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advertising account specialist Jobs in New York

advertising account specialist

assistant research scientist Jobs in New York

assistant research scientist

advertising research analyst

CELLA

<div>Location: New York, New York 
Job Type: Contract 
Compensation Range: $30 - 35 per hour 
 
We are looking for a Junior Advertising Research Analyst to support our clients Insights &amp; Measurement team for several global sporting events. In this role you will help conduct advertising and media research, gather insights about campaign performances and present your findings! 
 
Responsibilities:
<ul>
<li>Pull data and reports from dashboards across different digital, social, and streaming platforms.</li>
<li>Create clear presentations that cover campaign results and insights. Make recommendations for future campaigns based on findings.</li>
<li>Engage with stakeholders and vendors in order to gather campaign measurements and project updates.</li>
<li>Conduct research from 3 rd party platforms like Kantar, Dynata, EDO or others.</li>
</ul>
Qualifications:
<ul>
<li>1-3 years of experience within media/advertising/broadcast as a data researcher and analyst. Relevant internship experience will be considered.</li>
<li>Strong Excel skills; ability to format, create charts/graphs, pivot tables and formulas.</li>
<li>Demonstrated experience working with data analysis, interpretation and visualization (Excel).</li>
<li>Enthusiasm to learn new skills and support a collaborative team in a high-volume environment.</li> 
</ul>
JOBID: 102025-114001 
#LI-CELLA 
#LI-SA1 
#PL 
 
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. 
 
At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. 
 
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&amp;D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
 
 
This posting is open for thirty (30) days.</div>

ADVERTISING RESEARCH ANALYST

SEO Scholars

Title: Research Analyst Intern
 
Department: Research & Evaluation
 
Report to: Research Analyst, Research & Evaluation
 
Compensation: $22.00/hr
 
Location: Hybrid – 2 days/week in office
 
Start/End Date: January – May, 15 – 20 weeks
 
Hours: 
The Research Analyst Intern must commit to two (2) days a week in the office for approximately 20 hours per week. The Research & Evaluation team operates on a 10am-6pm office schedule. Depending on the team's needs, you will join us in person at SEO offices two days per week. You will work with your supervisor to determine your weekly schedule and will receive advance notice of any changes.
 
All candidates must be within commutable distance of SEO’s offices at 55 Exchange Place, New York, NY 10005, upon hire.
 
ABOUT SEO
 
Founded in 1963 during the Civil Rights Movement, SEO closes educational and career opportunity gaps for 7,000 ambitious young people annually.
 
Internship Overview
 
This is a project-based internship, where you will have the opportunity to work on real-world data challenges and develop your professional portfolio in service of our SEO Scholars outcomes: getting accepted into 4-year colleges and graduating with a bachelor's degree (https://www.seo-usa.org/scholars/).
 
As the Research Analyst Intern working under the Research & Evaluation (R&E) team, you will leverage various data sources and analytical techniques to extract insights, supporting the work of SEO Scholars’ New York, San Francisco, Guilford County, and Miami sites. You’ll work closely with the R&E team to make sense of key program data collected to support program evaluation and improvement through standard and ad-hoc analyses. The internship will culminate in a capstone project tailored to your skills and interests, where you’ll take ownership of a major initiative and showcase your contributions with a tangible deliverable, supported by the Research Analyst, Data Management Intern and the project team.
 
In this role, you will: 
Assist in preparing visualizations and reports for key stakeholders.
 Provide analysis to support academic program needs and improvements.
 Provide quality assurance in executive summaries, projects, forms, and presentations.
 Explore opportunities to streamline data processing and visualization through statistical computing software (R, Python, Stata)
 Participate in other special projects as needed.
 
Through this internship, you will have the opportunity to: 
Be a key player and contribute to multiple projects for various stakeholders.
 Manage one major project from start to finish (capstone)
 Work across multiple teams and provide input on a variety of data-related projects, and
 Improve your technical abilities in tools such as Python, R, SQL, Salesforce
 
Qualifications
 
Pursuing a Bachelor’s degree with a concentration in Economics, Psychology, Business, Data Analytics, Information Sciences or similar quantitative/qualitative background.
 Coursework in quantitative or qualitative research methods
 Comfortable using advanced Excel skills: e.g., complex formulas, pivot tables, and graphs
 Proficiency in a programming language (R/Python preferred)
 Knowledge of relational databases and SQL queries
 Excellent written and verbal communication skills to clearly communicate technical concepts
 Must be a reliable and responsible team member capable of employing best judgment while handling sensitive and confidential information.
 Meticulous attention to detail.
 Strong problem-solving skills.
 Solid verbal, written, and interpersonal communication skills.
 A deep connection to and curiosity for SEO's mission, vision, and core values.
 
