with and learn from. The ideal candidate must effectively lead analytics solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment. 
 
Key job responsibilities 
<ul><li>Lead analytics and insights efforts for the marketing attribution project for Amazon Music.</li><li>Work as the internal lead analytics consultant for marketing teams and collaborate on long-term strategy together.</li><li>Define and deliver reporting and visualization that supports the analytical needs of internal business leaders.</li><li>Drive self-service solutions for senior business stakeholders informing marketing investment decisions.</li><li>Use analytical insights to help increase business and team effectiveness against key strategic goals.</li><li>Build a thorough understanding of the streaming music industry, the subscription business model, and key internal partners across Prime, Amazon devices, media and entertainment businesses.</li><li>Partner with analytics and science teams across Amazon entertainment and subscription businesses.</li><li>Evangelize analytics, insights, and measurement across internal teams by writing whitepapers, knowledge documentation and delivering learning sessions.</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience in Statistical Analysis packages such as R, SAS and Matlab</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
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. 
USA, CA, Culver City - 99,500.00 - 160,000.00 USD annually 
USA, CA, San Francisco - 114,500.00 - 185,000.00 USD annually 
USA, CA, Sunnyvale - 114,500.00 - 185,000.00 USD annually 
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer, Amazon Music DISCO

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. 
 
The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for a Data Scientist to join a team of Data Scientists, Analytics Leads, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. The team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, science models, self-service analytics, insights and dashboards, deliver engagement and retention at scale. In this role, you will pioneer and execute advanced analytics and experimentation efforts for the Amazon Music product team. You will work with stakeholders and partners to deliver experimentation insights, author scientific artifacts, build scalable models to advance our analytics and science products. The ideal candidate must be willing to effectively lead science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment. 
 
Key job responsibilities 
<ul><li>Data Scientist II on this role will be a thought partner to Product and Engineering organizations through their expertise in experimentation, statistical modeling and advanced analytics</li><li>Conceptualize and drive strategic growth areas: retention, voice + visual engagement, experimentation, Gen AI initiatives, and product excellence.</li><li>Bridge science, analytics, and engineering to deliver solutions informing strategic decisions on AM technology investments and long-term business performance</li><li>Drive experimentation, measurement efficiency tooling, and ROI tracking for AM leadership</li><li>Build and maintain causal models to understand customer sentiment and its impact on key engagement/retention metrics</li><li>Develop structural and predictive models using data science workflows to deliver measurable customer results</li></ul> 
A day in the life 
<ul><li>Lead strategic initiatives across visual and voice experiences, experimentation and customer retention stakeholders</li><li>Conduct experimentation, build causal models to better understand key drivers for customer retention
</li><li>Evaluate existing metrics and lead deep dives to ensure the right measurement framework is leveraged to measure and enhance user adoption through visual and voice interfaces</li><li>Partner with product managers to translate business questions into actionable science projects</li><li>Influence product roadmaps through data-driven insights on customer behavior patterns</li><li>Identify and resolve customer experience friction points with cross-functional teams</li><li>Drive adoption of best practices and innovative solutions across the organization</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree</li><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of machine learning concepts and their application to reasoning and problem-solving</li><li>Experience in Python, Perl, or another scripting language</li><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience applying quantitative analysis to solve business problems and making data-driven business decisions</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
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. 
USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist, Amazon Music - DISCO

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul> 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA; New York, NY, USA; Sunnyvale, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.</li>
<li>7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.</li>
<li>Experience deploying ML models into production environments.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 
</li>
<li>Experience with Machine Learning Operations (MLOps) tools and practices.</li>
<li>Understanding of business-to-business (B2B) enterprise SaaS business cycles, demand generation funnels, and marketing technology stacks.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

