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data science team manager - commercial

senior data scientist

Spotify

<div><div><div><div><div><div>Data, Research &amp; Insights</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Our mission on the Advertising Product &amp; Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.</div></div><div><div><div><br>
</div><div>The Ads Data Platform team is seeking a senior-level data scientist to help build our ad measurement products. You will support the building of our experimentation platform and related measurement solutions for advertisers, allowing them to optimize their campaigns on Spotify. You will work alongside product managers, engineers, and product marketers, leading the development of our measurement offerings from a data science perspective.</div><div><br>
</div><div>As part of the Advertising team, you&rsquo;ll work on the latest advertising technologies to connect millions of brands to billions of fans. We&rsquo;re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Join us and help build the product solutions that empower this!</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Partner with product and engineering to understand audience product problems and propose data-driven solutions.
</li><li>Deliver solutions to challenging, large-scale problems with complexity and ambiguity independently
</li><li>Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large datasets</li><li>
Communicate data-driven insights and recommendations to key partners</li><li>
Work closely with a cross-functional team of product owners, product marketers, and engineers</li><li>
Prioritize business solutions, regardless of product area</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have 5+ years of experience in a similar data science role and a degree in a quantitative subject area</li><li>
You are comfortable building and maintaining large, complex datasets</li><li>
You have the technical competence to perform advanced analytics and data extraction (using SQL, and Python or R)</li><li>
You can explain complex concepts to non-technical stakeholders and conduct nuanced discussions with engineers</li><li>
Deep knowledge of statistical inference, preferably including experience with Bayesian methods</li><li>
You have experience in experimental design / causal inference</li><li>
You have experience taking a project idea and bringing it to life through self-driven scoping, planning, and stakeholder communication</li><li>
Ad tech experience is a plus</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.</li><li>
This team operates within the U.S. Eastern time zone for collaboration.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $143,023.00- 204,319.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div></div><div><div><p><br>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Senior Data Scientist, Ads Data Platform

Partner Data Scientist, Governance

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
</p><p>As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate within our innovative team, you will apply advanced machine learning techniques to tackle complex challenges such as natural language processing, speech analytics, time series analysis, reinforcement learning, and recommendation systems. You will collaborate with diverse teams and contribute to our knowledge-sharing community. We seek team members who thrive in a collaborative environment, working closely with business partners, technologists, and control teams to implement solutions in production. If you are passionate about machine learning and enjoy dedicating time to learning, researching, and experimenting with new advancements in the field, this role is ideal for you. We highly value expertise in Deep Learning, hands-on implementation experience, strong analytical skills, a deep desire to learn, and high motivation.</p><p>
Job responsibilities</p><ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business<br>
<li>
</li></ul><p>Required qualifications, capabilities, and skills</p><ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.</li><li>
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li><li>
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul><p>
Preferred qualifications, capabilities, and skills</p><ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Scientist - NLP - Senior Associate - Machine Learning Center of Excellence

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. 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>
<br>
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>
<br>
Key job responsibilities<br>
As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on.
<br>
<br>
You&rsquo;ll work on diverse projects that enhance Prime Video&rsquo;s content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:
<br>
<ul><li>Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia
</li><li>Innovate in advanced diffusion and flow-based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test-time adaptation) to improve efficiency, controllability, and scalability.
</li><li>Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre-visualization, compositing, VFX, and post-production pipelines.
</li><li>Design multimodal GenAI workflows including visual-language model tooling, structured prompt orchestration, agentic pipelines.</li></ul><br>
A day in the life<br>
Prime Video is pioneering the use of Generative AI to empower the next generation of creatives. Our mission is to make world-class media creation accessible, scalable, and efficient.
<br>
<br>
We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production-ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies across Prime Video&rsquo;s global content and marketing pipelines. This is a newly formed team within Prime Video Science!</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in generative models (diffusion, flow, transformers)</li><li>Hands-on experience with image/video synthesis and editing techniques</li><li>Proficiency in PyTorch and modern DL toolkits (e.g., Hugging Face ecosystem)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR)</li><li>Experience with controllable generation methods, including emerging approaches (familiarity with LoRA/ControlNet, parameter-efficient tuning, or test-time training a plus)</li><li>Expertise in one or more of: harmonization, relighting, style transfer, lip-sync, segmentation, matting, depth estimation, 3D camera/scene modeling.</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>
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>
<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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, Prime Video - Generative AI

