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Wise Skulls Interview Questions

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?

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

A/B Testing & Experimentation

Now Hiring: Senior Data Engineer (GCP / Big Data / ETL)Location: Richardson, TX (On-site — mandatory)Duration: 6 Months (Possible Extension) Job SummaryWe’re seeking an experienced Senior Data Engineer with deep expertise in Data Warehousing, ETL, Big Data, and modern GCP-based data pipelines. This role is ideal for someone who thrives in cross-functional environments and can architect, optimize, and scale enterprise-level data solutions on the cloud. Must-Have Skills (Non-Negotiable)<ul><li>9+ years in Data Engineering & Data Warehousing</li><li>9+ years hands-on ETL experience (Informatica, DataStage, etc.)</li><li>9+ years working with Teradata</li><li>3+ years hands-on GCP and BigQuery</li><li>Experience with Dataflow, Pub/Sub, Cloud Storage, and modern GCP data pipelines</li><li>Strong background in query optimization, data structures, metadata & workload management</li><li>Experience delivering microservices-based data solutions</li><li>Proficiency in Big Data & cloud architecture</li><li>3+ years with SQL & NoSQL</li><li>3+ years with Python or similar scripting languages</li><li>3+ years with Docker, Kubernetes, CI/CD for data pipelines</li><li>Expertise in deploying & scaling apps in containerized environments (K8s)</li><li>Strong communication, analytical thinking, and ability to collaborate across technical & non-technical teams</li><li>Familiarity with AGILE/SDLC methodologies</li></ul> Key Responsibilities<ul><li>Build, enhance, and optimize modern data pipelines on GCP</li><li>Implement scalable ETL frameworks, data structures, and workflow dependency management</li><li>Architect and tune BigQuery datasets, queries, and storage layers</li><li>Collaborate with cross-functional teams to define data requirements and support business objectives</li><li>Lead efforts in containerized deployments, CI/CD integrations, and performance optimization</li><li>Drive clarity in project goals, timelines, and deliverables during Agile planning sessions</li></ul> ???? Interested? Apply now or DM us to explore this opportunity! You can share resumes at moin@wiseskulls.com OR Call us on +1 (669) 207-1376

Job Title: Senior Data Analyst – Analytics & Reporting We’re seeking an experienced Senior Data Analyst to support analytics, reporting, and data strategy initiatives for a leading enterprise client. Location: Austin, TX or Cupertino, CA (Hybrid)Duration: 6+ months (possibility of extension)Visa: USC & GC OnlyTax Term: W2 Only Job SummaryJoin a high-impact data organization where you’ll drive analytical insights, enable data-driven decision-making, and shape future-state data strategy. In this role, you’ll translate business needs into technical solutions, build sophisticated data pipelines, and deliver dashboards that influence executive and operational decisions. Must-Have Skills<ul><li>8–12 years of experience in data analytics, business analysis, or data management</li><li>Advanced SQL expertise across large and complex datasets</li><li>Strong Python skills for analysis, transformation & feature engineering (Pandas, NumPy)</li><li>Hands-on experience with Tableau dashboards and storytelling</li><li>Deep understanding of data architecture, governance, data lineage, and MDM</li><li>Proven ability to identify data use cases & convert insights into recommendations</li><li>Experience with Snowflake, Databricks, or Hadoop/Spark ecosystems</li><li>Exposure to Collibra, Alation, or similar data catalog/governance tools</li><li>Familiarity with reference data (e.g., D&B hierarchy, enrichment)</li><li>Strong communication skills & stakeholder engagement experience</li></ul> Key Responsibilities<ul><li>Analyze enterprise datasets to uncover trends, correlations, and actionable insights</li><li>Identify and define new data use cases aligned with business strategy</li><li>Translate business requirements into technical specifications and analytical deliverables</li><li>Conduct impact assessments comparing current vs. future-state data architecture</li><li>Perform data profiling, quality checks, and identify source gaps</li><li>Design & validate data pipelines, transformations, lineage, and documentation</li><li>Execute feature engineering for analytics and modeling initiatives</li><li>Build, maintain & optimize Tableau dashboards for stakeholder reporting</li><li>Maintain business glossaries, data dictionaries, and metadata governance artifacts</li><li>Participate in testing & validation of new or transformed datasets</li><li>Collaborate cross-functionally with data engineers, product managers, and SMEs</li></ul> Environment & Tooling<ul><li>SQL: PostgreSQL, Snowflake, Redshift</li><li>Python: Pandas, NumPy, feature engineering workflows</li><li>Visualization: Tableau</li><li>Version Control: Git / Bitbucket</li><li>Project Tools: JIRA, Confluence</li></ul> ???? Interested? Apply now or DM us to explore this opportunity! You can share profiles at imran@wiseskulls.com OR Call us on +1 (669) 309-1707

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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