[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-257345-105":53,"doc-detail-257345-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","principal-data-scientist-job-description-applecart","Principal Data Scientist - Job Description - Applecart","","Applecart is hiring a Principal Data Scientist for its Research and Insights team in the NYC office. The role focuses on developing audience measurement metrics for programmatic advertising and social channels, and supporting the platform capabilities for targeting, advertising, and evaluating campaign impact. Responsibilities include building and modeling metrics with machine learning, statistics, surveys, and experiments; implementing cross-platform measurement and predictive products using campaign logs and audience data; validating models and integrating them into production systems. Hybrid work schedules apply, with compensation based on NYC experience.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":16,"@type":70,"position":76},"https://docshare.wps.com/template/resumes/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/principal-data-scientist-job-description-applecart/257345/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/principal-data-scientist-job-description-applecart/257345.png","ImageObject",442,249,{"name":88,"@type":89},"Stanford","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-21","2026-09-13",true,{"@type":98,"interactionType":99,"userInteractionCount":79},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the primary focus of the Principal Data Scientist role at Applecart?","Question",{"text":108,"@type":109},"Developing audience measurement metrics for programmatic advertising and social channels, and contributing to Applecart’s targeting, advertising, and campaign impact evaluation capabilities.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"Which tools and technical skills are required?",{"text":113,"@type":109},"Proficiency in Python (or R) and SQL, deep understanding of machine learning and statistics, and at least 7+ years of experience in data science/modeling and in digital advertising.",{"name":115,"@type":106,"acceptedAnswer":116},"What is the work schedule and compensation structure?",{"text":117,"@type":109},"It is a hybrid role: work from home on Monday and Friday, and in the New York City office Tuesday through Thursday. Compensation includes base salary, annual cash bonus, and equity; the base range is $175,000–$225,000 for NYC candidates.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},257345,1790673197,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":15,"category_name":16,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":79,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":76,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":9},2336477552062,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","______________________________________________________________  \nPrincipal Data Scientist  \nAbout Us  \nApplecart is the leading technology company creating a new category of “Decision Maker Marketing” The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart’s platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them.  \nWe are hiring a Principal Data Scientist in our NYC office.  \nAbout the Role:  \nAs a Principal Data Scientist on the Research and Insights team, you will collaborate with the VP of Data Science. Your primary focus will be on developing audience measurement metrics for programmatic advertising and social channels, contributing to Applecart's software platform for targeting, advertising, and evaluating the impact of campaigns.  \nKey responsibilities include building and modeling audience measurement metrics, implementing research for crossplatform audience measurement and predictive products using campaign logs and audience data to optimize audience construction.  \nWhat You’ll Do  \n● Develop and implement audience measurement metrics using machine learning algorithms, survey data, publicly available data, and experiments.  \n● Design, develop, and deploy advanced statistical models to enhance advertising campaign measurement, planning, and targeting accuracy.  \n● Lead the design and implementation of survey based approaches to build audience measurement metrics.  \n● Communicate analytical concepts and results clearly to stakeholders.  \n©2025 Project Applecart Copyright  \nThis document is considered confidential unless otherwise notified.  \n______________________________________________________________  \n● Ensure data integrity and accuracy through rigorous model testing and validation.  \n● Collaborate with engineering teams to integrate models into production systems for scalability and reliability.  \nExperiences and Capabilities You Bring:  \n● Degree in a quantitative discipline (e.g., mathematics, statistics, computer science) . An advanced degree is preferred but not required.  \n● Deep understanding of machine learning, statistics, and data science.  \n● 7+ years of experience in data science and/or modeling.  \n● 7+ years in digital advertising.  \n● Proficiency in Python (or R) and SQL.  \n● Proven experience in building audience metrics in digital advertising.  \nNice to Have Skills  \n● Familiarity with survey research for audience measurement.  \n● Strong experience in Spark is preferred.  \n● Expertise in data wrangling and debugging machine learning systems.  \n● Team-oriented, pragmatic, and able to build rapport.  \n● Strong communication, writing, and critical thinking skills.  \n● Experience in mentoring in data science, analytics, and predictive modeling.  \n● Familiarity with big data technologies (e.g., Snowflake, Databricks) and cloud platforms (e.g., AWS, GCP) is a plus.  \nThis is a hybrid role. Work from home on Monday and Friday and in Applecart’s New York City office Tuesday through Thursday.  \nCompensation:  \nOur compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compe","cbCaijIxJDRxbBwI","https://ap.wps.com/l/cbCaijIxJDRxbBwI","pdf",133115,"English","# About the Role\n## Key Responsibilities\n# What You’ll Do\n# Experiences and Capabilities You Bring\n## Nice to Have Skills\n# Work Arrangement and Compensation","[{\"question\":\"What is the primary focus of the Principal Data Scientist role at Applecart?\",\"answer\":\"Developing audience measurement metrics for programmatic advertising and social channels, and contributing to Applecart’s targeting, advertising, and campaign impact evaluation capabilities.\"},{\"question\":\"Which tools and technical skills are required?\",\"answer\":\"Proficiency in Python (or R) and SQL, deep understanding of machine learning and statistics, and at least 7+ years of experience in data science/modeling and in digital advertising.\"},{\"question\":\"What is the work schedule and compensation structure?\",\"answer\":\"It is a hybrid role: work from home on Monday and Friday, and in the New York City office Tuesday through Thursday. Compensation includes base salary, annual cash bonus, and equity; the base range is $175,000–$225,000 for NYC candidates.\"}]","Principal Data Scientist - Job Description - Applecart | PDF",1789313003]