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data scientist, product analytics Jobs in New York

data scientist, product analytics

applied scientist

Amazon Web 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>
<br>
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!<br>
<br>
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>
<br>
<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>
<br>
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.</div><h2 class="jobSectionHeader"><b><br>
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>
<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, 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, Off-Search Relevance, Sponsored Products

Amazon.com

<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>
<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>
<br>
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!<br>
<br>
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>
<br>
<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>
<br>
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>
<br>
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>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>
<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.<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 - 192,200.00 - 260,000.00 USD annually<br>
USA, NY, New York - 183,800.00 - 248,700.00 USD annually<br>
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, Sponsored Products Off-Search Sourcing

GEICO

<div><p><b>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.</b></p><p><b>
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.</b></p><p></p><p><b>
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.</b></p><p></p><div><div><p><b>
Job Title: Senior </b><b>Research </b><b>Scientist</b></p></div><div><p>
We are seeking a highly skilled Senior Research Scientist with a strong technical background and proven expertise in machine learning and artificial intelligence. As the AI Research team at GEICO continues to grow, you will serve as a tech lead driving end-to-end AI initiatives&mdash;from problem framing and experimentation to production deployment and adoption. You will set technical direction, architect scalable solutions, and mentor juniors while partnering closely with product, engineering, and domain experts to deliver measurable business impact.</p></div><div><p><b>
Key Responsibilitie</b><b>s:</b></p></div><div><ul><li><p>
Lead AI/ML Solution Design &amp; Delivery: Lead the design and delivery of ML and GenAI solutions for complex, ambiguous, cross-functional problems. Define success metrics, validation plans, and pathways to production.</p></li></ul></div><div><ul><li><p>
Technical Roadmapping &amp; Partnership: Partner with product, engineering, and domain experts to translate business needs into feasible technical roadmaps, de-risking assumptions and aligning milestones to outcomes.</p></li></ul></div><div><ul><li><p>
Experimentation &amp; Causal Inference: Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making.</p></li></ul></div><div><ul><li><p>
Mentorship &amp; Coaching: Mentor junior scientists and engineers, share best practices, and cultivate a high bar for scientific rigor, coding standards, and reproducibility.</p></li></ul></div><div><ul><li><p>
Communication &amp; Stakeholder Management: Communicate approach, trade-offs, and results to technical and non-technical audiences; provide realistic estimates and influence decision-making across the organization.</p></li></ul></div><div><p><b>
Key Competencies:</b></p></div><div><ul><li><p>
Technical Leadership: Proven ability to set technical direction and make authoritative decisions on modeling approaches, architecture, and trade-offs.</p></li></ul></div><div><ul><li><p>
Scientific Rigor: Strong experimental design, statistical reasoning, and causal inference skills with an emphasis on measurable business outcomes.</p></li></ul></div><div><ul><li><p>
Creativity &amp; Problem Solving: Demonstrated ability to break down ambiguous problems and deliver pragmatic, scalable solutions.</p></li></ul></div><div><ul><li><p>
Communication &amp; Influence: Clear, structured communication that bridges technical and business stakeholders.</p></li></ul></div><div><ul><li><p>
Mentorship: Track record of elevating teammates through code/design reviews and knowledge sharing.</p></li></ul></div><div><ul><li><p>
Strategic Thinking: Aligns day-to-day execution with long-term platform, data, and business strategy.</p></li></ul></div><div><ul><li><p>
Adaptability: Thrives in a fast-paced environment and adjusts to evolving priorities and constraints.</p></li></ul></div><div><p><b>
Minimum</b><b> Requirements:</b></p></div><div><ul><li><p>
Master&rsquo;s or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.</p></li></ul></div><div><ul><li><p>
3+ years of experience developing, deploying, and operating AI/ML models in production.</p></li></ul></div><div><ul><li><p>
Strong proficiency in Python, data processing, and SQL, and in AI/ML frameworks such as PyTorch and Scikit-learn.</p></li></ul></div></div><div><div><ul><li><p>
Experience designing online experiments and conducting causal analyses; demonstrated ability to define, instrument, and monitor business KPIs.</p></li></ul></div><div><ul><li><p>
Proven experience leading end-to-end AI/ML initiatives and partnering cross-functionally with product and engineering.</p></li></ul></div><div><p><b>
Preferred Qualifications:</b></p></div><div><ul><li><p>
Experience with the design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs.</p></li></ul></div><div><ul><li><p>
Experience with GenAI quality management, including evaluators, red-teaming, guardrails, and human-in-the-loop systems.</p></li></ul></div><div><ul><li><p>
Familiarity with insurance operations and model governance in regulated environments.</p></li></ul></div><div><p><b>
Work Location</b><b>s</b>: Candidates must be open to the following locations:</p></div><div><ul><li><p>
Chevy Chase, Maryland</p></li></ul></div><div><ul><li><p>
Palo Alto, CA</p></li></ul></div><div><ul><li><p>
New York City, NY</p></li></ul></div></div><p></p><p><b><br>
Annual Salary</b></p>
$115,000.00 - $230,000.00<p>
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations.</p><br>
<p></p>
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.<p></p><p><b><br>
The GEICO Pledge:</b></p><p></p><p><b>
Great Company:</b> At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.</p><p>
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.</p><p></p><p><b>
Great Careers:</b> We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.</p><p></p><p><b>
Great Culture:</b> We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.</p><p>
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.</p><p></p><p><b>
Great Rewards:</b> We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.</p><ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul><p></p><p>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.</p><p></p><p>
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</p></div>

