applied scientist ii, prime video - personalization and discovery science Jobs in New York

applied scientist ii, prime video - personalization and discovery science

associate scientist 1

data scientist - measurement Jobs in New York

data scientist - measurement

data scientist, growth

machine learning engineer, generative ai innovation center Jobs in New York

machine learning engineer, generative ai innovation center

machine learning scientist

Grammarly

<div><div><i>Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.</i></div>
<div></div>
<div><i>Grammarly team members in this role need to be located within the New York City Metropolitan area.</i></div>
<div></div>
<h3 class="jobSectionHeader"><b>About Grammarly</b></h3>
<div>Grammarly is the world&rsquo;s leading AI writing assistance company, trusted by over 40 million people and 50,000 organizations. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across&mdash;and get results&mdash;with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME&rsquo;s 100 Most Influential Companies, one of Fast Company&rsquo;s Most Innovative Companies in AI, and one of Inc.&rsquo;s Best Workplaces.</div>
<h3 class="jobSectionHeader"><b>The Opportunity</b></h3>
<div>To achieve our ambitious goals, we&rsquo;re looking for a Data Scientist to join our Growth Data Science team. In this role, candidates will partner closely with our product, engineering, growth, and/or lifecycle marketing stakeholders. They will be responsible for designing and overseeing product experiments, as well as conducting complex analyses to inform product strategy through advanced analytics and machine learning. The ideal candidate will have a strong track record of delivering impactful analytical projects within the Growth domain and partnering with cross-functional peers to guide and influence decision-making.</div>
<div></div>
<div>Grammarly&rsquo;s Data teams are trusted subject matter experts who uncover new insights to inform marketing, product, and growth strategies that drive outcomes at the highest levels of the company. We have large datasets and are seeking individuals with excellent technical and analytical skills who can break down complex business problems and provide solutions with high visibility and impact for the company.</div>
<div>Grammarly&rsquo;s engineers and researchers have the freedom to innovate and uncover breakthroughs&mdash;and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure.</div>
<div></div>
<div>As a Data Scientist, you will:</div>
<ul><li>Partner closely with growth product, engineering, design, growth, and lifecycle marketing teams.</li>
<li>Build new metrics that deliver insights and expand our understanding of our users.</li>
<li>Mine large datasets to uncover patterns across our users&rsquo; behaviors, enabling new marketing touchpoints.</li>
<li>Design and run experiments to improve the user experience across our user lifecycle.</li>
<li>Optimize marketing across our email, in-product, and push channels to ensure we send relevant, timely, personalized touchpoints to our users.</li>
<li>Guide your stakeholders&rsquo; decisions and roadmaps with informative, evidence-based decision-making.</li>
<li>Take on a broad and challenging scope of work in a rapidly evolving company.</li>
<li>Drive impact through statistical methodologies, algorithms, and measurement frameworks.</li>
<li>Collaborate with other data scientists to continue improving the methodologies and practices used across the team, leveraging the latest technological developments in the industry.</li>
<li>Develop causal inference and machine learning models that deepen user insights and drive engagement, retention, and feature adoption.</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications</b></h3>
<ul><li>Has 4+ years of relevant work experience with a proven track record of applying data science methods that drive impact.</li>
<li>Fluency in Python and SQL with strong data exploration and manipulation skills.</li>
<li>Has a firm grasp on how to best dig into and analyze datasets that influence the product roadmap.</li>
<li>Strong understanding of statistical methods, including causal inference, to support data-driven decision-making.</li>
<li>Is well-versed in hypothesis A/B testing as well as exploratory methods, and can translate business questions into sound experimental frameworks and measurement plans.</li>
<li>Experience building causal inference models in the product growth space.</li>
<li>Has a self-starting growth mindset and strong communication skills, translating technical insights into impactful business recommendations.</li>
<li>Is a creative problem-solver who simplifies problems to their core elements.</li>
<li>Embodies our EAGER values&mdash;is ethical, adaptable, gritty, empathetic, and remarkable.</li>
<li>Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.</li>
<li>Ability to collaborate in person in the New York City hub.</li>
</ul><h3 class="jobSectionHeader"><b>Compensation and Benefits</b></h3>
<div>Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:</div>
<ul><li>Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)</li>
<li>Disability and life insurance options</li>
<li>401(k) matching</li>
<li>Paid parental leave</li>
<li>20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time</li>
<li>Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)</li>
<li>Annual professional development budget and opportunities</li>
</ul><div>Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.</div>
<div>Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.</div>
<div></div>
<div>Zone 1: $175,000 to $220,000 USD</div>
<h3 class="jobSectionHeader"><b>We encourage you to apply</b></h3>
<div>At Grammarly, we value our differences, and we encourage all to apply&mdash;especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).</div></div><p></p>

