applied scientist

THRAD

<div><h3 class="jobSectionHeader"><b>The Role</b></h3><p>
We are looking for an Applied Scientist to own the models that decide which ad appears in which AI conversation, in real time, across millions of queries a day. Ad selection inside LLM chats is a genuinely new problem: no click history, no cookies, no page context. Just an evolving conversation and a few hundred milliseconds to make a decision that has to feel native to the user, relevant to the advertiser, and profitable for the publisher.</p><p>
This is a research role with a production mandate. Your models go live, not into a paper. You will work directly with our CTO and the founding engineering team on the systems powering millions of ads a day across Fortune 500 campaigns.</p><h3 class="jobSectionHeader"><b>
Core Tech Stack</b></h3><ul><li><p><b>
ML:</b> PyTorch, embedding-based retrieval, modern transformer architectures</p></li><li><p><b>
Backend:</b> Python (FastAPI), async serving, real-time inference</p></li><li><p><b>
Data:</b> PostgreSQL for transactional, ClickHouse for analytics and event data</p></li><li><p><b>
Infra:</b> AWS, Docker, CI/CD</p></li><li><p><b>
Plus:</b> whatever the problem demands. We pick tools that ship.</p></li></ul><h3 class="jobSectionHeader"><b>
Example Projects</b></h3><ul><li><p>
Design and train contextual ad relevance models for LLM conversations, from retrieval through ranking through creative selection.</p></li><li><p>
Build efficient algorithms for real-time bidding and auction mechanics, balancing publisher yield and advertiser ROAS.</p></li><li><p>
Productionize regression models to predict downstream conversion from early conversational signals.</p></li><li><p>
Apply privacy-preserving clustering methods to categorize conversational context and improve advertiser targeting without compromising user data.</p></li><li><p>
Run live experiments against real traffic on our publisher network. Iterate on CTR, ROAS, and conversation quality metrics.</p></li><li><p>
Own the evaluation framework for ad quality, relevance, and user experience across the marketplace.</p></li><li><p>
Read an ArXiv paper on Monday. Have a prototype running on Friday.</p></li></ul><h3 class="jobSectionHeader"><b>
What You Will Do</b></h3><ul><li><p>
Own the research and shipping of the models powering ad selection across Thrad's network.</p></li><li><p>
Move research to production end to end: hypothesis, training, evaluation, deployment, monitoring.</p></li><li><p>
Collaborate directly with the CTO and co-founders to translate research direction into working systems, often within the same day.</p></li><li><p>
Partner with the Data and Product teams to design and analyze live experiments on real traffic.</p></li><li><p>
Contribute to system architecture decisions as we scale from millions to billions of daily ad impressions.</p></li><li><p>
Communicate findings clearly to both technical and non-technical audiences across the team.</p></li></ul><h3 class="jobSectionHeader"><b>
Who You Are</b></h3><p><b>
Must-haves</b></p><ul><li><p>
2 to 5 years of applied ML experience, ideally in ads, search, recommendations, ranking, or NLP.</p></li><li><p>
An advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field &mdash; or equivalent experience shipping production ML.</p></li><li><p>
Strong fundamentals in mathematical and statistical modeling. You know why your model works, not just that it does.</p></li><li><p>
Fluent in PyTorch, modern transformer architectures, and embedding-based retrieval.</p></li><li><p>
Strong Python, comfort with distributed training and inference.</p></li><li><p>
You have shipped ML to production at scale. Not just notebooks.</p></li><li><p>
You enjoy identifying and owning hard, open-ended problems. You form testable hypotheses and run them to ground.</p></li><li><p>
Based in San Francisco or willing to relocate. This is an in-person role at our SF HQ.</p></li></ul><p><b>
Nice-to-haves</b></p><ul><li><p>
Experience with RLHF, preference modeling, or LLM fine-tuning.</p></li><li><p>
Background in auction theory, bidding systems, real-time pricing, or yield optimization.</p></li><li><p>
Prior work at an ad-tech, search, recommendations, or marketplace company.</p></li><li><p>
Published research at NeurIPS, ICML, ACL, KDD, RecSys, or equivalent.</p></li><li><p>
Familiarity with ClickHouse or other column-oriented OLAP databases for analytical workloads.</p></li><li><p>
A relentless interest in the AI and LLM ecosystem and how advertising will evolve inside conversational interfaces.</p></li></ul><h3 class="jobSectionHeader"><b>
Why Thrad</b></h3><ul><li><p><b>
First mover:</b> We are defining a new category. Paid ads in AI is an inevitable market and we are building the infrastructure for it.</p></li><li><p><b>
Real traction:</b> Fortune 500 clients, millions of daily impressions, and publisher partners across the AI web, all pre-seed.</p></li><li><p><b>
Research with teeth:</b> Your work ships. Your models run in production against real traffic with real revenue on the line.</p></li><li><p><b>
Direct impact:</b> Small founding team. Your decisions shape the models, the product, and the company.</p></li><li><p><b>
Ownership:</b> Meaningful equity in a company at the intersection of two massive markets: AI and ad tech.</p></li><li><p><b>
Craft:</b> A team that cares about shipping quality, not just quantity.</p></li></ul><h3 class="jobSectionHeader"><b>
How to Apply</b></h3><p>
Send your CV and a brief note on what excites you about building at the intersection of AI and advertising. If you have published work, a GitHub, or models you have shipped that you are proud of, include them. We read every application.</p></div>

