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A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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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?

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?

Senior Data EngineerSt Louis, MO(Hybrid)ContractNo OPT or CPTOnly local to St Louis, MO consultants will be consider Technical RequirementsMust-Have Skills: Hadoop, Spark, Python, SQL, ETL tools (Alteryx, NiFi, SSIS).Cloud Experience: Familiarity with AWS and Azure is important; Azure is preferred.ETL Tools: Alteryx is currently used; NiFi is preferred for sensitive data. Experience with Alteryx is transferable to NiFi.Experience Level: 5–8 years in data engineering, with end-to-end agile methodology experience.

Cloud Data Engineering (Production Support)St Louis, MO(Hybrid)Contract Local consultants will be considerded Only on w2(USC or GC) Core Responsibilities<ul><li>Production support for Databricks notebooks, Spark streaming apps, and APIs.</li><li>Ownership of Level 1 / Bronze batch ingestion for ~60 data sources.</li><li>Work includes:</li><li>Data ingestion from various relational DBs or AWS → Delta Lake.</li><li>Adding new tables/columns, change management, GDPR/purge processes.</li><li>Product optimization: upgrades, resiliency work, performance improvements.</li><li>Occasional new development for shared-service tools, not business-facing projects.</li></ul> Required Technical Skills<ul><li>Python (must have)</li><li>Spark fundamentals (architecture, DataFrames, Spark SQL)</li><li>Databricks experience</li><li>Relational DB experience (Oracle, SQL Server, Postgres; not a DBA)</li><li>Understanding of Delta Lake</li></ul> Nice-to-Haves:<ul><li>Spark streaming</li><li>API development experience</li><li>Azure experience preferred; AWS acceptable</li><li>Scala not required</li></ul>

Cloud Data EngineerRemote(Only local to St Louis, MO)Contract Required: • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future • Must reside in St. Louis, Missouri, or immediate surrounding area • Must be able to work a schedule within U.S. Central Standard Time core business hours. • Must have 3 or more years’ experience in full lifecycle development and end-to-end testing and data validation • Apache Spark Fundamentals: Understanding Spark architecture, distributed computing, Data Frames, and Spark SQL • Experience with relational databases such as Oracle, SQL Server, Postgres, or Teradata. • Hands-on experience supporting applications deployed on Azure services such as Spark, Azure Functions, and Azure SQL. • Experience writing scalable data pipelines and transformations. (e.g., Python, Scala, or Java) • Must be committed to incorporating security into all decisions and daily job responsibilities Preferred: • Bachelor's degree in Computer Science, Computer Information Systems, Management Information Systems, or related field preferred • Experience with Big Data Solutions and no SQL DBMSs • Experience working with ADLSg2 or other Blob Storage solutions • Experience with change data capture (CDC) and identifying data deltas for incremental data processing. (e.g. SCD type 1 / SCD type 2) • Experience with API development and support of Azure functions • Experience with Azure, AWS, or other Public Cloud environments • Experience with Microsoft Azure platform technologies like Event Hubs, Data Factory, Delta Lake, Cosmos DB, or DevOps • Prior experience with Enterprise IT Rental or Vehicle domain knowledge • Prior experience leading large-scale projects

US Business Analysts Location: - BangaloreExperience required: 2–7 yearsMandatory: Pharma/US Client Experience & US Healthcare <ul><li>Strong proficiency in SQL and Dataiku (Mandatory)</li><li>Hands-on experience with US pharmaceutical datasets such as APLD and Xponent (Mandatory)</li><li>Ability to work independently with minimal supervision.</li></ul> Note: All the above skills are Mandatory. Kindly apply with your updated resume.

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High

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