As a Staff Business Data Scientist, you will serve as a full-stack technical lead, owning the end-to-end life-cycle of data science products that drive Google Cloud&rsquo;s marketing and Go-to-market (GTM) strategy and measurement. You will move beyond traditional analysis to architect and build scalable intelligence systems.
In this role, you will bridge the gap between data engineering and data science. You will build the infrastructure required to ingest and process massive datasets, develop predictive models (e.g., lead scoring, propensity predictions), and engineer the Application Programming Interfaces (APIs) or serving layers that integrate these insights directly into our marketing measurement and tech stack. You will have a specific mandate to leverage Google&rsquo;s Generative AI capabilities and will utilize Large Language Models (LLMs) and Gemini models to engineer novel data science products that enhance our predictive capabilities. You will advocate for software engineering best practices within the data science team, ensuring our code is testable and maintainable. You will work with Marketing leadership to ensure the intelligence systems you build actively influence decision-making. You will also mentor data scientists on the team and advocate for statistical methodology and coding standards across the organization.
The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Lead the full Machine Learning (ML) life-cycle from data extraction and feature engineering to model training, validation, and deployment for critical marketing capabilities. Design and build ML models that solve ambiguous business problems and optimize the full customer life-cycle and demand funnel.</li>
<li>Design scalable data science applications using Google&rsquo;s LLM models to unlock insights from structured and unstructured data, build intelligent marketing agents, and automate decision-making processes within the Business-to-Business (B2B) funnel.</li>
<li>Define coding standards and engineering best practices for the team; mentor other data scientists on writing production-quality code and designing scalable architectures.</li>
<li>Partner with engineering and cross-functional data science teams to integrate model outputs directly into our martech systems, ensuring insights drive automated action.</li>
<li>Translate data science outputs into clear, actionable business recommendations for Director and Vice President level stakeholders.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Business Data Scientist, Google Cloud Marketing

Data Scientist, Analytics (Technical Leadership)

BuyWander

<div>Description:

Location: Seattle, WA (or Remote/Hybrid) Type: Full-Time | Leadership Compensation: Competitive Salary + Meaningful Equity<h3 class="jobSectionHeader"> 
ABOUT BUYWANDER</h3>
BuyWander is rebuilding the $850B retail returns industry&mdash;and turning it into something people actually love. We take chaotic, unstructured truckloads of returned goods and transform them into a fast, fun, treasure-hunt shopping experience powered by AI, real-time auctions, and local curbside pickup.
Think:<ul><li>
Entertainment meets eCommerce</li><li>
Treasure hunting meets Black Friday</li><li>
Physical supply chain meets Data Engineering</li></ul><h3 class="jobSectionHeader">
THE ROLE</h3>
We are hiring our first Head of Data &amp; AI.
You will not inherit clean systems, a mature data warehouse, or a team of analysts. You are coming in as a hands-on builder&mdash;a &quot;one-person army&quot; to start&mdash;tasked with building the entire data function from scratch. Once the foundation is laid and the high-leverage models are running, you will build and lead the team to scale it.