This is a part-time, hybrid internship out of SEO's New York City office. Eligible candidates must be within a commutable distance of 55 Exchange Place, NY, NY 10005 upon hire. This position is a 15-20 hr/week commitment, from January – May 2025 (flexible).
 
COMPENSATION & BENEFITS
 
This position is benefits ineligible per local, state, and federal regulations.
 
The compensation listed in this posting reflects what SEO believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the applicant's skills, qualifications, and experience and the position's requirements, and SEO reserves the right to modify this pay range at any time.
 
EEOC Policy
 
At SEO we are committed to cultivating a team that embodies the backgrounds and experiences of the constituencies we serve and the communities we live in, and a workplace that reflects the impact we make in the world. Candidates from all communities – including people of color, women, members of the LGBTQIA+ Community, veterans, and people with disabilities are strongly encouraged to apply.
 
Equal Employment Opportunity is not just the law, it is our commitment.
 
Sponsors for Educational Opportunity is an Equal Opportunity/Affirmative Action Employer – M/F/D/V. We will consider all qualified applicants for employment regardless of race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, parental status, genetic information or characteristics, or any other legally protected status.
 
If you need accommodation while applying for a role with SEO, due to a disability, please email SEO Talent.
 
THE ORGANIZATION
 
Established in 1963 by Michael Osheowitz, SEO (Sponsors for Educational Opportunity), is an educational non-profit focused on improving outcomes for students from underserved backgrounds. For over 60 years, SEO has been an innovator in education, mentorship, and creating educational programs and opportunities that maximize the full potential of our participants. Each year SEO serves 7,000+ participants nationally, and the organization is widely recognized for developing best-in-class programs with exceptional results.
 
Not every SEO participant is on the same journey, but all are hungry for opportunity and SEO creates an ecosystem of excellence. Learn more about SEO's programs here: https://www.seo-usa.org/our-programs/

Research Analyst Intern

SEO (Sponsors for Educational Opportunity)

<div>Title: Research Analyst Intern

Department: Research &amp; Evaluation

Report to: Research Analyst, Research &amp; Evaluation

Compensation: $22.00/hr

Location: Hybrid &ndash; 2 days/week in office

Start/End Date: January &ndash; May, 15 &ndash; 20 weeks

Hours:

The Research Analyst Intern must commit to two (2) days a week in the office for approximately 20 hours per week. The Research &amp; Evaluation team operates on a 10am-6pm office schedule. Depending on the team's needs, you will join us in person at SEO offices two days per week. You will work with your supervisor to determine your weekly schedule and will receive advance notice of any changes.

All candidates must be within commutable distance of SEO's offices at 55 Exchange Place, New York, NY 10005, upon hire.

ABOUT SEO
Founded in 1963 during the Civil Rights Movement, SEO closes educational and career opportunity gaps for 7,000 ambitious young people annually.

Internship Overview

This is a project-based internship, where you will have the opportunity to work on real-world data challenges and develop your professional portfolio in service of our SEO Scholars outcomes: getting accepted into 4-year colleges and graduating with a bachelor's degree (https://www.seo-usa.org/scholars/).

As the Research Analyst Intern working under the Research &amp; Evaluation (R&amp;E) team, you will leverage various data sources and analytical techniques to extract insights, supporting the work of SEO Scholars' New York, San Francisco, Guilford County, and Miami sites. You'll work closely with the R&amp;E team to make sense of key program data collected to support program evaluation and improvement through standard and ad-hoc analyses. The internship will culminate in a capstone project tailored to your skills and interests, where you'll take ownership of a major initiative and showcase your contributions with a tangible deliverable, supported by the Research Analyst, Data Management Intern and the project team.

