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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?

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

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

Pixalate Salaries by Position

Senior Data Scientist - Ad Tech Fraud Detection & Prevention with AI/ML Focus and Privacy Expertise Employment Type: Full-Time Location: Hybrid in the DMV Metro Area Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including: <ul><li><a >Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says </a> </li><li><a >Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV </a> </li><li><a >Washington Post: Your kids’ apps are spying on them </a> </li><li><a >Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire </a> </li><li><a >ABC7 News: The State of Children's Privacy Online </a> </li><li><a >NBC News: How many apps are tracking your children </a> </li> </ul>Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore. <h3>ABOUT THE ROLE </h3>In this role, you will collaborate closely with data scientists, big data engineers, product managers, and marketers, as well as legal, engineering, marketing, sales, and customer success teams. You will analyze large datasets, develop AI/ML algorithms, and derive insights to address complex business problems in fraud detection/prevention and advertising data analytics, while ensuring compliance with global privacy and data protection laws. As the ad tech industry undergoes a major shift towards greater transparency and protection against fraud, Pixalate is uniquely positioned as the first MRC-accredited, omni-channel fraud protection provider focused on reducing fraud, not just measuring it. <h3>QUALIFICATION </h3><ul><li>BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields </li><li>4+ years of professional experience in data science, solving complex problems with a focus on AI/ML techniques and privacy expertise </li><li>Experience in implementing AI/ML algorithms, including deep learning and reinforcement learning models, while ensuring compliance with privacy and data protection laws </li><li>Ability to work independently and solve complex problems with minimal supervision </li><li>Strong critical thinking and ability to generate intuitive conclusions from complex datasets </li><li>Excellent verbal and written communication skills, with a high attention to detail </li><li>Proficiency in SQL and Python (experience with R is a plus) </li><li>Solid understanding of machine learning algorithms, basic probability, and statistics </li><li>Familiarity with AI/ML tools and frameworks (e.g., OpenAI, ChatGPT, TensorFlow, PyTorch, Keras) </li><li>Familiarity with online advertising, advertising fraud, and global privacy and data protection laws, with a focus on European privacy and data protection laws and regulations </li> </ul><ul><li>Preferred: MS or PhD degree in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative fields with a focus on AI/ML and privacy expertise </li><li>Preferred: Familiarity with Amazon AWS, UNIX CLI, and programming in Scala, Java, and/or C/C++ (a plus) </li><li>Preferred: Experience providing thought leadership in privacy and data protection, particularly in the context of the European regulatory landscape and beyond </li><li>Preferred: Proven track record of integrating privacy-by-design principles into data science projects and products </li><li>Preferred: Knowledge of de-identification, anonymization, and pseudonymization techniques for data processing and analysis </li><li>Preferred: Familiarity with privacy-enhancing technologies (PETs) and their applications in AI/ML projects </li><li>Preferred: Experience working with data protection authorities and managing data protection impact assessments (DPIAs) in a data-driven organization </li><li>Preferred: Strong understanding of GDPR, ePrivacy, and other relevant privacy and data protection legislation, as well as global privacy frameworks and best practices </li> </ul><h3>RESPONSIBILITIES </h3><ul><li>Serve as a subject matter expert on privacy and data protection, working closely with legal, engineering, data science, marketing, sales, and customer success teams to enhance privacy-related services and identify customer needs </li><li>Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models while adhering to privacy regulations </li><li>Research and implement state-of-the-art AI/ML algorithms to stay ahead of emerging fraud patterns and trends, maintaining compliance with privacy laws and regulations </li><li>Provide technical support for existing products by resolving complex client issues through coordinated tickets and data analysis </li><li>Identify new types of fraud and develop early detection/prevention algorithms using AI/ML techniques </li><li>Create visualizations, document methodologies, and effectively communicate research insights to product management and marketing teams, while maintaining privacy compliance </li><li>Automate report generation for recurring requests using scripts </li><li>Develop and test statistical hypotheses to support data-driven decision-making </li><li>Collaborate with data scientists, analysts, product managers, and engineers to apply quantitative data analysis expertise and create AI/ML-driven innovative solutions, ensuring privacy and data protection compliance </li><li>Stay up-to-date with the latest advancements in AI/ML, privacy regulations, and industry trends to inform data science strategy and approach </li><li>Mentor and guide junior data scientists and engineers, sharing knowledge and fostering a culture of learning and growth </li> </ul><h3>BENEFITS </h3>We focus on doing things differently and challenge each other to be the best we can be. <ul><li>Generous benefits package including 25 days holiday plus Bank holidays </li><li>Defined contribution Pension scheme </li><li>Monthly internet reimbursement </li><li>Casual, remote work environment </li><li>Hybrid, flexible hours </li><li>Opportunity for advancement </li><li>Fun annual team events </li><li>Being part of a high performing team that wants to win and have fun doing it </li><li>Extremely competitive compensation </li> </ul>#J-18808-Ljbffr