Applied Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you driven by the challenge of solving complex problems that directly impact the safety and well-being of millions of Amazon Associates worldwide? Do you want to push the boundaries of AI to build innovative solutions that make workplaces safer and more efficient? If so, we invite you to join our WHS DataTech team as an Applied Scientist and take your career to the next level!<br>
At WHS DataTech, we leverage Large Language Models (LLMs), Computer Vision, and AI-driven innovations to develop industry-leading solutions that proactively enhance workplace safety. Our work spans real-time risk assessment, predictive analytics, and AI-powered insights, all aimed at creating a safer work environment at scale.<br>
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As an Applied Scientist specializing in LLMs and Computer Vision, you will play a pivotal role in shaping our next-generation safety solutions. You&rsquo;ll be at the forefront of innovation, designing and implementing AI-powered features that redefine workplace safety. Your work will drive strategic decisions, optimize system architecture, and influence best practices, ensuring our technology remains industry-leading.<br>
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Key job responsibilities<br>
<ul><li>Apply LLM model to analyze complex unstructured datasets and extract meaningful insights.</li><li>Collaborate with software engineers to implement and deploy machine learning (LLM or CV) solutions.</li><li>Conduct experiments and evaluate model performance, iterating and improving as needed.</li><li>Stay up-to-date with the latest advancements in machine learning and related fields.</li><li>Collaborate with cross-functional teams to understand business needs and identify areas for application of machine learning.</li><li>Present findings and recommendations to stakeholders and contribute to the overall research and development strategy.</li></ul><br>
A day in the life<br>
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:<br>
1. Medical, Dental, and Vision Coverage<br>
2. Maternity and Parental Leave Options<br>
3. Paid Time Off (PTO)<br>
4. 401(k) Plan<br>
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If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you&rsquo;re passionate about this role and want to make an impact on a global scale, please apply!<br>
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About the team<br>
WHS DataTech is a multidisciplinary team of scientists and engineers dedicated to building AI-powered solutions that improve workplace safety across Amazon. We work at the intersection of large-scale data, advanced machine learning, and computer vision, delivering innovations that enhance decision-making, streamline operations, and protect millions of associates worldwide. Our collaborative culture emphasizes scientific rigor, engineering excellence, and a strong mission focus on creating safer, more efficient workplaces.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TN, Nashville - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Workplace Health & Safety

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
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Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
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A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
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Key job responsibilities<br>
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:<br>
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<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
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About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.<br>
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Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually<br>
USA, NY, New York - 172,400.00 - 223,400.00 USD annually<br>
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Sponsored Products Off-Search Auction

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video subscriptions such as Apple TV+, HBO Max, Peacock, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
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Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.<br>
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As a Prime Video team member, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
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We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
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Key job responsibilities<br>
As a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media, while also responsible for creating and maintaining the best environment for applied science in order to recruit, retain and develop top talent. You will lead the research direction for a team of deeply talented applied scientists, creating the roadmaps for forward-looking research and communicate them effectively to senior leadership. You will also hire and develop applied scientists - growing the team to meet the evolving needs of our customers.<br>
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About the team<br>
This team's mission is to deeply understand all content and empower all customers with relevant language options, innovative accessibility assists, and rich title-information across all their content-experiences on Prime Video. We create and publish content on-time that's meaningful, accurate, and accessible to every customer globally. We delight our customers by pushing the boundaries of content understanding and enrichment. Through inclusion and innovation, we do the most fulfilling work of our career.<br>
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</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Prime Video - Content Localization, Understanding & Enrichment

