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search engine optimization specialist

search specialist, gtech ads solutions Jobs in Bangalore Jobs In Mangaluru India

search specialist, gtech ads solutions

search specialist gtech ads solutions

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience working with digital media or digital marketing/advertising solutions, implementing and measuring campaigns and providing client solutions.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience in marketing measurement and data analysis.
 </li>
 <li>
 Knowledge of Search products, the performance advertising market or online ads landscape.
 </li>
 <li>
 Familiarity with marketing measurement techniques, including incrementality testing, media mix modeling, and attribution modeling.
 </li>
 <li>
 Ability to work cross-functionally with multiple teams and stakeholders, and excellent relationship building, collaboration, negotiation, and influence skills.
 </li>
 <li>
 Effective project management skills with the ability to oversee multiple, simultaneous solutions, supported by internal teams.
 </li>
 <li>
 Proficient in interpreting complex datasets, identifying trends, and translating findings into compelling narratives.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
 
 
 Google creates products and services that make the world a better place, and gTech&rsquo;s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers&rsquo; complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
 
 
 To learn more about gTech, check out our video .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Become a trusted advisor to priority Google Ads clients by understanding how digital marketing and technology solutions can address their business challenges, acting as a collaborative and inclusive thought partner, architecting media plans and effectively delivering on complex technical solutions to accomplish their business goals.
 </li>
 <li>
 Partner effectively and build relationships with external advertisers to unlock business outcomes powered by Google Ads campaigns, driving product adoption and revenue growth across business lifecycle.
 </li>
 <li>
 Collaborate effectively with vendors and sales teams to drive growth plans for clients. Develop and apply knowledge of market and a competitive environment for vertical and sub-verticals in solutions offered.
 </li>
 <li>
 Serve as the customer's Search product expert by successfully delivering consultative digital marketing solutions that not only address a complex customer challenge, but also advance a customer's sophistication and digital maturity level on Search.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Search Specialist, gTech Ads Solutions

Wayfair

<div>
 
 
 Who We Are
 
 
 
 Wayfair&rsquo;s Advertising business is rapidly expanding, adding hundreds of millions of dollars in
 
 
 profits to Wayfair. We are building Sponsored Products, Display &amp; Video Ad offerings that cater
 
 
 to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of
 
 
 customers. We are evolving our Ads Platform to empower advertisers across all sophistication
 
 
 levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the
 
 
 art Machine Learning techniques.
 
 
 
 
 
 The
 
 Advertising Optimization &amp; Automation Science
 
 team is central to this effort. We
 
 
 leverage machine learning and generative AI to streamline campaign workflows, delivering
 
 
 impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU
 
 
 selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.
 
 
 
 
 
 We are looking for seasoned ML Scientists to join the
 
 Advertising Optimization &amp; Automation Science
 
 team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair&rsquo;s revenue.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations.
 </li>
 <li>
 Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.
 </li>
 <li>
 Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions
 </li>
 <li>
 Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services
 </li>
 <li>
 Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?)
 </li>
 <li>
 Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
 </li>
 <li>
 Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll need
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field.
 </li>
 <li>
 6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.
 </li>
 <li>
 Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc.
 </li>
 <li>
 Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.
 </li>
 <li>
 Proficiency in Python or one other high-level programming language
 </li>
 <li>
 Solid hands-on expertise deploying machine learning solutions into production
 </li>
 <li>
 Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).
 </li>
 <li>
 Experience in computational advertising, bidding algorithms, or search ranking
 </li>
 <li>
 Experience with deep learning frameworks like PyTorch, Tensorflow, etc.
 </li>
 </ul>
</div>

Lead Data Scientist

<div>
 
 
 
 About ONE Championship
 
 
 
 
 ONE Championship is Asia&rsquo;s largest global sports media property, and the world&rsquo;s largest martial arts organization, hosting bouts across all styles of martial arts such as Muay Thai, Kickboxing, MMA, Grappling, etc. In addition to its digital platforms, ONE Championship broadcasts to over 2.6 billion potential viewers across 190 countries around the world with some of the largest global broadcasters, including Amazon Prime Video Sports, Globo&rsquo;s Combate, Channel 7 HD, beIN Sports, Abema, Disney+ Hotstar, and more.
 