In this role, you will:
<ul>
<li>Assist in preparing visualizations and reports for key stakeholders.</li>
<li>Provide analysis to support academic program needs and improvements.</li>
<li>Provide quality assurance in executive summaries, projects, forms, and presentations.</li>
<li>Explore opportunities to streamline data processing and visualization through statistical computing software (R, Python, Stata)</li>
<li>Participate in other special projects as needed.</li>
</ul>
Through this internship, you will have the opportunity to:
<ul>
<li>Be a key player and contribute to multiple projects for various stakeholders.</li>
<li>Manage one major project from start to finish (capstone)</li>
<li>Work across multiple teams and provide input on a variety of data-related projects, and</li>
<li>Improve your technical abilities in tools such as Python, R, SQL, Salesforce</li>
</ul>
Qualifications
<ul>
<li>Pursuing a Bachelor's degree with a concentration in Economics, Psychology, Business, Data Analytics, Information Sciences or similar quantitative/qualitative background.</li>
<li>Coursework in quantitative or qualitative research methods</li>
<li>Comfortable using advanced Excel skills: e.g., complex formulas, pivot tables, and graphs</li>
<li>Proficiency in a programming language (R/Python preferred)</li>
<li>Knowledge of relational databases and SQL queries</li>
<li>Excellent written and verbal communication skills to clearly communicate technical concepts</li>
<li>Must be a reliable and responsible team member capable of employing best judgment while handling sensitive and confidential information.</li>
<li>Meticulous attention to detail.</li>
<li>Strong problem-solving skills.</li>
<li>Solid verbal, written, and interpersonal communication skills.</li>
<li>A deep connection to and curiosity for SEO's mission, vision, and core values.</li>
</ul>
This is a part-time, hybrid internship out of SEO's New York City office. Eligible candidates must be within a commutable distance of 55 Exchange Place, NY, NY 10005 upon hire. This position is a 15-20 hr/week commitment, from January &ndash; May 2025 (flexible).

 COMPENSATION &amp; BENEFITS
This position is benefits ineligible per local, state, and federal regulations.

The compensation listed in this posting reflects what SEO believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the applicant's skills, qualifications, and experience and the position's requirements, and SEO reserves the right to modify this pay range at any time.

EEOC Policy

At SEO we are committed to cultivating a team that embodies the backgrounds and experiences of the constituencies we serve and the communities we live in, and a workplace that reflects the impact we make in the world. Candidates from all communities &ndash; including people of color, women, members of the LGBTQIA+ Community, veterans, and people with disabilities are strongly encouraged to apply.

Equal Employment Opportunity is not just the law, it is our commitment.

Sponsors for Educational Opportunity is an Equal Opportunity/Affirmative Action Employer &ndash; M/F/D/V. We will consider all qualified applicants for employment regardless of race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, parental status, genetic information or characteristics, or any other legally protected status.

If you need accommodation while applying for a role with SEO, due to a disability, please email SEO Talent.

THE ORGANIZATION

Established in 1963 by Michael Osheowitz, SEO (Sponsors for Educational Opportunity), is an educational non-profit focused on improving outcomes for students from underserved backgrounds. For over 60 years, SEO has been an innovator in education, mentorship, and creating educational programs and opportunities that maximize the full potential of our participants. Each year SEO serves 7,000+ participants nationally, and the organization is widely recognized for developing best-in-class programs with exceptional results.

Not every SEO participant is on the same journey, but all are hungry for opportunity and SEO creates an ecosystem of excellence. Learn more about SEO's programs here: https://www.seo-usa.org/our-programs/</div>

