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[24]7.Ai Interview Questions

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<ul>
<li>Welcome to [24]7.Ai - Redefining Customer Experience with AI and Machine Learning!</li>
</ul>
[24]7.Ai is a global leader in conversational AI and customer experience innovation. We empower the world’s most recognizable brands to interact with consumers more effectively through personalized and predictive solutions. Our cutting-edge AI technology transforms consumer interactions into effortless experiences across all channels, driving significant improvements in customer satisfaction, digital adoption, and revenue growth.
As part of our team, you'll be at the forefront of revolutionizing consumer-business interactions. Do you have what it takes to shape the future? Dive into our interview guide to prepare yourself for an exciting journey with [24]7.Ai! 
For more information, visit: <a href="www.247.ai/company">www.247.ai/company</a>

- **Welcome to [24]7.Ai - Redefining Customer Experience with AI and Machine Learning!**

  [24]7.Ai is a global leader in conversational AI and customer experience innovation. We empower the world’s most recognizable brands to interact with consumers more effectively through personalized and predictive solutions. Our cutting-edge AI technology transforms consumer interactions into effortless experiences across all channels, driving significant improvements in customer satisfaction, digital adoption, and revenue growth.

  As part of our team, you'll be at the forefront of revolutionizing consumer-business interactions. Do you have what it takes to shape the future? Dive into our interview guide to prepare yourself for an exciting journey with [24]7.Ai! 

  For more information, visit: [www.247.ai/company](www.247.ai/company)

Overview

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?

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?

[24]7.Ai Salaries by Position

Job Role: Lead Data EngineerJob Location: Bangalore Job Description :Design, develop, and maintain scalable and efficient data pipelines using Python, Pandas, Spark, and Dataflow.Strong background in relational databases such as SQL Server or MySQL along with a deep understanding of the Cloud Platform.Putting together large, intricate data sets to satisfy both functional and non-functional business needs.Analyze and integrate disparate systems / data using ETL processes and logic to provide timely and accurate information to visualization team and business stakeholders.Optimize and troubleshoot data pipelines for performance, reliability, and scalability.Ensure data integrity and quality throughout the pipeline by implementing validation and testing strategies.Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual proceduresCollaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.Develop and maintain documentation for data pipelines, including design documents, code comments, and operational guides.Provide technical support for production issues including troubleshooting, query and process optimization.Provide technical guidance and mentorship to junior team members, promoting best practices and continuous learning.Having knowledge on analytics using PowerBI, Tableau, Data studio and Apache SuperSet Work Experience & Qualifications Proven 7 to 9 Yrs. in design and development.Excellent customer-facing and internal communication skills.A bachelor’s degree in computer science / information science / data science.

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Overview

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[24]7.Ai Salaries by Position

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