Delta Faucet Company

<div><p>At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.</p><p></p><p><b>
Your Role at Delta Faucet</b></p><p>
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!</p><p>
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company&rsquo;s growth initiatives.</p><p></p><p><b><br>
Responsibilities</b></p><p>
As an Applied Data Scientist within Delta Faucet Company&rsquo;s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.</p><ul><li>
Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.</li><li>
Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.</li><li>
Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.</li><li>
Build AI and machine learning solutions that are aligned with business needs.</li><li>
Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.</li><li>
Present data-driven recommendations to leaders across the organization, including tactical and C-suite.</li></ul><p></p><p><b><br>
Qualifications</b></p><ul><li><b>
4+ years</b> of experience in data science, advanced analytics, or applied machine learning roles.</li><li><b>
4+ years</b> of hands-on experience applying statistical methods and analytical modeling to real business problems.</li><li><b>
4+ years</b> of experience using <b>Python</b> for data analysis, modeling, and experimentation.</li><li><b>
4+ years</b> of experience writing and refining complex <b>SQL</b> queries against large, structured datasets.</li><li><b>
3+ years</b> of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.</li><li><b>
2+ years</b> of experience working in a modern analytics platform (e.g., <b>Databricks</b>, Spark/PySpark, or similar).</li><li><b>
1+ years</b> of hands-on‑ experience applying <b>generative AI technologies</b> (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.</li><li>
Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.</li></ul><p>
Preferred Qualifications</p><ul><li>
2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.</li><li>
1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.</li><li>
1+ years of experience with conjoint analysis or other stated-preference research methods.</li></ul><p></p><p><b><br>
Why Join Us?</b></p><p>
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You&rsquo;ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.</p><p>
Here are some of the benefits we offer for your personal and professional growth:</p><ul><li><b>
Culture:</b> Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.</li><li><b>
Wellbeing:</b> Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.</li><li><b>
Learning &amp; Development:</b> LinkedIn Learning access; internal opportunities to work on projects cross-company.</li><li><b>
Social Impact:</b> Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Company: Delta Faucet Company</b></h2><p></p>
Full time<p></p>
Hiring Range: $88,700.00 - $139,260.00 USD<p></p>
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.<p></p><p><i>
Delta Faucet Company</i> <i>(the &ldquo;Company&rdquo;) is an equal opportunity employer and</i> <i>we </i><i>strive to employ the most qualified individuals for every position</i><i>.</i> <i>The Company makes employment decisions only based on merit. It is the Company&rsquo;s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.</i></p><p></p><p><i>
Delta Faucet Company </i><i>is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.</i></p><p></p><p><i>
E-Verify Participation Poster:</i><i> </i>English &amp; Spanish</p><p><i><br>
E-verify Right to Work Poster:</i><i> </i><i>English</i><i>,</i><i> </i><i>Spanish</i></p><p></p>
#LI-Remote</div>

Applied Data Scientist

Jerry

<div><div><div><b>Why </b><b>Jerry.ai</b></div><ul><li><div>
Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size)</div></li><li><div>
Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain</div></li><li><div>
Disrupt a massive market and take us to a $10B business in the next few years</div></li><li><div>
Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article</div></li><li><div>
Be immersed in a talent-dense environment and greatly accelerate your career growth</div></li><li><div>
Impact millions of users experience with car maintenance and auto insurance</div></li></ul><p></p><p><b>
   About the opportunity</b></p><p>
We are looking for a <b>detail-obsessed Applied Data Scientist</b> to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions.</p><p></p><p>
This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis.</p><p></p><p>
   <b>How you will make an impact</b></p><ul><li><div><b>
Model Ownership: </b>Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges</div></li><li><div><b>
Data Quality: </b>Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies</div></li><li><div><b>
Problem Investigation: </b>Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy</div></li><li><div><b>
Cross-Functional Collaboration: </b>Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models</div></li><li><div><b>
Documentation: </b>Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions</div></li></ul><p></p><p><b>
   Who You Are</b></p><ul><li><div><b>
Obsessed with Details:</b> You have an exceptional eye for detail and a low tolerance for errors. You believe that accuracy and precision are non-negotiable</div></li><li><div><b>
A Strategic Thinker:</b> You can see the bigger picture and are passionate about building robust systems and processes that will stand the test of time</div></li><li><div><b>
Proactive &amp; Persistent:</b> You don't wait for problems to find you. You actively seek out data quality issues and are persistent in seeing an investigation through to its resolution.</div></li><li><div><b>
Curious &amp; Adaptive: </b>You are inherently curious and possess a strong desire to understand how things work. You're comfortable with ambiguity and skilled at breaking down complex problems</div></li></ul><p></p><p><b>
   Requirements</b></p><ul><li><div><b>
Education:</b> Bachelor&rsquo;s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.)</div></li><li><div><b>
Programming:</b> Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation</div></li><li><div><b>
Data Quality: </b>Hands-on experience with data cleaning techniques and data validation frameworks</div></li><li><div><b>
Tooling: </b>Familiarity with data visualization tools to help identify and communicate data issues</div></li></ul><p></p><p><i>
While we appreciate your interest and application, only applicants under consideration will be contacted.</i></p><p></p><p><i>
Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
</i></p><p></p><p><i>Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at </i><i>recruiting@jerry.ai</i></p><p></p><p><i>
The successful candidate&rsquo;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants.
</i></p><p></p><p><i>We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits.</i></p><p></p><p><b>
About Jerry.ai:</b></p><p>
Jerry.ai is America&rsquo;s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets.</p><p></p><p>
Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.</p><p></p><p>
We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers &mdash; and we&rsquo;re just getting started.</p><p></p><p>
Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.</p><p></p><p>
Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that&rsquo;s disrupting a massive market.</p></div></div><p></p>

Associate Applied Data Scientist

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