 
 
 
 
 
 
 Overview
 
 
 
 
 As part of the Content Marketing team at ONE Championship, the SEO Specialist will be responsible for leading the company&rsquo;s SEO strategy by researching trends and analyzing data to increase search traffic and brand awareness across all digital platforms.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Owns the vision, strategy, and roadmap for SEO &amp; content globally and ensures strategic direction is aligned to the Company&rsquo;s organizational and business goals
 </li>
 <li>
 Spearhead the execution of all activities of the SEO department and be accountable for performance of optimized content
 </li>
 <li>
 Be an in-house SEO expert, monitoring trends on best practices and any changes in the search space, ensuring high search rankings and promoting organic views
 </li>
 <li>
 Establish clear performance indicators and deliver leadership updates
 </li>
 <li>
 Identify and evaluate acquisitions to improve the global SEO footprint
 </li>
 <li>
 Guide the content team to ensure site content is engaging and shareable; recommend content approaches to gain natural attribution from authority sites
 </li>
 <li>
 Work closely with the Analytics &amp; Insights team and proactively provide analytics and key findings to tailor strategies
 </li>
 <li>
 Collaborate on the strategy and approach for PR and social
 </li>
 <li>
 Work with Product &amp; Marketing to improve the conversion rate for organic traffic
 </li>
 <li>
 Adopt a hands-on approach in building up the SEO team from scratch; attract, recruit, and provide leadership and guidance to the department
 </li>
 </ul>
 
 
 
 
 
 Experience/Skills Required:
 
 
 <ul>
 <li>
 3+ years of experience successfully developing and executing SEO strategy
 </li>
 <li>
 Strong understanding of search engine algorithms and ranking methods
 </li>
 <li>
 Experience with SEO tools like Google Analytics and MS Suite
 </li>
 <li>
 Outstanding written and verbal communication skills
 </li>
 <li>
 Fanatical attention to detail and accuracy in reporting
 </li>
 <li>
 Strong organizational skills to manage workflow and meet deadlines
 </li>
 <li>
 Knowledge of combat sports or sports media industry is preferred
 </li>
 </ul>
</div>

Search Engine Optimization Specialist

Eightfold AI

<div>
 Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who the individuals are and the strength of their network, vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals as well as how jobs and career decisions are made. Eightfold offers the industry&rsquo;s first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers.
 
 
 To date, Eightfold AI has received more than $410 million in funding and a valuation of over $2B from leading investors to further our mission of finding the right career for everyone in the world. If you are passionate about solving one of the most fundamental challenges of our society - employment, working on hard business problems, and being part of an amazing growth story - Eightfold is the place to be!
 
 
 You may want to refer to the media coverage on TechCrunch and Reuters.
 
 
 Eightfold.ai is led by Ashutosh Garg, a PhD in Machine Learning/IIT Delhi alumni who managed Search and Personalization at Google, and Varun Kacholia-IIT Bombay alumni, who led the News Feed Ranking team at Facebook and developed YouTube Search at Google.
 
 
 Our customers
 
 
 Press
 
 
 
 About The Role
 
 
 