Truist

<div>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<h3 class="jobSectionHeader">
Please review the following job description:</h3>
Publish proprietary equity research in industries aligned to the firm's Banking sectors exhibiting the firm's expertise in the sector.
ESSENTIAL DUTIES AND RESPONSIBILITIES 
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Creating and publishing proprietary equity research content in designated industry with stock recommendations (Buy, Hold, Sell) to institutional buy-side clients. 
2. Conduct due diligence and provide industry expertise for capital markets equity transactions and responsible for initiating C-suite corporate access resources to institutional equity clients. 
3. Responsible for initiating C-suite corporate access resources to institutional equity clients including non- deal roadshows, conferences, field trips, bus tours, and conference calls. 
4. Conduct independent industry assessments and company-specific research reports. 
5. Involvement with corporate client relationships at the highest C- Level (CEO, President, COO, CFO, Director of Strategy, etc) 
Level-specific duties:
1. Works closely with senior analyst in the research production process as well as with the supervisory analysts in the publication process. 
2. Conducts research at several levels: macro, industry and individual companies 
3. Builds models at the industry and company level, including market and market share forecasts, revenue, EPS, and cash flow forecasts at the company level. 
4. Conducts financial and valuation analyses. 
5. Formulates investment ideas. 
6. Writes draft research commentary. 
7. Depending on experience and the needs of the individual analyst, may work closely with Capital Markets, sales, and trading to help leverage the analyst's research product into the institutional client base. 
8. Depending on experience of the Associate and the needs of the individual senior analyst, may maintain active dialog with representatives of covered companies. 
9. May work closely with institutional buyside clients to help leverage the analyst's research product, depending on experience and the needs of the individual analyst. 
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. BA/BS degree 
2. Licenses Required: the SIE and the 7 Top Off (or Series 7 for those licensed prior to October 2019), Series 63, Series 87 and either the Series 86 or a FINRA waiver for those who have completed CFA II. 
3. Minimum of 4 years of related work experience 
4. Mastery of financial and accounting concepts to facilitate the creation of in-depth financial models. 
5. Advanced written and oral communication skills and teaming ability. 
6. Strong analytical and sales skills 
7. Proven ability to work well in a fast-paced, team-oriented environment
Preferred Qualifications:
1. Working towards CFA Designation. 
2. 4+ years of related work related experience<ul><li> 
The annual base salary for this position in New York is $160,000</li></ul>
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>

Equity Research Associate - Software

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</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.
 
 
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. 
 
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! 
 
Key job responsibilities 
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: 
 
<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> 
A day in the life 
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. 
 
About the team 
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. 
 
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">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 8+ 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>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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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, Sponsored Products and Brands Off-Search

<div><h2 class="jobSectionHeader">DESCRIPTION</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.
 
 
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. 
 
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! 
 
Key job responsibilities 
<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">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
 
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

Taboola

<div>Realize your potential by joining the leading performance-driven advertising company!

As a People Analyst on the People Analytics team in our New York office you'll play a vital role in shaping the future of HR through data-driven insights. You will transform people operations into a strategic center of insight, turning complex data into actionable recommendations that impact decision-making across the global organization, directly influencing senior leadership and business outcomes.

To thrive in this role, you'll need:
<ul>
<li>4+ years of professional experience managing complex analytical projects and delivering business value.</li>
<li>Hands-on experience with SQL.</li>
<li>Advanced Excel and/or Google Sheets skills.</li>
<li>Proficiency with data visualization tools (e.g., Tableau, Power BI).</li>
<li>Strong familiarity with HR data, systems, and processes.</li>
<li>Ability to translate business needs into technical solutions for non-technical stakeholders.</li>
</ul>
Bonus points if you have:
<ul>
<li>Exposure to Generative AI applications in data/analytics use cases.</li>
<li>Experience with statistical analysis (R is a plus).</li>
</ul>
How you'll make an impact:
<ul>
<li>Partner with global team members to build and maintain essential KPI reports and dashboards for HR, Finance, and business leaders.</li>
<li>Lead global HR data analysis and benchmarking initiatives.</li>
<li>Manage and prioritize a mix of recurring and ad hoc analytics projects.</li>
<li>Translate complex data into meaningful insights and actionable recommendations for senior leadership.</li>
<li>Support the automation of reporting and HR processes to improve efficiency.</li>
<li>Collaborate closely with cross-functional teams, including HRBPs, Finance and IT to understand business needs, align on goals, and deliver analytics solutions that drive impact.</li>
<li>Contribute to the implementation of AI-driven initiatives in the People Analytics space, including evaluating use cases, supporting model development, and ensuring responsible deployment.</li>
</ul>
Why Taboola?

If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:
<ul>
<li>Adam Singolda, Taboola Founder and CEO says; &quot;You can copy anything from another business but you can't copy a company's culture.&quot;</li>
<li>Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen and various gym partnerships.</li>
<li>Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.</li>
<li>Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.</li>
</ul>
Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, &amp; the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

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