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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

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

Autozone Salaries by Position

AutoZone's Senior Merchandising Analysts are internal consultants for the merchandising department. They provide the data for the line review process. They track promotions, contest, and team objectives. They monitor all of the team categories making Data Analyst, Merchandising, Senior Analyst, Analyst, Technology, Automotive

Location Memphis, TN (Hybrid) At AutoZone, we rely on insightful data to power our systems and solutions. Were seeking an experienced data scientist to deliver that insight to us daily. Our ideal team member will have the mathematical and statistical expertise youd expect, but a natural curiosity and creative mind thats not so easy to find. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden withinall with the ultimate goal of realizing the datas full potential. Summary + Collaborate with management to develop an understanding of needs + Research and devise innovative statistical models for data analysis + Communicate findings to all stakeholders + Enable smarter business processes and implement analytics for meaningful insights + Keep current with technical and industry developments Key Responsibilities + Research, test, and apply predictive modeling techniques to historical store performance and related trade area demographics and store characteristics to determine those factors that most reliably predict store performance. Create predictive models based on those factors that will provide Research and Real Estate sales estimates for the potential trade areas + Participate in the various stages of the new store approval process and perform ad-hoc analysis to answer questions from the Executives + Collaborate with different functional teams using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions + Serve as the spatial analytics hub for the entire organization and answer any question with a where component + Create predictive models to estimate sales to strategize our International expansion + Assess the effectiveness and accuracy of new data sources and data gathering techniques + Develop custom data models and algorithms to apply to data sets + Develop processes and tools to monitor and analyze model performance and data accuracy Skills and Qualifications + Masters degree in statistics, information systems, data science, analytics, engineering, finance, or another related field + 2 to 4 years of relevant experience in statistical analysis, advanced modeling techniques, data mining, and business analysis. These methods include techniques such as Linear Regression, Random Forest, Time Series Analysis, Gradient Boosted Models, TensorFlow, Clustering Analysis, etc. + Experience in Alteryx, R, Python, SAS, GIS tools, SQL, Excel, Tableau, and similar tools to extract, cleanse, manipulate and validate data from a variety of sources Excellent communication skills; persuasive in presenting complex data and concepts to non-technical audiences Benefits at AutoZone AutoZone cares about people. Thats why AutoZone offers thoughtful benefits programs with one-on-one benefit guidance designed to improve AutoZoners physical, mental and financial wellbeing. Some of these benefits include: Competitive pay and paid time off Unrivaled company culture Medical, dental, vision, life, and short- and long-term disability insurance options ? Health Savings and Flexible Spending Accounts with wellness rewards Exclusive Discounts and Perks, including AutoZone In-store discount 401(k) with Company match and Stock Purchase Plan AutoZoners Living Well Program for mental and physical health Opportunities for career growth and tuition reimbursement? Eligibility and waiting period requirements may apply; benefits for Autozoners in Puerto Rico, Hawaii or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at?careers.autozone.com

Location Memphis, TN (Hybrid) At AutoZone, we rely on insightful data to power our systems and solutions. Were seeking an experienced data scientist to deliver that insight to us daily. Our ideal team member will have the mathematical and statistical expertise youd expect, but a natural curiosity and creative mind thats not so easy to find. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden withinall with the ultimate goal of realizing the datas full potential. Summary + Collaborate with management to develop an understanding of needs + Research and devise innovative statistical models for data analysis + Communicate findings to all stakeholders + Enable smarter business processes and implement analytics for meaningful insights + Keep current with technical and industry developments Key Responsibilities + Research, test, and apply predictive modeling techniques to historical store performance and related trade area demographics and store characteristics to determine those factors that most reliably predict store performance. Create predictive models based on those factors that will provide Research and Real Estate sales estimates for the potential trade areas + Participate in the various stages of the new store approval process and perform ad-hoc analysis to answer questions from the Executives + Collaborate with different functional teams using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions + Serve as the spatial analytics hub for the entire organization and answer any question with a where component + Create predictive models to estimate sales to strategize our International expansion + Assess the effectiveness and accuracy of new data sources and data gathering techniques + Develop custom data models and algorithms to apply to data sets + Develop processes and tools to monitor and analyze model performance and data accuracy Skills and Qualifications + Masters degree in statistics, information systems, data science, analytics, engineering, finance, or another related field + 2 to 4 years of relevant experience in statistical analysis, advanced modeling techniques, data mining, and business analysis. These methods include techniques such as Linear Regression, Random Forest, Time Series Analysis, Gradient Boosted Models, TensorFlow, Clustering Analysis, etc. + Experience in Alteryx, R, Python, SAS, GIS tools, SQL, Excel, Tableau, and similar tools to extract, cleanse, manipulate and validate data from a variety of sources Excellent communication skills; persuasive in presenting complex data and concepts to non-technical audiences Benefits at AutoZone AutoZone cares about people. Thats why AutoZone offers thoughtful benefits programs with one-on-one benefit guidance designed to improve AutoZoners physical, mental and financial wellbeing. Some of these benefits include: Competitive pay and paid time off Unrivaled company culture Medical, dental, vision, life, and short- and long-term disability insurance options ? Health Savings and Flexible Spending Accounts with wellness rewards Exclusive Discounts and Perks, including AutoZone In-store discount 401(k) with Company match and Stock Purchase Plan AutoZoners Living Well Program for mental and physical health Opportunities for career growth and tuition reimbursement? Eligibility and waiting period requirements may apply; benefits for Autozoners in Puerto Rico, Hawaii or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at?careers.autozone.com

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