<div><p><span style="font-weight:400;">Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.</span></p><p><span style="font-weight:400;">Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.</span></p></div><div><div>We are seeking a <strong>Senior Staff Data Scientist</strong> to join our Product Integrity organization, which spans Manufacturing Quality, Supplier Quality, Product Quality, Flight Test, and FAA Type Certification. This is a high-impact individual contributor role that combines advanced analytics, data pipeline engineering, and structured problem-solving to strengthen product quality, regulatory compliance, and reliability.<br>The ideal candidate can both <strong>build systems that surface insights</strong> and <strong>lead root cause investigations</strong> that drive corrective action and long-term improvement in hardware manufacturing environments. You’ll partner with Quality Engineers, Flight Test leads, Certification teams, and Operational leaders to solve some of the most important technical and regulatory challenges facing the business.<br>Core Requirements</div><ol><li><strong>Data Visualization &amp; Pipelines</strong> – Proven ability to design and maintain dashboards, quality metrics, trend analysis, and scalable data pipelines.</li><li><strong>Root Cause / Corrective Action Leadership</strong> – Hands-on experience leading structured problem-solving efforts (8D preferred), with the ability to guide cross-functional teams through containment, analysis, and corrective actions.</li><li><strong>Domain Expertise</strong> – Experience in <strong>Quality, Hardware Manufacturing, and/or Hardware Quality</strong>, ideally in industries such as aerospace, automotive, or batteries.</li></ol><div>Key Responsibilities</div><ul><li>Build and maintain dashboards and pipelines that deliver trusted quality metrics, defect trends, and product reliability insights.</li><li>Lead 8D root cause investigations, ensuring thorough analysis, effective containment, and sustainable corrective actions.</li><li>Apply statistical analysis and modeling to detect risks, identify systemic issues, and improve manufacturing outcomes.</li><li>Standardize metrics, classification systems, and lessons-learned repositories to strengthen continuous improvement.</li><li>Communicate findings clearly and influence decisions across engineering, operations, and executive teams.</li><li>Mentor peers and junior engineers in data analysis, visualization, and structured problem-solving methodologies.</li><li>Drive measurable impact on outcomes such as defect reduction, cycle-time improvement, and regulatory compliance.</li></ul><div>Qualifications</div><ul><li>Bachelor’s or Master’s degree in Data Science, Engineering, Statistics, or a related technical field (MS/PhD a plus).</li><li>7–10+ years of experience in data science, analytics, or applied statistics, with a strong record of delivering measurable business impact.</li><li>Deep expertise in SQL-based environments (Snowflake preferred) and Python for data analysis, pipeline development, and model implementation.</li><li>Extensive experience developing data visualizations (Looker, Tableau, Sigma, Power BI, or equivalent).</li><li>Strong background in statistical analysis, data modeling, and ETL pipeline development.</li><li>Familiarity with structured problem-solving methodologies (8D, FTA, Kepner-Tregoe, Shainin, or equivalent).</li><li>Direct experience with quality systems, ISO/IAQG standards, or hardware manufacturing environments.</li><li>Demonstrated ability to communicate insights clearly and influence decisions across technical and executive teams.</li><li>Success working in cross-functional teams and driving change in complex organizations.</li></ul><div>Preferred Qualifications</div><ul><li>Prior experience in aerospace, manufacturing, quality, or regulated environments.</li><li>Familiarity with FAA certification processes, flight test data, reliability analysis techniques (e.g., Weibull modeling, survival analysis, telemetry interpretation).</li><li>Experience building dashboards or tools for quality monitoring and risk detection.</li><li>Knowledge of MLOps practices or productionizing models in operational settings.</li><li>Exposure to lifecycle systems such as MES, QMS, PLM, or ERP.</li></ul><div>Compensation &amp; Culture<br>At Archer, we aim to attract, retain, and motivate talent that possesses the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward contributions that support the Company’s business strategy.<br>For this position we are targeting a base pay between <strong>$153,600 - $192,000</strong>. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.</div><div> </div>Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at <a href="mailto:people@archer.com">people@archer.com</a>. Reasonable accommodations will be determined on a case-by-case basis.</div><p> </p><div><hr><span style="font-weight:400;">Information collected and processed as part of any job applications you choose to submit is subject to Archer's <a href="https://archer.com/legal/personnel-candidate-privacy-policy">Candidate Privacy Policy</a>.</span><span style="font-weight:400;">Archer is unable to provide work visa sponsorship for this position at the present time.</span><span style="font-weight:400;">Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.</span><span style="font-weight:400;">Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to <a href="mailto:People@archer.com">People@archer.com</a>. All employment processes are managed by the Archer People Team.</span></div>

<p>Archer is designing and developing electric vertical takeoff and landing aircraft for use in urban air mobility networks. Archer&rsquo;s mission is to unlock the skies, freeing everyone to reimagine how they move and spend time. Archer's team is based in Santa Clara, CA. To learn more, visit www.archer.com.</p>