Data Scientist, Growth

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.<br>
<br>
Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.<br>
<br>
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.<br>
<br>
We&rsquo;re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will<br>
<ul><li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges</li><li>Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production</li><li>Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
</li><li>Provide customer and market feedback to product and engineering teams to help define product direction</li></ul><br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master&rsquo;s degree plus 10 years of relevant work experience</li><li>5+ years of hands on experience with Python to build, train, and evaluate models</li><li>5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.</li><li>Scientific publication track record at top-tier AI/ML/NLP conferences or journals</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization</li><li>Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)</li><li>Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools</li><li>Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts</li><li>Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.</li><li>Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams.</li><li>Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.</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.<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>

Senior Applied Scientist, Model Customization, Generative AI Innovation Center, Model Customization

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
About Amazon Advertising:<br>
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you&rsquo;re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you&rsquo;ve come to the right place.<br>
<br>
About our team:<br>
Our team, CreativeX optimizations, is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), reinforced learning (RL), Computer Vision, and related methods.<br>
<br>
Key job responsibilities<br>
We are looking for talented Applied Scientists who are adept at a variety of skills, especially with reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring state-of-the-art research to raise the bar within the team.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 3+ 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>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Experience building machine learning models or developing algorithms for business application</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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>

Applied Scientist II, Creative X - RAPID

<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 add-on subscriptions such as Apple TV+, Max, 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.
<br>
<br>
As a Prime Video technologist, 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>
<br>
<br>
Key job responsibilities<br>
<ul><li>Develop ML models for various recommendation &amp; search systems using deep learning, online learning, and optimization methods</li><li>Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li><li>Publish your research findings in top conferences and journals</li></ul><br>
A day in the life<br>
We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative &amp; customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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 $136,000/year in our lowest geographic market up to $223,400/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>

Applied Scientist II, Prime Video - Personalization and Discovery Science

<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 novel 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 ecosystem. 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>
Key job responsibilities<br>
As an applied scientist on our team, you will<br>
<br>
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.
</li><li>You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.</li><li>You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Translate complex scientific challenges into clear and impactful solutions for business stakeholders.</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li></ul><br>
About the team<br>
We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale.<br>
<br>
Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store 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, fast-paced, and collaborative team with an entrepreneurial spirit.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>Deep curiosity, and basic knowledge on Gen AI</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Previous work on agents or LLMs</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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>

Applied Scientist, Sponsored Products and Brands

InMarket

<div><p><b>Job Title: </b>Data Scientist - Measurement</p>
<p><b>
Location:</b> Remote - US Only</p>
<p><b>
About InMarket</b></p>
<p>
Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today's top brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket's proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.</p>
<ul><li>Source: Wordstream US Google Display Benchmarks for Mobile Media</li></ul>
<p><b>
About the Role</b></p>
<p>
Data science is a core driver of InMarket's product design and innovation. As a Data Science team member, you will have the opportunity to leverage cutting-edge machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.</p>
<p>
Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading advertising measurement products. These solutions will be intelligent, adaptive, operate at scale, and be based on modern causal inference and marketing statistical methods. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.</p>
<p>
 <b>Your daily Impact as Data Scientist</b></p>
<ul>
<li>Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production</li>
<li>Take ownership of core advertising measurement products to expand our capabilities and push our performance boundaries</li>
<li>Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements</li>
<li>Collaborate closely with our engineering and product teams to expand our causal inference and attribution based measurement platform</li>
</ul>
<p><b>Your Experience &amp; Expertise</b></p>
<ul>
<li>Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)</li>
<li>Solid understanding of modern data science, AI and machine learning</li>
<li>At least 3 years of experience with applying modern statistical marketing models, Bayesian statistics, and causal inference to solve complex, data-driven problems</li>
<li>Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code</li>
<li>Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds</li>
</ul>
<p><b>Nice to Haves</b></p>
<ul>
<li>Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus</li>
<li>Familiarity with the digital media / advertising industry is a big plus.</li>
</ul>
<p><b>Compensation &amp; Benefits Summary</b></p>
<ul>
<li>Competitive salary, stock options, flexible vacation</li>
<li>Medical, dental and Flexible Spending Account (FSA)</li>
<li>Company Matched 401(k)</li>
<li>Unlimited PTO (Within reason)</li>
<li>Talented co-workers and management</li>
<li>Agile Development Program (For continued learning/professional development)</li>
<li>Paid Paternity &amp; Maternity Leave</li>
</ul>
<p>For candidates in California, Colorado, and New York City, Illinois, Minnesota, New Jersey, Vermont, Washington, and Massachusetts, the Targeted Base Salary Range for this role is $108,358 - $146,570. This role is also eligible for an 8% bonus based on achievement of company goals.</p>
<p>
Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket's total rewards package that also may include bonus, equity, and benefits. Ask your recruiter for more information!</p>
<p>
At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs.</p>
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#LI-Remote</p></div><p></p>

