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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Condé Nast Salaries by Position

The New Yorker is a multi-platform media enterprise, spanning print, digital, audio, video, and live events. Founded in 1925, The New Yorker is considered by many to be the most influential magazine in the world, renowned for its in-depth reporting, political and cultural commentary, fiction, poetry, humor, and cartoons. In addition to the weekly print magazine, The New Yorker has become a daily digital destination for news and cultural coverage by its staff writers and other contributors. In print and online, The New Yorker stands apart for its commitment to truth and accuracy, for the quality of its prose, and its insistence on exciting and moving every reader. Location: New York, NY <h3>Job Description </h3>The Director of Analytics will provide strategic guidance to The New Yorker through in-depth analyses and reporting to key stakeholders across Editorial, Audience Development, Business Leadership, and more to help achieve audience and consumer goals for the magazine. The Director of Analytics will partner closely with these teams to develop and apply insights with the goal of deepening the brands’ relationship with the reader. They will also be responsible for evangelizing the use of analytics for insight-based business decisions, both strategic and tactical, while serving as the analytic subject matter expert to various levels of business stakeholders, including analysts at other Condé Nast brands. The ideal candidate will be someone who is highly quantitative, but also nimble and creative, with the ability to think critically and influence the decision-making process through data and testing. Curiosity, motivation, rigor, and expertise with digital analytics tools are a must; a love for the New Yorker brand is a plus. This position reports to the Senior Director of Audience Development and Analytics for The New Yorker . <h3>Responsibilities: </h3><ul><li>Collaborate with brand stakeholders to develop and execute data-driven audience and revenue growth plans across all content distribution platforms. </li><li>Use analytics to connect brand initiatives with larger company goals. </li><li>Work closely with senior leadership to optimize and develop content strategy for various platforms and communicate best practices with the goal of driving audience growth, engagement, and loyalty. </li><li>Analyze and provide recommendations on editorial programming and planning, department staffing levels, and budgeting. </li><li>Review, analyze, and report on confidential financial information and revenue data related to customer acquisition and retention. </li><li>Collaborate with business development to forecast long-term prospective investments, using confidential financial data to create accurate costs and revenue projections. </li><li>Manage and oversee junior members of the Audience Development and Analytics team. Responsible for hiring, training, and developing analysts at Condé Nast in new analysis techniques and skill sets. </li><li>Own The New Yorker’s full suite of dashboards and ongoing daily, weekly, and monthly reports. </li><li>Apply data mining and information-gathering techniques to identify and interpret patterns and trends in visitor and subscriber behavior on the website. </li><li>Work cross-functionally with consumer revenue and commercial teams to identify opportunities, execute brand initiatives, and maximize customer acquisition and retention, including visibility into confidential subscriber and revenue data. </li><li>Collaborate with product and engineering to test and measure the efficacy of product changes, The New Yorker’s app, and improve and QA analytics tools. </li><li>Work with leadership to determine and meet growth KPIs and ensure that they align with revenue strategy. </li><li>Additional duties as required, or as assigned by manager. </li> </ul><h3>Skills and Qualifications: </h3><ul><li>8+ years of experience in digital analytics at media company or digital advertising agency with a thorough understanding of online business models and strategies. </li><li>2+ years of experience managing a team of direct reports and hiring analysts. </li><li>Expert in writing SQL queries and building dashboards for stakeholders (Python a plus). </li><li>Proficiency in synthesizing, reporting, and analyzing data in spreadsheets (Google Sheets a plus). </li><li>Hands-on experience with reporting and analysis using a major web analytics tool such as Omniture, Google Analytics, Parsely, etc. </li><li>Hands-on experience QAing and validating data sets. </li><li>Hands-on experience managing digital audience acquisition programs. </li><li>Hands-on experience with subscription funnels and subscriber analytics. </li><li>Entrepreneurial, digitally savvy, creative and experimental in the approach to problem solving, with exceptional analytical and critical thinking skills. </li><li>Ability to clearly articulate and present initiatives to editorial and technical teams alike, and adept at communicating with and managing a variety of stakeholders. </li><li>Comfortable with statistical concepts. </li> </ul>The expected base salary range for this position is from $155,000-$180,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education. In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary bonus compensation. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics. #J-18808-Ljbffr