 We are seeking a highly organized, detail-oriented, and proactive Staff People Operations Specialist to drive efficiency and compliance within our global People Operations function. This multifaceted role will be instrumental in managing key projects related to technology implementation, automation initiatives, global compliance, system integrations, and policy management. You will be a key contributor in streamlining our HR processes, ensuring adherence to global regulations, and enhancing the overall employee experience. This role requires strong project management skills, a technical aptitude, and a passion for creating scalable and compliant HR solutions. The role will be required to support GMT timezone.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Project Management for Special Projects: Lead and manage a variety of special projects within People Operations, ensuring clear objectives, timelines, resource allocation, and successful execution.
 </li>
 <li>
 Project Management for Automation: Identify, scope, and manage automation projects across HR processes to improve efficiency, accuracy, and reduce manual effort. This includes evaluating automation tools, collaborating with relevant teams, and overseeing implementation.
 </li>
 <li>
 Global Compliance: Proactively identifying compliance requirements and implementing necessary processes and controls across all regions.
 </li>
 <li>
 Global Entity Set Up: Manage the HR aspects of setting up new legal entities globally, including understanding local requirements, coordinating with legal and finance teams, and ensuring HR systems and processes are in place.
 </li>
 <li>
 System Integrations: Lead and support HRIS and other HR technology system integration projects, ensuring seamless data flow and optimal functionality across platforms.
 </li>
 <li>
 Policy Review &amp; Management: Regularly review, update, and maintain global and local HR policies, ensuring they are legally compliant, consistently applied, and effectively communicated to employees.
 </li>
 <li>
 Internal Intranet: Develop and maintain a comprehensive and well-organized HR knowledge base on internal intranet, ensuring easy access to policies, procedures, and relevant information for employees and HR team members.
 </li>
 <li>
 HRIS Implementation &amp; Optimization: Participate in the implementation of new HRIS modules or systems and drive the optimization of existing HR technology to enhance efficiency and data accuracy.
 </li>
 <li>
 ROW Vendor Management: Manage relationships with HR-related vendors supporting our ROW employees, including payroll providers, benefits administrators, and other relevant service providers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of relevant work experience in a People Ops or HR Specialist role
 </li>
 <li>
 Proven experience in project management, preferably within an HR context.
 </li>
 <li>
 Strong understanding of HR processes and best practices.
 </li>
 <li>
 Experience with HRIS systems
 </li>
 <li>
 Familiarity with automation tools and a passion for leveraging AI and technology to improve HR efficiency.
 </li>
 <li>
 Knowledge of global compliance requirements and experience implementing compliant HR processes across different regions.
 </li>
 <li>
 Experience with global entity setup from an HR perspective is a plus.
 </li>
 <li>
 Excellent organizational skills, attention to detail, and the ability to manage multiple projects simultaneously.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 <li>
 Problem-solving skills and the ability to identify and implement solutions.
 
 
 </li>
 </ul>
 
 Hybrid Work @ Eightfold:
 
 We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting May 1st, 2025, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office three times a week.
 
 
 Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status.
 
 
 ﻿Experience our comprehensive benefits with family medical, vision, and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.
</div>

Lead People Operations Generalist

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
 </li>
 <li>
 5 years of experience managing projects and defining project scope, goals, and deliverables.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.)
 </li>
 <li>
 5 years of experience in a large-scale data analysis or data science setting, including abuse and fraud disciplines, with a focus on web security, harmful content moderation and threat analysis.
 </li>
 <li>
 Experience in scripting languages (e.g., C/C++) with proficiency in programming languages (e.g., Python, Julia) and database languages like SQL.
 </li>
 <li>
 Experience with prompt engineering and fine-tuning LLMs.
 </li>
 <li>
 Proficiency in applying machine learning techniques to large datasets.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what&rsquo;s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
 
 
 The AI Safety Protections team within Trust and Safety develops and implements cutting-edge AI/LLM-powered solutions to ensure the safety of generative AI across Google's products. This includes safeguards for consumer products, enterprise offerings (Vertex AI), on-device applications, as well as foundational models (Gemini, Juno, Veo) in collaboration with Google DeepMind. We are a team of passionate data scientists and machine learning experts dedicated to mitigating risks associated with generative AI, and addressing real-world safety with LLM/AI technology (e.g., imminent threat, child safety).
 
 
 As a member of our team, you will have the opportunity to apply the latest advancements in AI/LLM, work with teams developing cutting-edge AI technologies, as well as protecting the world from real-world harms.
 
 
 This role works with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
 </li>
 <li>
 Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
 </li>
 <li>
 Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including executive leadership.
 </li>
 <li>
 Develop automated data pipelines and self-service dashboards to provide timely insights at scale.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

AI Safety Data Scientist

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About The Role
 
 
 
 We&rsquo;re on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies.
 