Senior Data Scientist - Ad Tech Fraud Detection & Prevention with AI/ML Focus and Privacy Expertise
Employment Type: Full-Time
Location: Hybrid in the DMV Metro Area
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.
Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:
<ul>
<li><a href="#">Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</a></li>
<li><a href="#">Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</a></li>
<li><a href="#">Washington Post: Your kids’ apps are spying on them</a></li>
<li><a href="#">Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire</a></li>
<li><a href="#">ABC7 News: The State of Children's Privacy Online</a></li>
<li><a href="#">NBC News: How many apps are tracking your children</a></li>
</ul>
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.
<h3>ABOUT THE ROLE</h3>
In this role, you will collaborate closely with data scientists, big data engineers, product managers, and marketers, as well as legal, engineering, marketing, sales, and customer success teams. You will analyze large datasets, develop AI/ML algorithms, and derive insights to address complex business problems in fraud detection/prevention and advertising data analytics, while ensuring compliance with global privacy and data protection laws. As the ad tech industry undergoes a major shift towards greater transparency and protection against fraud, Pixalate is uniquely positioned as the first MRC-accredited, omni-channel fraud protection provider focused on reducing fraud, not just measuring it.
<h3>QUALIFICATION</h3>
<ul>
<li>BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields</li>
<li>4+ years of professional experience in data science, solving complex problems with a focus on AI/ML techniques and privacy expertise</li>
<li>Experience in implementing AI/ML algorithms, including deep learning and reinforcement learning models, while ensuring compliance with privacy and data protection laws</li>
<li>Ability to work independently and solve complex problems with minimal supervision</li>
<li>Strong critical thinking and ability to generate intuitive conclusions from complex datasets</li>
<li>Excellent verbal and written communication skills, with a high attention to detail</li>
<li>Proficiency in SQL and Python (experience with R is a plus)</li>
<li>Solid understanding of machine learning algorithms, basic probability, and statistics</li>
<li>Familiarity with AI/ML tools and frameworks (e.g., OpenAI, ChatGPT, TensorFlow, PyTorch, Keras)</li>
<li>Familiarity with online advertising, advertising fraud, and global privacy and data protection laws, with a focus on European privacy and data protection laws and regulations</li>
</ul>
<ul>
<li>Preferred: MS or PhD degree in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative fields with a focus on AI/ML and privacy expertise</li>
<li>Preferred: Familiarity with Amazon AWS, UNIX CLI, and programming in Scala, Java, and/or C/C++ (a plus)</li>
<li>Preferred: Experience providing thought leadership in privacy and data protection, particularly in the context of the European regulatory landscape and beyond</li>
<li>Preferred: Proven track record of integrating privacy-by-design principles into data science projects and products</li>
<li>Preferred: Knowledge of de-identification, anonymization, and pseudonymization techniques for data processing and analysis</li>
<li>Preferred: Familiarity with privacy-enhancing technologies (PETs) and their applications in AI/ML projects</li>
<li>Preferred: Experience working with data protection authorities and managing data protection impact assessments (DPIAs) in a data-driven organization</li>
<li>Preferred: Strong understanding of GDPR, ePrivacy, and other relevant privacy and data protection legislation, as well as global privacy frameworks and best practices</li>
</ul>
<h3>RESPONSIBILITIES</h3>
<ul>
<li>Serve as a subject matter expert on privacy and data protection, working closely with legal, engineering, data science, marketing, sales, and customer success teams to enhance privacy-related services and identify customer needs</li>
<li>Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models while adhering to privacy regulations</li>
<li>Research and implement state-of-the-art AI/ML algorithms to stay ahead of emerging fraud patterns and trends, maintaining compliance with privacy laws and regulations</li>
<li>Provide technical support for existing products by resolving complex client issues through coordinated tickets and data analysis</li>
<li>Identify new types of fraud and develop early detection/prevention algorithms using AI/ML techniques</li>
<li>Create visualizations, document methodologies, and effectively communicate research insights to product management and marketing teams, while maintaining privacy compliance</li>
<li>Automate report generation for recurring requests using scripts</li>
<li>Develop and test statistical hypotheses to support data-driven decision-making</li>
<li>Collaborate with data scientists, analysts, product managers, and engineers to apply quantitative data analysis expertise and create AI/ML-driven innovative solutions, ensuring privacy and data protection compliance</li>
<li>Stay up-to-date with the latest advancements in AI/ML, privacy regulations, and industry trends to inform data science strategy and approach</li>
<li>Mentor and guide junior data scientists and engineers, sharing knowledge and fostering a culture of learning and growth</li>
</ul>
<h3>BENEFITS</h3>
We focus on doing things differently and challenge each other to be the best we can be.
<ul>
<li>Generous benefits package including 25 days holiday plus Bank holidays</li>
<li>Defined contribution Pension scheme</li>
<li>Monthly internet reimbursement</li>
<li>Casual, remote work environment</li>
<li>Hybrid, flexible hours</li>
<li>Opportunity for advancement</li>
<li>Fun annual team events</li>
<li>Being part of a high performing team that wants to win and have fun doing it</li>
<li>Extremely competitive compensation</li>
</ul>
#J-18808-Ljbffr