Conde Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Conde Nast Traveler/Traveller, Allure, AD, Bon Appetit and Wired, among others.<h3>Job Description</h3>Location: New York, NYConde Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting more than 100 million consumers across its industry-leading print, digital and video brands. Conde Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Conde Nast. Our mission is not only to inform readers but to ignite and nourish their passions.The Data Solutions Engineering team has a wide range of responsibilities and plays a critical role in shaping how Conde Nast enables its business using data. The team is responsible for building data pipelines, data products, and tools that enable our Data Scientists, Analysts in various business units, Business Intelligence Engineers, and Executives to solve challenging use cases in our industry.We are seeking a Data Engineer who will build and maintain data pipelines across business areas such as subscriptions, video, clickstream, commerce, social, and advertising within Conde Nast. If you are looking for a challenging environment and to work with a world-class team of data engineers in a well-balanced environment and seasoned company, come join us:<h3>Responsibilities</h3>Responsibilities include, but are not limited to:<ol><li>Design, build and test batch and streaming data pipelines</li><li>Build efficient code to transform raw data into datasets for analysis, reporting, and machine learning models</li><li>Work with data scientists to deploy machine learning model outputs into CEPs for recommendations and personalizations</li><li>Collaborate with other data engineers, data scientists, and product managers to implement a shared technical vision</li><li>Participate in the entire software development lifecycle, from concept to release</li><li>Contribute to shared data engineering tooling & standards to improve productivity</li><li>Support, monitor, and optimize current and future data infrastructure and platform</li><li>Provide technical guidance and mentorship to junior engineers</li><li>Evaluate technologies and conduct proof-of-concepts</li></ol><h3>Minimum Qualifications</h3><ol><li>Applicants should have a degree (B.S. or higher) in Computer Science or a related discipline or relevant professional experience</li><li>3+ years of software development experience designing scalable & automated software systems</li><li>Experience in processing structured and unstructured data into a form suitable for analysis and reporting</li><li>Experience with data modelling, batch data pipeline design, and implementation</li><li>Experience building batch or real-time data pipelines</li><li>Strong software development skills with high proficiency in Python/PySpark or Scala</li><li>High proficiency in SQL</li><li>Experience with data processing frameworks such as Apache Spark (we use Databricks)</li><li>Experience with data transformation tools such as dbt Cloud</li><li>Experience in cloud-based infrastructures such as AWS or GCP</li><li>Exposure to orchestration platforms such as Airflow (we use Astronomer)</li><li>Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team</li><li>Comfortable with CI/CD (we use GitHub Actions) Pipelines</li><li>Experience with Git version control, and other software adjacent tools</li></ol>NYC Pay Range: $140,000.00-155,000.00<h3>What happens next?</h3>If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.Conde Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
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Conde Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Conde Nast Traveler/Traveller, Allure, AD, Bon Appetit and Wired, among others.<h3>Job Description</h3>Location: New York, NYConde Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting more than 100 million consumers across its industry-leading print, digital and video brands. Conde Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Conde Nast. Our mission is not only to inform readers but to ignite and nourish their passions.The Data Solutions Engineering team has a wide range of responsibilities and plays a critical role in shaping how Conde Nast enables its business using data. The team is responsible for building data pipelines, data products and tools that enable our Data Scientists, Analysts in various business units, Business Intelligence Engineers and Executives to solve challenging use cases in our industry. We are seeking a Data Engineer who will build and maintain data pipelines across business areas such as subscriptions, video, clickstream, commerce, social and advertising within Conde Nast. If you are looking for a challenging environment and to work with a world-class team of data engineers in a well-balanced environment and seasoned company, come join us:<h3>RESPONSIBILITIES:</h3><ol><li>Design, build and test batch and streaming data pipelines capable of processing large volumes of data</li><li>Build efficient code to transform raw data into datasets for analysis, reporting and machine learning models</li><li>Collaborate with other data engineers to implement a shared technical vision</li><li>Participate in the entire software development lifecycle, from concept to release</li></ol><h3>MINIMUM QUALIFICATIONS:</h3><ol><li>Applicants should have a degree (B.S. or higher) in Computer Science or a related discipline or relevant professional experience</li><li>2.5+ years of distributed data processing experience designing scalable & automated software systems</li><li>Experience in processing structured and unstructured data into a form suitable for analysis and reporting</li><li>Experience with data modelling, batch data pipeline design and implementation</li><li>Experience building batch or real-time data pipelines</li><li>Proficiency in Python/PySpark or Scala</li><li>Proficiency in SQL</li><li>Experience with data processing frameworks such as Apache Spark (we use Databricks)</li><li>Experience in cloud-based infrastructures such as AWS or GCP</li><li>Exposure to orchestration platforms such as Airflow (we use Astronomer)</li><li>Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team</li><li>Comfortable with CI/CD (we use GitHub Actions) Pipelines</li><li>Experience with Git version control, and other software adjacent tools</li><li>Terraform is used as an Infra as service tool.</li></ol>Salary Range: $119K - $137K<h3>What happens next?</h3>If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.Conde Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
#J-18808-Ljbffr

The New Yorker is a multi-platform media enterprise, spanning print, digital, audio, video, and live events. Founded in 1925, The New Yorker is considered by many to be the most influential magazine in the world, renowned for its in-depth reporting, political and cultural commentary, fiction, poetry, humor, and cartoons. In addition to the weekly print magazine, The New Yorker has become a daily digital destination for news and cultural coverage by its staff writers and other contributors. In print and online, The New Yorker stands apart for its commitment to truth and accuracy, for the quality of its prose, and its insistence on exciting and moving every reader.