We are looking for a data &quot;mad scientist&quot; who is equal parts architect, quant, and business strategist. If you love taking messy, unstructured physical world data and turning it into marketplace liquidity, keep reading.<h3 class="jobSectionHeader"> 
WHAT YOU&rsquo;LL OWN (THE ROADMAP)</h3>
You will work directly with the CEO and CTO to execute on seven critical technical priorities:
1. The Core Data Platform (0 ? 1)<ul><li>
Design and build our modern data stack and pipelines from the ground up.</li><li>
Partner with Finance and Ops to standardize reporting and deliver a trusted, scalable data foundation across the company.</li></ul>
2. Auction Design &amp; Yield Optimization<ul><li>
This is the heartbeat of our business. You will use data and game theory to optimize our auction mechanics.</li><li>
Develop models and recommendations for starting bids, auction durations, bundling strategies, and dynamic pricing models to maximize yield and bid velocity.</li></ul>
3. User Demand &amp; Bidder Value (Product Analytics)<ul><li>
Analyze user behavior across the full journey (browse ? bid ? win ? pickup).</li><li>
Model Customer Lifetime Value (LTV), define &quot;Bidder Value,&quot; and identify exact friction points in the marketplace to drive retention.</li></ul>
4. Supply-Side Intelligence: Manifest Analysis<ul><li>
Build models that ingest messy, unstructured vendor manifests (CSVs, PDFs) to estimate yield and unit economics of a truckload and inform purchasing decisions.</li></ul>
5. Operations: Processing Analysis<ul><li>
Measure and optimize the physics of our warehouse. Track ingestion times, grading accuracy, and labor efficiency to ensure our cost-to-process remains the lowest in the industry.</li></ul>
6. Personalization &amp; Discovery Algorithms<ul><li>
Build the recommendation engines that power our &quot;For You&quot; feeds. Match the right weird, unique, or high-value item to the exact right bidder at the right time to drive auction intensity.</li></ul>
7. Applied GenAI &amp; AI Strategy<ul><li>
Act as the internal vanguard for AI adoption. You will monitor rapidly evolving AI trends, test new models, and drive the organization&rsquo;s AI strategy to ensure we maintain our technological edge.</li><li>
Hands-on execution: Design and deploy applied AI microservices, starting with initiatives like an autonomous LLM agent for personalized email outreach and lifecycle re-engagement.</li></ul>
Commercial Acumen: You understand that a beautiful model is useless if it doesn't increase margin or conversion. You think like a business owner.
Benefits<ul><li>
Competitive Salary and Performance-based Bonuses
</li><li>Meaningful equity in a company attacking a massive market, for a brand that can become nationally recognized
</li><li>Health, Vision &amp; Dental Insurance
</li><li>Unlimited PTO
</li><li>Annual Company Offsites
</li><li>401K</li></ul>
Requirements:
<h3 class="jobSectionHeader">WHAT YOU BRING</h3><ul><li>
Experience: 7+ years in data science, analytics, or ML engineering roles, with a proven track record of stepping into 0 ? 1 environments.</li><li>
The Hacker Mentality: You are highly proficient in SQL, Python, and the modern data stack (e.g., dbt, Snowflake/BigQuery). You don't wait for tickets; you write scripts to figure it out.</li><li>
AI-Forward: You aren't just reading about LLMs; you are actively using commercial APIs (OpenAI, Anthropic) or open-source models to build internal workflows and agents.</li></ul>
BuyWander is an Equal Opportunity Employer. We make employment decisions based on qualifications, skills, merit, and business needs. We believe a range of skills, perspectives, and experiences strengthens our team and supports better outcomes for our employees and customers.</div>