<div><div><div><div><div><div>Engineering</div></div></div><div><div>
Machine Learning</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
Our mission on the Advertising Product &amp; Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.</div></div><div><div><div><br>
</div><div>We are seeking a Senior Machine Learning Engineer to join the Ad Engagement squad. Ad Engagement focuses on using machine learning to accurately predict how Spotify listeners will react to ads, helping advertisers minimize their costs while delivering a more relevant and enjoyable ad experience for listeners. Our core innovations include Multi-Task Learning models (MTL), and we are expanding into scalable sequence modeling with complex transformer architectures. Recently, we presented a paper about this in KDD Toronto and you can check out the latest details in the blog post here.</div><div><br>
</div><div>We are also seeking a Senior Machine Learning Engineer to join the Supply Personalization squad. Supply Personalization focuses on optimizing the volume, timing, and types of ad loads a user receives. By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving business outcomes.</div><div><br>
</div><div>We are looking for someone with strong expertise in data analysis, online experimentation techniques, and large-scale ML and engineering systems; someone who is motivated by user and business problems as much as they are by technical problems, and who thrives under ambiguity, experimentation, and iteration. You will work directly on an array of product features that drive the optimal user experience for our ads. You will collaborate with our cross-functional teams to ideate, develop, and own complex technical solutions on our ad services technology platforms. As someone who shares our passion for building innovative ad experiences, you'll have a direct impact on how the world uses Spotify.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Design and implement machine learning systems for ad performance optimization.
</li><li>Research and apply ML optimization strategies to balance multiple objectives effectively.</li><li>
Work on a paradigm shift modeling work for Ads that involves working on Sequence Transformer model for User-Ad Interaction, that works along a MTL model</li><li>
Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.</li><li>
Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have professional experience in applied machine learning.</li><li>
You have strong technical expertise in software engineering, data analysis, and machine learning.</li><li>
You are proficient in programming languages such as Python, Java, or Scala.</li><li>
Experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle</li><li>
You have expertise in developing data pipelines using tools like Apache Beam or Spark.</li><li>
As a plus, you may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.</li><li>
This team operates within the U.S. Eastern time zone for collaboration.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $176,166.00 - $251,666.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div></div><div><div><p><br>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Senior Machine Learning Engineer, Ads R&D