Senior Staff Data Science Product Integrity

<div><p><span>Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.</span></p><p><span>Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.</span></p></div><div><div>We are seeking a&nbsp;<strong>Senior Staff Data Scientist</strong>&nbsp;to join our Product Integrity organization, which spans Manufacturing Quality, Supplier Quality, Product Quality, Flight Test, and FAA Type Certification. This is a high-impact individual contributor role that combines advanced analytics, data pipeline engineering, and structured problem-solving to strengthen product quality, regulatory compliance, and reliability.<br>The ideal candidate can both&nbsp;<strong>build systems that surface insights</strong>&nbsp;and&nbsp;<strong>lead root cause investigations</strong>&nbsp;that drive corrective action and long-term improvement in hardware manufacturing environments. You’ll partner with Quality Engineers, Flight Test leads, Certification teams, and Operational leaders to solve some of the most important technical and regulatory challenges facing the business.<br>Core Requirements</div><ol><li><strong>Data Visualization &amp; Pipelines</strong>&nbsp;– Proven ability to design and maintain dashboards, quality metrics, trend analysis, and scalable data pipelines.</li><li><strong>Root Cause / Corrective Action Leadership</strong>&nbsp;– Hands-on experience leading structured problem-solving efforts (8D preferred), with the ability to guide cross-functional teams through containment, analysis, and corrective actions.</li><li><strong>Domain Expertise</strong>&nbsp;– Experience in&nbsp;<strong>Quality, Hardware Manufacturing, and/or Hardware Quality</strong>, ideally in industries such as aerospace, automotive, or batteries.</li></ol><div>Key Responsibilities</div><ul><li>Build and maintain dashboards and pipelines that deliver trusted quality metrics, defect trends, and product reliability insights.</li><li>Lead 8D root cause investigations, ensuring thorough analysis, effective containment, and sustainable corrective actions.</li><li>Apply statistical analysis and modeling to detect risks, identify systemic issues, and improve manufacturing outcomes.</li><li>Standardize metrics, classification systems, and lessons-learned repositories to strengthen continuous improvement.</li><li>Communicate findings clearly and influence decisions across engineering, operations, and executive teams.</li><li>Mentor peers and junior engineers in data analysis, visualization, and structured problem-solving methodologies.</li><li>Drive measurable impact on outcomes such as defect reduction, cycle-time improvement, and regulatory compliance.</li></ul><div>Qualifications</div><ul><li>Bachelor’s or Master’s degree in Data Science, Engineering, Statistics, or a related technical field (MS/PhD a plus).</li><li>7–10+ years of experience in data science, analytics, or applied statistics, with a strong record of delivering measurable business impact.</li><li>Deep expertise in SQL-based environments (Snowflake preferred) and Python for data analysis, pipeline development, and model implementation.</li><li>Extensive experience developing data visualizations (Looker, Tableau, Sigma, Power BI, or equivalent).</li><li>Strong background in statistical analysis, data modeling, and ETL pipeline development.</li><li>Familiarity with structured problem-solving methodologies (8D, FTA, Kepner-Tregoe, Shainin, or equivalent).</li><li>Direct experience with quality systems, ISO/IAQG standards, or hardware manufacturing environments.</li><li>Demonstrated ability to communicate insights clearly and influence decisions across technical and executive teams.</li><li>Success working in cross-functional teams and driving change in complex organizations.</li></ul><div>Preferred Qualifications</div><ul><li>Prior experience in aerospace, manufacturing, quality, or regulated environments.</li><li>Familiarity with FAA certification processes, flight test data, reliability analysis techniques (e.g., Weibull modeling, survival analysis, telemetry interpretation).</li><li>Experience building dashboards or tools for quality monitoring and risk detection.</li><li>Knowledge of MLOps practices or productionizing models in operational settings.</li><li>Exposure to lifecycle systems such as MES, QMS, PLM, or ERP.</li></ul><div>Compensation &amp; Culture<br>At Archer, we aim to attract, retain, and motivate talent that possesses the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward contributions that support the Company’s business strategy.<br>For this position we are targeting a base pay between&nbsp;<strong>$153,600 - $192,000</strong>. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.</div><div>&nbsp;</div>Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at <a href="mailto:people@archer.com">people@archer.com</a>. Reasonable accommodations will be determined on a case-by-case basis.</div><p>&nbsp;</p><div><hr><span>Information collected and processed as part of any job applications you choose to submit is subject to Archer's <a href="https://archer.com/legal/personnel-candidate-privacy-policy">Candidate Privacy Policy</a>.</span><span>Archer is unable to provide work visa sponsorship for this position at the present time.</span><span>Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.</span><span>Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to&nbsp;<a href="mailto:People@archer.com">People@archer.com</a>. All employment processes are managed by the Archer People Team.</span></div>

Senior Staff Data Science Product Integrity

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Archer

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