VP of Data & AI

Boeing

<div>Seattle, Washington
Job ID JR2026507072 Category Data Science &amp; Analytics Role Type Onsite Post Date Apr. 27, 2026<div> 
</div><div>Job Description
At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing's Global Talent, Development and Employee Experience organization has an exciting opportunity for a Senior Research Data Scientist to join the Employee Listening, Organizational Research, and Talent Assessment Team in Seattle, WA. The person in this role will lead deep dive analysis of employee survey, assessment, and workforce data, uncover meaningful organizational insights, and translate complex findings into compelling executive level narratives. This role sits at the intersection of research, analytics, strategy, and storytelling, ideal for someone who thrives on turning data into action and influencing senior leaders with clarity and confidence. You will help set the long-term research roadmap, defining measurement frameworks and success metrics, and establish standards for scientific rigor, reproducibility, practical and responsible use of AI/ML.
In this role, you will analyze large and complex datasets from surveys, assessments, HR systems, and business sources to generate actionable insights that inform organizational strategy, talent decisions, and employee experience improvements. You will lead mixed methods research, apply advanced statistical and predictive analytics, and use both structured and unstructured data to identify business trends, drivers, risks, and opportunities.
You will partner with executive leaders, HR, talent, and business teams to frame research questions, synthesize findings, and shape decisions through high impact reporting and storytelling. The ideal candidate combines strong technical expertise with the ability to simplify complex information, influence stakeholders, and help leaders understand the &ldquo;so what&rdquo; behind the data.
Position Responsibilities:<ul><li>
Lead advanced analysis of organizational survey, assessment, and workforce data to identify trends, drivers, risks, and opportunities</li><li>
Design and execute research approaches to answer complex business and organizational questions using survey, assessment, interview, and workforce data</li><li>
Translate ambiguous data into decision-ready executive syntheses, including recommendations, options, trade-offs, risks, and implementation considerations</li><li>
Develop high-impact executive reports, presentations, and dashboards that tell a compelling data story</li><li>
Partner with leaders, HR, talent, and business teams to define research questions and inform strategy</li><li>
Synthesize multiple data sources, including surveys, assessments, open-ended feedback, internal business outcome metrics, and external benchmarks</li><li>
Apply advanced statistical analysis, machine learning, and predictive modeling to surface insights and forecast outcomes</li><li>
Advance NLP methods, including sentiment analysis, topic modeling, and entity recognition, to analyze unstructured text data</li><li>
Conduct qualitative analysis, including coding, thematic analysis, and content analysis, to derive insights from narrative data</li><li>
Ensure scientific rigor, validity, and reproducibility across all research and analytics through documented methods, version-controlled code, QA checks, and peer review</li><li>
Present findings to senior stakeholders with confidence, clarity, and influence</li><li>
Improve research methodologies, reporting standards, and storytelling approaches</li><li>
Provide technical leadership, guidance, and mentoring to cross-functional partners and teammates</li><li>
Identify and implement practical AI use cases that streamline workflows, automate repetitive tasks, improve analytical efficiency, and scale research output</li><li>
Partner with other scientists to build team capability through coaching, documentation, and examples of effective day-to-day AI use</li></ul>
Basic Qualifications (Required Skills/Experience):<ul><li>
Master&rsquo;s degree or higher in a quantitative field such as Data Science, Statistics, Economics, Operations Research, Machine Learning, Engineering, Industrial Organizational Psychology, Organizational Behavior, Psychometrics, Sociology, or a related discipline</li><li>
5+ years of experience in data science, quantitative research science, or data analytics</li><li>
5+ years of experience with the following data analytics methods Machine Learning, Simulation, Statistics, Data Mining, Regression, Survival Analysis, Time series models</li><li>
5+ years of experience in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics) and building Descriptive, Predictive and Prescriptive models</li><li>
5+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)</li><li>
Experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.)</li></ul>
Preferred Qualifications (Desired Skills/Experience):<ul><li>
10+ years of industry experience</li><li>
Experience with HR systems and employee data environments</li><li>
Experience applying AI to automate, accelerate, or optimize analytics, research, or reporting workflows</li><li>
Experience with employee engagement, culture, leadership, talent, or organizational effectiveness research</li><li>
Experience applying machine learning models from ideation through monitoring and maintenance</li><li>
Capability to present highly technical information to nontechnical audiences</li><li>
Capability to influence senior leaders on strategy, trade-offs, and policy decisions using evidence-based recommendations</li><li>
Experience applying leading AI techniques and libraries to solve complex business problems and deliver measurable results</li><li>
Strong visualization skills and experience creating compelling charts, dashboards, and executive summaries</li><li>
Experience teaching, mentoring, and developing others</li></ul>
Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay &amp; Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $255,000 - $345,000 

Applications for this position will be accepted until May. 19, 2026 

Export Control Requirements:
This is not an Export Control position.
Education
Master's Degree or Equivalent Required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift 

Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</div></div>
 <div><h2 class="jobSectionHeader">Your Benefits</h2>
No matter where you are in life, our benefits help prepare you for the present and the future.
<ul><li><div>Generous company match to your 401(k).</div></li>
<li><div>Industry-leading tuition assistance program pays your institution directly.</div></li>
<li><div>Fertility, adoption, and surrogacy benefits.</div></li>
<li><div>Up to $10,000 gift match when you support your favorite nonprofit organizations.</div></li></ul> 