The Farmer's Dog

<div><h3 class="jobSectionHeader"><b>Who We Are</b></h3>
<p>
The Farmer's Dog was born from a mission to change the landscape of pet health, providing dogs and their humans with honest, smart, and simple care. We're starting by radically improving the $90 billion pet food industry, replacing bags of highly-processed pellets with a personalized subscription service that sends complete and balanced, freshly-made dog food directly to customers' doors. Our ultimate goal is to create innovative, delightful and personalized experiences across all aspects of pet care, and we believe our direct-to-consumer business model, holistic approach to growth, and dynamic culture uniquely position us to shepherd this backwards industry into the future.</p>
<p>
To date, The Farmer's Dog has delivered over 1 billion meals nationwide and raised over $150M in funding to help us build a company as healthy as the dogs who are eating those meals. Join us as we continue to develop ways of bringing peace of mind to customers, health to their companions, and much-needed change to the way people feed and care for their pets.</p>
<p>
#LongLiveDogs</p>
<h3 class="jobSectionHeader"><b>
What We Stand For and Where You'll Come In</b></h3>
<p>
We're looking for an experienced Senior Director of Analytics to work on Supply Chain &amp; Operations and Product Development efforts to deliver on our promise of quality food and timely delivery of our subscription boxes to our customers. This role also enables removing blindspots in our food and the box journey to customer and enrich our understanding in the inputs to output metrics. You will be responsible for synthesizing a wide-variety of data sources by working with external and internal partners. You'll have the opportunity to build upon our existing foundation to take the foundation we have in place today and evolve it effectively with the business to ensure we continue to design seamless and deeply personalized experiences in the box journey..</p>
<p>
In the role, you'll partner closely with groups across the business in Product, Engineering, CX, Operations, Data Engineering, Analytics Engineering, Data Scientists and other Analysts to build a best-in-class experiment design and insight generation engine.</p>
<p>
We need a leader who can share an inspiring vision, execute by bringing everyone on to the execution path, bring clarity and momentum and work with internal and external partners to remove blindspots in product journey to customer. This is the competitive edge for DTC business. This helps build feedback loops to what future products to launch, calibrate existing recipes, personalize fulfillment, identify margin opportunities and improve stickiness of our product with customers. As we continue to grow operationally for new products, product lines, etc. we'd need more strategic leadership to understand intricacies and nuances with external partners as well</p>
<p><b>
One Team:</b> We don't think of ourselves as &quot;Supply Chain Specialists&quot;, &quot;Engineers&quot;, &quot;Data Analysts&quot;, or &quot;Product Managers&quot;. Beyond denoting skill sets and areas of expertise, we don't think departments matter. We'd rather align ourselves to the goals we're working to achieve and make sure we have necessary subject matter expertise to drive meaningful impact. We strive to orient ourselves around customer problems TOGETHER &ndash; getting the right people, with the right context, in the right rooms/Zooms to solve problems holistically.</p>
<p><b>
We are skeptical about everything and precious about nothing:</b> Ideas can and should come from anywhere, and we aren't tied to our own. We proactively source input. We talk to our customers and leads regularly and are quick to change course if we know there's a better or more impactful way to solve problems.</p>
<p><b>
We consider the customer journey in all of our decisions:</b> We know that no interaction exists in a silo and therefore understand how important every single one is. We ensure our strategy sets prospective and new customers up for success and drives long-term retention. We answer questions and address problems early and proactively. We understand the value of different channels, initiatives, and messages and know how to articulate impact and advocate for prioritization holistically.</p>
<p><b>
We Execute For Impact:</b> We don't subscribe to &quot;best practices&quot; or &quot;industry KPIs&quot;. We're uninterested in how we compare to &quot;benchmarks&quot;; instead we orient ourselves around being the best we can possibly be. Similarly, we don't subscribe to rigid or classical expectations of roles &ndash; i.e. acquisition is hyper-focused on improving customer retention and experience.</p>
<p><b>
We Are Focused and Work Without Assumption</b>: We are not beholden to ideas. We have goals and believe everything beyond that is a series of hypotheses to validate. To that end, we seek to work in sequence and not in parallel. We constantly ask ourselves, &quot;what's the most important hypothesis I should be working on right now? How do I confirm or reject that hypothesis as fast as possible?&quot;. We rarely have timelines/deadlines and are constantly taking in new information and adjusting our priorities accordingly. We don't expect to be perfect the first time.</p>
<p><b>
How You'll Make An Impact</b></p>
<ul>
<li>Define and execute the analytics vision, strategy, and roadmap for supply chain and product development, with clear goals, priorities, and stakeholder communication.</li>
<li>Build, lead, and mentor a high-impact Analytics team, providing coaching, feedback, and career development to drive long-term success.</li>
<li>Develop and oversee scalable data infrastructure, reporting, and advanced analytics to enable supply chain efficiency, product lifecycle management, and operational scalability.<br>
Drive performance improvement through experimental design, causal inference, scenario modeling, and rapid prototyping of new solutions.<br>
Partner cross-functionally (Product, R&amp;D, Operations, Finance, Engineering) to align business requirements with scalable data architectures and analytics capabilities.</li>
<li>Collaborate with Data Science on automation, forecasting, and predictive modeling to strengthen supply chain resilience and accelerate product innovation.</li>
<li>Provide macro perspectives on supply chain performance and product portfolio health, surfacing data-driven insights to inform KPIs, trade-offs, and strategic pivots.</li>
<li>Monitor supplier, production, and fulfillment performance, using experimentation and analytics to validate causality, identify risks, and uncover opportunities.<br>
Design frameworks for rapid experimentation, scenario planning, and decision support to guide operational and product strategies.</li>
