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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

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 you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Radcube | Rapid Technology Solutions Salaries by Position

Job Description We are seeking a highly skilled and motivated Data Scientist to join our Health and Human Services Consulting team. The ideal candidate will possess advanced data science skills, have experience with healthcare claims data and social determinants of health data sets, and be adept at managing projects and teams. This role requires a blend of technical expertise, project management, and client communication skills. Key Responsibilities •Utilize advanced data science techniques to analyze and interpret complex datasets, including healthcare claims data and social determinants of health data. •Develop and implement data models, machine learning algorithms, and statistical analyses to support client needs and drive data-driven decision-making. •Create comprehensive reports and presentations to communicate findings, insights, and recommendations to clients and internal stakeholders effectively. •Independently manage and prioritize multiple projects, ensuring timely delivery and adherence to high-quality standards. •Lead, mentor, and develop a team of data analysts and junior data scientists, fostering a collaborative and innovative work environment. •Engage with clients, including state health and human service agencies, to understand their needs, provide expert advice, and maintain strong relationships. •Ensure compliance with healthcare policies, regulations, and data privacy standards in all data analysis and modeling activities. •Participate in business development activities, including responding to RFPs, authoring white papers, and delivering industry presentations. •Stay current with emerging data science trends, tools, and technologies, integrating them into practice to enhance service offerings. •Oversee data governance and maintain data quality standards, ensuring the integrity and accuracy of all data used and produced. Requirements Qualifications •Advanced degree (Master's or Ph.D.) in Data Science, Statistics, Computer Science, Public Health, or a related field. •Minimum of 5 years of proven experience in data science, with a strong portfolio of projects demonstrating expertise in: •Machine learning and predictive modeling •Statistical analysis and hypothesis testing •Data visualization and reporting tools (e.g., Tableau, Power BI) •Programming languages such as Python, R, SQL •Big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) •Experience working with healthcare claims data and social determinants of health data sets. •Strong project management skills, with the ability to manage and prioritize multiple projects simultaneously. •Proven leadership and team management experience, with the ability to lead, mentor, and develop a team of data analysts. •Excellent written and verbal communication skills, capable of conveying complex technical information to non-technical audiences. •In-depth knowledge of healthcare regulations and data privacy standards, ensuring compliance in all analytical activities. •Experience in client engagement and relationship management, with strong interpersonal and consultative skills. •Strong problem-solving and critical-thinking abilities, with a proactive approach to addressing challenges. •Familiarity with data governance and quality assurance practices, ensuring the integrity and accuracy of data analyses. Preferred Qualifications: •Experience working with state health and human service agencies. •Strong knowledge of Medicaid policy and regulations. •Familiarity with advanced analytics tools and platforms (e.g., SAS, STATA). •Relevant certifications, such as Certified Data Scientist, Project Management Professional (PMP), or equivalent. •Demonstrated experience in business development activities, including responding to RFPs, authoring white papers, and delivering industry presentations.

About the Role: We are seeking a highly skilled Data Engineer to join the Digital Health Strategy Business Unit. The ideal candidate will have a strong background in data modeling, ETL processes, and extensive experience with Adobe Experience Platform (AEP), particularly with Adobe's XDM data model. This role also requires experience in Data Engineering using DataBricks and a proven ability to drive operational excellence in a DevOps environment using ServiceNow. Key Responsibilities: <ul><li>Design, develop, and maintain data pipelines and data models to support Adobe Experience Platform (AEP), including the implementation and optimization of Adobe's XDM data model.</li><li>Develop ETL processes to bring data into AEP and transform data from AEP to downstream systems.</li><li>Collaborate with data scientists, data analysts, and other stakeholders to understand data requirements and deliver high-quality, reliable data solutions.</li><li>Lead the implementation of data engineering best practices and ensure alignment with organizational goals and compliance requirements.</li><li>Oversee and optimize data engineering workflows within DataBricks, enhancing data processing and storage capabilities.</li><li>Develop and implement data integration solutions across multiple data sources, ensuring scalability and performance optimization.</li><li>Serve as a Lead Service Manager, driving DevOps excellence across the data engineering portfolio.</li><li>Manage and execute ITIL processes, including Change, Incident, and Problem Management using ServiceNow.</li><li>Proactively define and implement an operational excellence agenda, focusing on continuous improvement in data engineering practices and processes.</li></ul> Requirements Qualifications: <ul><li>Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred.</li><li>5+ years of experience in Data Engineering, with a focus on data modeling and ETL processes.</li><li>Expertise in Adobe Experience Platform (AEP) and Adobe's XDM data model is essential.</li><li>Proven experience in data engineering using DataBricks.</li><li>Strong knowledge of DevOps practices and experience in managing ITIL processes using ServiceNow.</li><li>Excellent problem-solving skills, with the ability to work independently and manage multiple priorities.</li><li>Strong communication and collaboration skills, with a demonstrated ability to work effectively with cross-functional teams.</li></ul> Preferred Skills: <ul><li>Experience in healthcare or digital health data management.</li><li>Knowledge of cloud-based data storage and processing technologies.</li><li>Familiarity with agile methodologies and continuous delivery practices.</li></ul>

Radcube | Rapid Technology Solutions Interview Questions

Radcube | Rapid Technology Solutions Interview Guides

Radcube | Rapid Technology Solutions Interview Questions

Radcube | Rapid Technology Solutions Salaries by Position

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