These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.</div>

Senior Research Data Scientist

C-4 Analytics

<div>Automotive Digital Marketing Sales Executive: Seattle, WA &ndash; C-4 Analytics
C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market, and to providing the highest levels of accountability and customer service. We are currently hiring for an Automotive Digital Marketing Sales Executive: Seattle, WA as we look to expand our team and support our growing roster of local and national clients.
If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process.
Compensation:
We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $70,000.00 - $90,000.00 per year. The starting annual on-target earnings for this position is up to $200,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the commission structure for this position is uncapped, and provides unlimited earning potential.
In addition to the base salary, we provide a comprehensive benefits package that includes health insurance, retirement plans, paid time off, and professional development opportunities.
Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process.
Working at C-4 Analytics
We provide our employees with a range of benefits, including career development programs, paid time off, and additional perks. All are welcome to visit our careers and culture page for more details.
Who We're Looking For: Automotive Digital Marketing Sales Executive: Seattle, WA
The Automotive Digital Marketing Sales Executive will be charged with managing the sales process from the initial call to helping to close business with new prospects. You&rsquo;ll be a part of a consultative sales process that requires engagement with decision makers at Automotive dealerships. Our Automotive Digital Marketing Sales Executives often challenge our prospects with new ideas and ways in which our portfolio of analytics-driven digital marketing services will lead to growth and increased revenue. The ideal Automotive Digital Marketing Sales Executive will recognize that our offering is a service-oriented solution. Understanding how our services benefit our clients is crucial.
Forget restrictive territories. As an Automotive Digital Marketing Sales Executive, you&rsquo;ll partner directly with our Sales Enablement team to build a highly targeted and strategic prospect list. This data-driven approach means your focus will be on the highest-potential accounts, with the volume adjusted to reflect market opportunity and population density. You'll work with Sales Operations throughout your certification to continuously refine and optimize this list for maximum success.
A day in the life of an Automotive Digital Marketing Sales Executive: Seattle, WA<ul><li>
Drive outreach based on a curated list of dealer prospect targets, developed with Sales Operations to maximize impact</li><li>
Prospect via cold calls and emails</li><li>
Maintain high daily activity: calls, presentations, proposals, and follow-ups</li><li>
Research target accounts, identify key contacts, and develop account-specific strategies</li><li>
Deliver tailored virtual sales presentations</li><li>
Collaborate with internal teams in a dynamic, fast-paced environment</li><li>
Manage the full sales cycle from outreach to close</li><li>
Track all sales activity in HubSpot</li><li>
Focus on closing new business</li><li>
This is a remote position. You may have the opportunity to develop business outside of your immediate geographic area.</li></ul>
Requirements:
MUST HAVES<ul><li>
5+ years of demonstrated Sales success: demonstrated ability to prospect, lead discovery efforts and win business.</li><li>
Ability to demonstrate value: C-4 Analytics is not a product. Our emphasis is on individuals who recognize that our offering is a service-oriented solution. Understanding how our services benefit our clients is crucial.</li><li>
Experience working in the automotive industry&mdash;particularly within a dealership&mdash;is a strong plus. You don&rsquo;t need to have sold into automotive, but if you&rsquo;ve sold within a dealership environment, understand how they operate, and can identify key decision-makers, you&rsquo;ll be set up for success in this role</li><li>
Must have experience prospecting through cold calls and emails in a high-volume sales environment, with a proven ability to maintain consistent daily outreach activity&mdash;including calls, presentations, proposals, and timely follow-ups.</li><li>
Must possess a valid driver's license in good standing and have access to a motor vehicle.</li><li>
Required to travel as needed.</li><li>
3+ years of CRM experience - ability to keep a highly organized, and detailed sales pipeline</li><li>
Ability to communicate and collaborate as part of a team</li></ul>
NICE TO HAVES<ul><li>
Bachelor&rsquo;s Degree or any equivalent combination of education, training, and experience that provides the required knowledge, skills, and abilities to perform the essential functions of the job.</li><li>
Google Analytics certification</li><li>
3+ years experience selling Digital Marketing or related services or products</li><li>
3+ years experience selling into Automotive Industry</li><li>
3+ years of HubSpot CRM experience</li></ul>
More About C-4 Analytics
C-4 Analytics takes the guesswork out of advertising. We don&rsquo;t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate and instigate. We are forward-thinking, but we learn from the past. We are results-driven and our strategies drive results. We love the practical applications of psychology to marketing, but we aren&rsquo;t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics.
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Automotive Digital Marketing Sales Executive (REMOTE)

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