<li>Deeply analyze product development workflows, supplier networks, logistics, and fulfillment operations to optimize value across the end-to-end supply chain.</li>
</ul><h3 class="jobSectionHeader"><b>We're Excited About You Because</b></h3>
<ul><li>You have 10+ years of experience in analytics, data, or software engineering (experience in supply chain, manufacturing, or product development analytics is a strong plus)</li>
<li>You're a strong people leader with proven ability to build and lead high-performing groups fostering an environment of empowerment, development, collaboration while creating feedback loops and effectively managing performance.</li>
<li>You have a strong passion for data storytelling and inspiring action across product and operational teams.</li>
<li>You have expertise in BI tools such as Looker, Tableau, or Power BI.</li>
<li>You are proficient in advanced analytical tools (SQL, Python, R).</li>
<li>You have experience building transformations in dbt and can communicate fluently with Analytics and Data Engineering.</li>
<li>You are passionate about applying data to optimize supply chain efficiency, enable product innovation, and improve operational resilience.</li>
<li>You're able to translate business needs into technical requirements for Data Science, Data Engineering, and Analytics functions.</li>
<li>You possess expert-level analytical skills and a proven track record of using data to drive measurable impact in product development and/or supply chain operations.</li>
<li>You are detail-oriented and proactive, thrive as a self-starter, and excel in managing multiple projects simultaneously.<br>
You are an owner, have excellent problem-solving and communication (both written and verbal) skills, and can effectively prioritize tasks.</li>
<li>You are able to build strong cross-functional relationships, facilitate discussions effectively, and drive consensus.</li>
<li>You have experience leveraging data to drive strategic insights</li>
<li>You love dogs</li>
</ul><h3 class="jobSectionHeader"><b>Office Guidelines</b></h3>
<p>
We are an in-office culture, made of in-office people who thrive on the collaboration and magnetism of working in a shared space. We are seeking individuals who excel in this type of environment, where being present fosters deeper connections and engagement.</p>
<h3 class="jobSectionHeader"><b>
Our Belonging Philosophy:</b></h3>
<p>
Our company's mission is rooted in deep, genuine care for dogs &ndash; and for the people who love them. As an organization we are full of individuals who are unique in many ways, but all united in a mission of providing true peace of mind to dog lovers everywhere. Fixing this industry and improving the lives of pets and their people will be a difficult, decades-long endeavor. We believe the best use of our time, energy, and resources as a collective team is to focus on this mission, and on supporting our team to do their best work and be their best selves. In support of this we're committed to hiring and supporting a diverse workforce, and investing in internal structures, opportunities, hiring/promotions processes, and training that create and sustain an inclusive team. We strive to provide an experience at TFD that will be invested, meaningful and memorable as we progress on the journey to reimagine how we feed and care for our pets.</p>
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A Few of Our Best Benefits</b></h3>
<ul><li>Dog-friendly office in Greenwich Village</li>
<li>Market-competitive compensation and equity packages</li>
<li>Comprehensive Healthcare, Dental, and Vision</li>
<li>Company supported mental health benefits</li>
<li>12 week paid parental leave</li>
<li>Competitive 401k plan with company match</li>
<li>Flexible PTO</li>
<li>Discounted fresh food for your pup</li>
<li>Your pet interrupting video calls (and in-person meetings) is now a feature, not a bug</li>
</ul>
<p>We commit to building a competitive compensation package and company environment for all individuals to thrive. We believe in competitive base compensation rooted in location specific market data and performance along with equity ownership in the company that allows every team member to build their personal wealth as the company grows, just as much as we believe in fostering a culture that supports our team members personally, professionally, and holistically. <b>For this role the anticipated hiring base compensation range is $245,000 - $260,000 USD annual and the compensation offered will include a robust market competitive package of base and equity. </b>In addition to your base compensation offer you will also receive a bonus and equity ownership in the company. More information about the value of this equity will be shared at the time of offer. This range is representative of NYC Market Data if you are applying to this role outside of the NYC area the range may change.</p>
<h3 class="jobSectionHeader"><b>
Equal Employment Opportunity Statement</b></h3>
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The Farmer's Dog, Inc. is an equal employment opportunity employer and does not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religion, creed, national origin, physical or mental disability, protected veteran status or any other legally protected characteristic or status. For more information, please visit Know Your Rights.</p>
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Reasonable Accommodations</b></h3>
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TFD complies with applicable federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact humansops@thefarmersdog.com.</p></div>

Senior Director of Analytics

<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 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.
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This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.<br>
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We are seeking a science leader for our team within the Sponsored Products &amp; Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!<br>
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Key job responsibilities<br>
<ul><li>Serve as a tech lead for defining the science roadmap for multiple projects in the conversational ad experiences space powered by LLMs.</li><li>Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership</li><li>Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.</li><li>Work closely with product managers to contribute to our mission, and proactively identify opportunities where science can help improve customer experience
</li><li>Research new machine learning approaches to drive continued scientific innovation</li><li>Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences</li><li>Help attract and recruit technical talent, mentor scientists and engineers in the team</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Conversational Ad Experiences

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