Employment Type: Full-Time Location: Hybrid in McLean, VA (Must be in commutable distance to the McLean, VA office) Minimum Experience: 3+ years About Us: Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. As the market-leading fraud protection, privacy, and compliance analytics platform for Websites, Connected TV (CTV) and Mobile Advertising. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including: <ul><li>Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</li><li>Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</li><li>Washington Post: Your kids' apps are spying on them</li><li>Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google's Black Box Ad Empire</li><li>ABC7 News: The State of Children's Privacy Online</li><li>NBC News: How many apps are tracking your children</li></ul> Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC , London and Singapore. Role Overview: We are seeking a passionate and talented Software Engineer with a specialization in JavaScript. The ideal candidate will have a deep understanding of web technologies, including browser behaviors, DOM manipulation, and video players. Experience in ad tech is a significant bonus. This role will involve working with the Open Measurement Software Development Kit (OMSDK), and various other Javascript frameworks. Key Responsibilities: <ul><li>Develop, maintain, and enhance our measurement scripts and front-end applications using JavaScript, HTML, and CSS.</li><li>Maintain our OMSDK implementation with updates and maintenance for enhanced ad measurement and verification.</li><li>Work closely with cross-functional teams to integrate and test new features.</li><li>Debug and resolve performance issues in browsers and video players.</li><li>Collaborate with the QA team to ensure high-quality results.</li><li>Stay updated with the latest trends and advancements in web technologies and ad tech.</li></ul>Qualifications: <ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field.</li><li>Strong proficiency in JavaScript, with a solid understanding of its core principles.</li><li>Experience with front-end frameworks and libraries (e.g., React, Angular, Vue.js).</li><li>In-depth knowledge of browser internals, DOM manipulation, and video player integration.</li><li>Familiarity with RESTful APIs and asynchronous programming.</li><li>Experience with OMSDK and its implementation in ad tech solutions.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and teamwork abilities.</li></ul>Bonus Qualifications: <ul><li>Experience in the ad tech industry.</li><li>Familiarity with ad serving technologies and standards (e.g., VAST, VPAID, OMSDK).</li><li>Understanding of fraud detection and prevention in digital advertising.</li><li>Experience with server-side JavaScript (Node.js).</li></ul>Benefits: We focus on doing things differently and challenge each other to be the best we can be. <ul><li>Monthly internet reimbursement</li><li>Casual, remote work environment</li><li>Remote, flexible hours</li><li>Opportunity for advancement</li><li>Fun annual team events</li><li>Being part of a high performing team that wants to win and have fun doing it</li><li>Extremely competitive compensation</li></ul>

Pixalate Interview Questions

Pixalate Interview Guides

Pixalate Interview Questions

Pixalate Salaries by Position

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