Data Scientist - Measurement

<div><div><div><div>United States - New York</div>
</div><div><div>Information Technology (IT)
</div></div><div><div>Group Functions
</div></div><div><p><b>Job Reference #</b></p>
<div>328483BR</div>
</div><div><p><b>City</b></p>
<div>New York</div>
</div><div><p><b>Job Type</b></p>
<div>Full Time
</div></div><div><p><b>Your role</b></p>
<div>UBS Business Solutions US LLC is seeking an Authorized Officer, Software Engineer in New York, NY.<br>
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Are you an innovative thinker? Are you focused on the details, even when under pressure? Do you enjoy delivering enhanced change capabilities across a range of business functions?<br>
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We&rsquo;re looking for an Authorized Officer, Software Engineer to:<br>
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<ul><li>Design, implement and maintain existing and upcoming automated data extraction related projects.
</li><li>Create, develop, and functionally manage the Retrieval Augmented Generation (RAG) based search and chat service.
</li><li>Research new RAG related tech stacks and implement source data indexing API.
</li><li>Generalize the indexing, search, and chat framework to enable seamless integration or migration to any internal data source.
</li><li>Maintain the entities matching pipeline application that is used for normalizing name entities in bank merging.
</li><li>Enhance the hybrid fuzzy matching model and tuning pipelines modules matching score thresholds for different data zones.
</li><li>Can work hybrid (In office-remote).</li></ul><br>
Qualified Applicants apply through SH-ProfRecruitingcc@ubs.com. Please reference 002389. NO CALLS PLEASE. EOE/M/F/D/V. #LI-DNI<br>
<br>
Salary &amp; Work Schedule: $125,000 to $145,000 Per Year, 40 hrs/wk. The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.<br>
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<br>
<br>
This notice is being posted in connection with an application for permanent Alien Labor Certification. Any person may comment or provide documentary evidence bearing on this application to: U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.<br>
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<br>
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<ul><li>LI-DNI
</li></ul></div></div><div><p><b>Your team</b></p>
<div>Diversity helps us grow, together. That&rsquo;s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.<br>
<br>
You&rsquo;ll be working in the GOTO Technology team in New York, NY.</div>
</div><div><p><b>Your expertise</b></p>
<div>Education &amp; Experience Requirement<br>
<br>
<ul><li>This position requires a Master's degree or foreign equivalent in Computer Science, or related field of study plus two (2) years of experience in the job offered or as a Data Scientist, Intern, or related occupation.</li></ul><br>
Position requires experience with the following:<br>
<br>
<ul><li>Python; Retrieval-Augmented Generation (RAG); Prompt Engineering and large language model (LLM)</li><li>Microsoft Azure Platforms including Azure Storage and Azure AI Search</li><li>Natural language processing with Machine learning and Deep learning; Shapley Values; CI/CD</li><li>Azure cloud environment; outlining and evaluating intrinsic and extrinsic metrics for model performance
</li><li>big data and scalable model training; developing and debugging production quality code</li><li>leveraging largescale computation, substantial datasets, and machine learning</li></ul></div>
</div><div><p><b>About us</b></p>
<div>UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.<br>
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We have a presence in all major financial centers in more than 50 countries.</div>
</div><div><p><b>How we hire</b></p>
<div>We may request you to complete one or more assessments during the application process. Learn more</div>
</div><div><p><b>Salary information</b></p>
<div>US Only: The expected salary range for this role is $125,000 to $145,000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see &laquo;Your role&raquo; section for detailed salary information.</div>
</div><div><p><b>Join us</b></p>
<div>At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.<br>
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We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.</div>
</div><div><p><b>Disclaimer / Policy statements</b></p>
<div>UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.</div></div></div></div><div></div>

Authorized Officer, Software Engineer

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