Location: New York, NY
Job Description  The Director of Analytics will provide strategic guidance to  The New Yorker  through in-depth analyses and reporting to key stakeholders across Editorial, Audience Development, Business Leadership, and more to help achieve audience and consumer goals for the magazine. The Director of Analytics will partner closely with these teams to develop and apply insights with the goal of deepening the brands’ relationship with the reader. They will also be responsible for evangelizing the use of analytics for insight-based business decisions, both strategic and tactical, while serving as the analytic subject matter expert to various levels of business stakeholders, including analysts at other Condé Nast brands. The ideal candidate will be someone who is highly quantitative, but also nimble and creative, with the ability to think critically and influence the decision-making process through data and testing. Curiosity, motivation, rigor, and expertise with digital analytics tools are a must; a love for the New Yorker brand is a plus.
This position reports to the Senior Director of Audience Development and Analytics for  The New Yorker .
Responsibilities:   Collaborate with brand stakeholders to develop and execute data-driven audience and revenue growth plans across all content distribution platforms.
Use analytics to connect brand initiatives with larger company goals.
Work closely with senior leadership to optimize and develop content strategy for various platforms and communicate best practices with the goal of driving audience growth, engagement, and loyalty.
Analyze and provide recommendations on editorial programming and planning, department staffing levels, and budgeting.
Review, analyze, and report on confidential financial information and revenue data related to customer acquisition and retention.
Collaborate with business development to forecast long-term prospective investments, using confidential financial data to create accurate costs and revenue projections.
Manage and oversee junior members of the Audience Development and Analytics team. Responsible for hiring, training, and developing analysts at Condé Nast in new analysis techniques and skill sets.
Own The New Yorker’s full suite of dashboards and ongoing daily, weekly, and monthly reports.
Apply data mining and information-gathering techniques to identify and interpret patterns and trends in visitor and subscriber behavior on the website.
Work cross-functionally with consumer revenue and commercial teams to identify opportunities, execute brand initiatives, and maximize customer acquisition and retention, including visibility into confidential subscriber and revenue data.
Collaborate with product and engineering to test and measure the efficacy of product changes, The New Yorker’s app, and improve and QA analytics tools.
Work with leadership to determine and meet growth KPIs and ensure that they align with revenue strategy.
Additional duties as required, or as assigned by manager.
Skills and Qualifications:   8+ years of experience in digital analytics at media company or digital advertising agency with a thorough understanding of online business models and strategies.
2+ years of experience managing a team of direct reports and hiring analysts.
Expert in writing SQL queries and building dashboards for stakeholders (Python a plus).
Proficiency in synthesizing, reporting, and analyzing data in spreadsheets (Google Sheets a plus).
Hands-on experience with reporting and analysis using a major web analytics tool such as Omniture, Google Analytics, Parsely, etc.
Hands-on experience QAing and validating data sets.
Hands-on experience managing digital audience acquisition programs.
Hands-on experience with subscription funnels and subscriber analytics.
Entrepreneurial, digitally savvy, creative and experimental in the approach to problem solving, with exceptional analytical and critical thinking skills.
Ability to clearly articulate and present initiatives to editorial and technical teams alike, and adept at communicating with and managing a variety of stakeholders.
Comfortable with statistical concepts.
The expected base salary range for this position is from $155,000-$180,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.
In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary bonus compensation.
Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

#J-18808-Ljbffr

Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Cond Nast Traveler/Traveller, Allure, AD, Bon Apptit and Wired, among others. Job Description Location: New York, NY Cond Nast is a premier media company renowned for producing the highest qualitycontent for the world's most influential audiences, attracting more than 100 million consumers across its industry-leading print, digital and video brands. Cond Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Cond Nast. Our mission is not only to inform readers but to ignite and nourish their passions. The Data Solutions Engineering team have a wide range of responsibilities and play a critical role in shaping how Cond Nast enables its business using data. The team is responsible for building data pipelines, data products and tools that enable our Data Scientists, Analysts in various business units, Business Intelligence Engineers and Executives to solve challenging use cases in our industry. We are seeking a Data Engineer who will build and maintain data pipelines across business areas such as subscriptions, video, clickstream, commerce, social and advertising within Cond Nast. If you are looking for a challenging environment and to work with a world class team of data engineers in a well balanced environment and seasoned company, come join us: RESPONSIBILITIES: •Design, build and test batch and streaming data pipelines capable of processing large volumes of data •Build efficient code to transform raw data into datasets for analysis, reporting and machine learning models •Collaborate with other data engineers to implement a shared technical vision •Participate in the entire software development lifecycle, from concept to release MINIMUM QUALIFICATIONS: •Applicants should have a degree (B.S. or higher) in Computer Science or a relateddiscipline or relevant professional experience •2.5+ years of distributed data processing experience designing scalable & automated software systems •Experience in processing structured and unstructured data into a form suitable for analysis and reporting •Experience with data modelling, batch data pipeline design and implementation •Experience building batch or real-time data pipelines •Proficiency in Python/PySpark or Scala •Proficiency in SQL •Experience with data processing frameworks such as Apache Spark (we use Databricks) •Experience in cloud-based infrastructures such as AWS or GCP •Exposure to orchestration platforms such as Airflow (we use Astronomer) •Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team •Comfortable with CI/CD (we use GitHub Actions) Pipelines •Experience with Git version control, and other software adjacent tools •Terraform is used Infra as service tool. Salay Range: $119K - $137K What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Cond Nast Traveler/Traveller, Allure, AD, Bon Apptit and Wired, among others. Job Description Location: New York, NY Cond Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting more than 100 million consumers across its industry-leading print, digital and video brands. Cond Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Cond Nast. Our mission is not only to inform readers but to ignite and nourish their passions. The Data Solutions Engineering team have a wide range of responsibilities and play a critical role in shaping how Cond Nast enables its business using data. The team is responsible for building data pipelines, data products and tools that enable our Data Scientists, Analysts in various business units, Business Intelligence Engineers and Executives to solve challenging use cases in our industry. We are seeking a Data Engineer who will build and maintain data pipelines across business areas such as subscriptions, video, clickstream, commerce, social and advertising within Cond Nast. If you are looking for a challenging environment and to work with a world class team of data engineers in a well balanced environment and seasoned company, come join us: RESPONSIBILITIES Responsibilities include, but are not limited to: •Design, build and test batch and streaming data pipelines •Build efficient code to transform raw data into datasets for analysis, reporting and machine learning models •Work with data scientists to deploy machine learning model outputs into CEPs for recommendations and personalizations •Collaborate with other data engineers, data scientists and product managers to implement a shared technical vision •Participate in the entire software development lifecycle, from concept to release •Contribute to shared data engineering tooling & standards to improve productivity •Support, monitor and optimize current and future data infrastructure and platform •Provide technical guidance and mentorship to junior engineers •Evaluate technologies and conduct proof-of-concepts MINIMUM QUALIFICATIONS •Applicants should have a degree (B.S. or higher) in Computer Science or a related discipline or relevant professional experience •3+ years of software development experience designing scalable & automated software systems •Experience in processing structured and unstructured data into a form suitable for analysis and reporting •Experience with data modelling, batch data pipeline design and implementation •Experience building batch or real-time data pipelines •Strong software development skills with high proficiency in Python/PySpark or Scala •High Proficiency in SQL •Experience with data processing frameworks such as Apache Spark (we use Databricks) •Experience with data transformation tools such as dbt Cloud •Experience in cloud-based infrastructures such as AWS or GCP •Exposure to orchestration platforms such as Airflow (we use Astronomer) •Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team •Comfortable with CI/CD (we use GitHub Actions) Pipelines •Experience with Git version control, and other software adjacent tools •NYC Pay Range: $140,000.00-155,000.00 What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

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