Senior Applied Research Scientist

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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>
<br>
We are seeking an experienced Data Scientist to join the Sponsored Products Auction team. This team is responsible for building and evaluating mechanisms to rank and price billions of ad impressions per day. We're looking for a Data Scientist to define measures of auction efficiency and produce insights into the quality of inputs to our auction (supply, demand, ML model predictions). This role will also be responsible for exploratory data analysis to identify opportunities for improvement of the system and working closely with Economists, Applied Scientists and Engineers to improve our product.<br>
<br>
As a Data Scientist on this team, you will:<br>
<ul><li>Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.</li><li>Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
</li><li>Apply statistical and machine learning knowledge to specific business problems and data.</li><li>Build decision-making models and propose solution for the business problem you define.</li><li>Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.</li><li>Analyze historical data to identify trends and support optimal decision making.</li><li>Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.</li><li>Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.</li><li>Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.</li></ul><br>
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon&rsquo;s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.<br>
<br>
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.<br>
<br>
Team video https://youtu.be/zD_6Lzw8raE</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</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, NY, New York - 153,400.00 - 207,500.00 USD annually<br>
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Lyft Ads is one of Lyft&rsquo;s newest and fastest-growing businesses, focused on building the world&rsquo;s largest transportation media network. Our mission is to help brands reach riders during key moments of their journey&mdash;before, during, and after a ride&mdash;by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes.
 <br/>
 <br/>
 We are seeking an
 <strong>
  Algorithms Scientist
 </strong>
 to help build the next generation of ads relevance, targeting, optimization, and measurement algorithms that power the Lyft Ads platform. In this role, you will work across large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. You&rsquo;ll collaborate closely with Engineering, Product, Data Science, and Sales to translate ambiguous business and advertiser needs into rigorous algorithmic solutions that improve ad performance, enhance marketplace efficiency, and drive meaningful revenue growth.
 <br/>
 <br/>
 This is a high-impact, highly technical role within a rapidly scaling business line. The ideal candidate brings strong applied machine learning intuition, hands-on modeling experience, and the ability to write clean, efficient production code. You will play a critical role in shaping how advertisers connect with Lyft riders&mdash;pushing the boundaries of personalization, measurement, and real-time optimization in a dynamic marketplace.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy production-grade machine learning models and algorithms that power core Lyft Ads capabilities, such as ad relevance, targeting, ranking, bid optimization, pacing, campaign delivery, and measurement.
  </li>
  <li>
   Own the end-to-end lifecycle of modeling projects &mdash; including problem definition, data exploration, feature engineering, model development, offline evaluation, deployment, and monitoring.
  </li>
  <li>
   Collaborate closely with Ads Engineering to integrate models into real-time ad-serving and batch decision systems, ensuring performance across latency, scalability, and reliability constraints.
  </li>
  <li>
   Analyze large-scale mobility, behavioral, and ads performance datasets to identify patterns, surface opportunities, and guide ML and AI driven product improvements.
  </li>
  <li>
   Implement rigorous model evaluation frameworks, including offline metrics, statistical tests, calibration, sensitivity analysis, and A/B experimentation to validate both model impact and system-level outcomes.
  </li>
  <li>
   Build robust training pipelines, feature transformations, and scoring infrastructure, ensuring reproducibility, observability, and long-term maintainability.
  </li>
  <li>
   Partner with Product, Engineering, and Sales to translate ambiguous advertiser goals (e.g., increased conversions, reach efficiency, brand lift) into measurable requirements and success metrics.
  </li>
  <li>
   Investigate and resolve model behavior issues, production regressions, calibration drift, and performance anomalies in close partnership with Ads Infra teams.
  </li>
  <li>
   Drive innovation by staying current with advances in ML for ranking, recommendation, causal inference, optimization, and ads measurement &mdash; and proactively identifying opportunities to apply them.
  </li>
  <li>
   Contribute to Lyft Ads&rsquo; modeling and experimentation infrastructure, through model cards, documentation, reproducibility standards, and code quality improvements.
   <br/>
   <br/>
  </li>
 </ul>
 Experience:
 <br/>
 <br/>
 <ul>
  <li>
   Master&rsquo;s, or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative fields; or equivalent applied industry experience.
  </li>
  <li>
   3&ndash;5 years of hands-on ML/applied science experience, ideally involving production models, large-scale systems, or ads/recommendation/relevance domains. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn; ability to write clean, efficient, production-adjacent code.
  </li>
  <li>
   Experience working with large-scale datasets and distributed data tools (Spark, Snowflake, Presto, Databricks).
  </li>
  <li>
   Practical experience building and evaluating:
  </li>
  <ul>
   <li>
    Ranking and relevance models
   </li>
   <li>
    Optimization or pacing algorithms
   </li>
   <li>
    Predictive models for CTR, CVR, or user response
   </li>
   <li>
    Causal or experimentation-based measurement methods
   </li>
  </ul>
  <li>
   Understanding of online/offline evaluation techniques, including:
  </li>
  <ul>
   <li>
    Offline metrics (AUC, NDCG, MRR, calibration)
   </li>
   <li>
    A/B testing methodologies
   </li>
   <li>
    Bias correction and counterfactual estimation
   </li>
  </ul>
  <li>
   Ability to solve ambiguous problems by structuring analyses, evaluating trade-offs, and proposing algorithmic solutions grounded in scientific rigor.
  </li>
  <li>
   Strong communication skills, with an ability to clearly explain model behavior, constraints, trade-offs, and recommendations to engineering, product, and sales partners.
  </li>
  <li>
   Demonstrated ownership of modeling work, including debugging, monitoring, documentation, and iteration after deployment.
  </li>
  <li>
   Curiosity, initiative, and a track record of delivering measurable improvements through high-quality modeling.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
   <br/>
   <br/>
  </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 <br/>
 <br/>
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 <br/>
 <br/>
 The expected base pay range for this position in the New York City area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
 <br/>
 <br/>
 Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>