 
 We&rsquo;re looking for a Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization&mdash;someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products.
 
 
 In this high-agency, startup-like role, you&rsquo;ll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Define &amp; Implement Product Knowledge Strategy &ndash; Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams.
 </li>
 <li>
 Drive AI-Powered Taxonomy &amp; Ontology Development &ndash; Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models.
 </li>
 <li>
 Improve Search &amp; Product Discovery &ndash; Ensure our structured product data directly enhances search relevance, filtering, and recommendation algorithms.
 </li>
 <li>
 Develop &amp; Enforce Data Standards &ndash; Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog.
 </li>
 <li>
 Enable LLMs for Product Knowledge &ndash; Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment.
 </li>
 <li>
 Measure &amp; Iterate &ndash; Define key metrics and evaluation frameworks to track the impact of structured data improvements on search, recommendations, and personalization.
 </li>
 <li>
 Deeply Integrate with AI/ML Teams &ndash; Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Product Leadership in Data/AI &ndash; 10+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems.
 </li>
 <li>
 AI &amp; Data Fluency &ndash; Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes.
 </li>
 <li>
 Taxonomy &amp; Ontology Expertise &ndash; Strong understanding of product classification, metadata structuring, and entity resolution techniques.
 </li>
 <li>
 Search &amp; Discovery Focus &ndash; Experience optimizing product search, recommendations, and structured navigation.
 </li>
 <li>
 Technical Comfort &ndash; Familiarity with SQL, APIs, data pipelines, and AI/ML workflows.
 </li>
 <li>
 High-Agency &amp; Execution-Driven &ndash; Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast.
 </li>
 <li>
 Strong Analytical &amp; Communication Skills &ndash; Ability to translate data-driven insights into clear product strategies.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Shape the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development.
 </li>
 <li>
 Work in a high-agency, startup-like culture where your decisions directly impact millions of users.
 </li>
 <li>
 Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce.
 </li>
 <li>
 Drive innovations that enhance search, personalization, sellingg and product discovery.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Group PM - Product Knowledge

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About Team And Role
 
 
 
 We&rsquo;re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us, do it.
 
 
 This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering&mdash;ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.
 
 
 You&rsquo;ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.
 
 
 This is a high-agency, startup-style role&mdash;if you thrive in fast-moving, product-focused environments and love working closely with AI/ML, Product, and Engineering teams, this is for you.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Analyze &amp; Optimize eCommerce Product Data &ndash; Run deep SQL &amp; Python analyses to find opportunities in taxonomy, ontology, and structured data for search &amp; discovery improvements.
 </li>
 <li>
 Leverage LLMs for Analytical Solutions &ndash; Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.
 </li>
 <li>
 Evaluate &amp; Improve AI/ML Models &ndash; Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
 </li>
 <li>
 Drive Insights &amp; Strategy &ndash; Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development.
 </li>
 <li>
 Integrate with AI/ML Teams &ndash; Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.
 </li>
 <li>
 Prototype and Experiment &ndash; Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 4 Years experience in analytics, data science role
 </li>
 <li>
 Strong Data &amp; Analytics Skills &ndash; Proficiency in SQL &amp; Python for data wrangling, analytics, and automation.
 </li>
 <li>
 Product Analytics Attitude &ndash; Familiarity with eCommerce search, recommendations, and knowledge graph applications
 </li>
 <li>
 Strong Communication &ndash; Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
 </li>
 <li>
 AI/LLM Experience &ndash; Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
 </li>
 <li>
 Model Evaluation Know-How &ndash; Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models..
 </li>
 <li>
 Startup DNA &ndash; High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Build the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Move fast &amp; own impactful projects in a startup-like, high-agency culture.
 </li>
 <li>
 Work directly with AI, Data Science, and Product teams to shape taxonomy &amp; ontology strategies.
 </li>
 <li>
 Get hands-on with AI/ML in a real-world, high-scale environment.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Data Scientist, Knowledge Management

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