Data Scientist, Algorithms - Lyft Ads

Paramount Streaming

<div><p><b>#WeAreParamount on a mission to unleash the power of content&hellip; you in?</b><br>
We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the<b> </b>power<b> </b>to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.</p><p></p><p><b><br>
Role Overview</b><br>
Paramount Streaming is building the next generation of personalization and discovery across global platforms. This role leads high-impact machine learning initiatives focused on optimizing the Paramount+ sign-up and Pluto TV registration flow.</p><p>
This position shapes how millions of viewers discover films, series, live sports, and news on Paramount+, Pluto TV, and our future streaming products.This is a highly visible technical leadership role facilitating innovation at the intersection of ML modeling, retrieval and ranking systems, multi-modal embeddings, multi-armed bandits, experimentation, and real-time user comprehension.</p><p></p><p><b><br>
Responsibilities</b></p><br>
<ul><li>
Lead the design and development of personalization in the P+ sign-up flow and Pluto TV registration flows.</li><li>
Own end-to-end machine learning pipelines&mdash;from data and feature engineering to training, deployment, serving, and monitoring.</li><li>
Partner closely with product, design, content, platform engineering, and data science to define roadmaps and deliver measurable user outcomes.</li><li>
Advance our semantic search and browse experience through state-of-the-art embeddings, query understanding, and domain-specific model architectures.</li>
Establish high-integrity experimentation practices, improve offline<li> online correlation, and guide feature rollouts with strong scientific rigor.</li><li>
Mentor engineers and scientists, develop technical talent, and help shape the culture of our growing Applied ML organization.</li></ul><p></p><p><b><br>
Basic Qualifications</b></p><ul><li>
7&ndash;10+ years of experience in machine learning engineering, applied science, recommender systems, multi-armed bandits, or large-scale search/ranking systems.</li><li>
Demonstrated expertise deploying ML systems in high-traffic, real-time production environments.</li><li>
Deep knowledge of modeling techniques such as representation learning, multi-task learning, multi-modal embeddings, contextual bandits, and session modeling.</li><li>
Strong fluency in experimentation methodology, A/B testing, causal reasoning, and metric design.</li><li>
Experience leading and mentoring technical teams; ability to drive strategy while remaining hands-on.</li><li>
Proficiency with modern ML tooling (PyTorch, TensorFlow), big-data environments (Spark, Beam, BigQuery), and production MLOps workflows.</li></ul><p>
#LI-PV1</p><p></p><p><br>
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;.</p><p></p><p><b><br>
Additional Information</b></p><p></p><p><br>
Hiring Salary Range: $234,000.00 - 260,000.00.</p><p></p><p><br>
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.</p><p><br>
</p><div><b>What We Offer:</b></div><ul><li>
Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits</li><li>
Generous paid time off.</li><li>
An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.</li><li>
Opportunities for both on-site and virtual engagement events.</li><li>
Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.</li><li>
Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount</li></ul><p></p><p><br>
Paramount is an equal opportunity employer (EOE) including disability/vet.</p><p></p><p><br>
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.</p><p></p><p><br>
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.</p></div><p></p>

Principal Machine Learning Engineer

DataAnnotation

<div>
 We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots writing and editing tasks and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Demonstrated proficiency in related technical, statistical, and mathematical skills
  </li>
  <li>
   A current, in progress, or completed Masters and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 <br/>
 <br/>
 #math
</div>


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