In-depth guides for top tech company interviews. Each guide covers the interview process, question types, preparation tips, and includes real practice questions.
9,429 guides across 7,316 companies · page 42 of 158
Causal inference drills for Publicis Sapient data scientist prep: diff-in-diff, matching, instruments, and the limits of observed data.
Parafin Data Scientist interview guide: reported rounds, practice questions with worked solutions and a 7-day prep plan.
Causal inference drills for Pacific Gas and Electric data scientist prep: diff-in-diff, matching, instruments, and the limits of observed data.
Data scientist interview prep for Naval Nuclear Laboratory: original practice on experiment design, SQL and metric reasoning, with worked solutions.
SQL practice for MBC data scientist candidates: window functions, funnel and retention queries, joins that quietly drop rows.
Modeling drills for a Kalshi data scientist interview: baselines, regression interpretation, class imbalance, model defense.
Modeling drills for a Kaleidofin data scientist interview: baselines, regression interpretation, class imbalance, model defense.
Data scientist interview prep for J.B. Hunt Transport: original practice on experiment design, SQL and metric reasoning, with worked solutions.
SQL practice for IntegraFEC data scientist candidates: window functions, funnel and retention queries, joins that quietly drop rows.
A two-week prep plan for GitHub data scientist candidates: write your answer before reading the solution, revisit misses three days later.
Timed data scientist practice for Goldman Sachs: short SQL and probability sets run end to end, then scored against a rubric.
Hinge health Data Scientist interview guide: reported rounds, practice questions with worked solutions and a 7-day prep plan.
Diagnose a metric move for Evernorth Health Services India data scientist prep: split by segment, rule out a logging change, separate mix shift from behaviou
Diagnose a metric move for Fidelity Investments data scientist prep: split by segment, rule out a logging change, separate mix shift from behaviour.
Exela Technologies Data Scientist interview guide: reported rounds, practice questions with worked solutions and a 7-day prep plan.
Fanduel data scientist prep on data pitfalls: selection bias, target leakage, and checking an outlier's provenance before you drop it.
Practice explaining analysis before a DTE Energy data scientist interview: the recommendation, the uncertainty, the follow-ups.
Diagnose a metric move for DRW data scientist prep: split by segment, rule out a logging change, separate mix shift from behaviour.
Timed data scientist practice for DKV Mobility: short SQL and probability sets run end to end, then scored against a rubric.
Timed data scientist practice for Data Axle: short SQL and probability sets run end to end, then scored against a rubric.
Diagnose a metric move for Citizens data scientist prep: split by segment, rule out a logging change, separate mix shift from behaviour.
Causal inference drills for Bose data scientist prep: diff-in-diff, matching, instruments, and the limits of observed data.
Case practice for Boston red sox data scientist candidates: scope a vague prompt into a measurable question before you analyze it.
Bristlecone Data Scientist interview guide: reported rounds, practice questions with worked solutions and a 7-day prep plan.
Causal inference drills for AT&T data scientist prep: diff-in-diff, matching, instruments, and the limits of observed data.
Causal inference drills for Amey data scientist prep: diff-in-diff, matching, instruments, and the limits of observed data.
Practice explaining analysis before a Arrowstreet Capital data scientist interview: the recommendation, the uncertainty, the follow-ups.
Causal inference drills for Aviva data scientist prep: diff-in-diff, matching, instruments, and the limits of observed data.
A two-week prep plan for Admiral Group data scientist candidates: write your answer before reading the solution, revisit misses three days later.
AB InBev GCC data scientist prep on data pitfalls: selection bias, target leakage, and checking an outlier's provenance before you drop it.
Diagnose a metric move for ABB data scientist prep: split by segment, rule out a logging change, separate mix shift from behaviour.
Debugging practice for Transport for NSW software engineer candidates: reproduce it, narrow it, then change one thing per run.
Code reading practice for PBS Systems software engineer prep: work out what unfamiliar code does before judging it.
ECI software engineer prep on databases: indexes, query plans, and the anomalies an isolation level still permits.
Salas O'Brien software engineer prep: algorithm drills where every complexity claim has to name the assumption under it.
Timed coding practice for Cloudscouts Software Solutions software engineer candidates: full attempts under a clock, then scored against a rubric.
Testing practice for Airo Digital Labs software engineer candidates: the boundaries worth covering, and why flakiness is a real defect.
Code reading practice for Bluelupin Technologies software engineer prep: work out what unfamiliar code does before judging it.
Testing practice for Mastech Digital software engineer candidates: the boundaries worth covering, and why flakiness is a real defect.
Software engineer prep for Asian Paints: design exercises weighted toward the constraints of B2B software and infrastructure work.
Aspire Systems software engineer prep: algorithm drills where every complexity claim has to name the assumption under it.
Caching practice for Kaiser Permanente software engineer prep: settle the staleness budget before choosing an invalidation strategy.
SBS Transit software engineer prep on databases: indexes, query plans, and the anomalies an isolation level still permits.
Software engineer interview prep for ASUS: original coding, system design and debugging practice, each with a worked solution.
A prep plan for Rheinmetall software engineer candidates: answer first, read the solution second, repeat the misses later.
Take-home style practice for PEAK6 software engineer candidates: a small service, a fixed budget, a written tradeoff.
Code reading practice for Sage software engineer prep: work out what unfamiliar code does before judging it.
Ryder System software engineer prep: algorithm drills where every complexity claim has to name the assumption under it.
Cybage Software software engineer prep: algorithm drills where every complexity claim has to name the assumption under it.
A prep plan for RideCo software engineer candidates: answer first, read the solution second, repeat the misses later.
Code reading practice for Mozilla software engineer prep: work out what unfamiliar code does before judging it.
Software engineer interview prep for Google Cloud: original coding, system design and debugging practice, each with a worked solution.
Cambia Health Solutions software engineer prep on partial failure: a timed-out request has an unknown outcome, not a failed one.
Software engineer prep for Allen Institute for AI: design exercises weighted toward the constraints of B2B software and infrastructure work.
Software engineer interview prep for Assystem: original coding, system design and debugging practice, each with a worked solution.
Testing practice for Behavox software engineer candidates: the boundaries worth covering, and why flakiness is a real defect.
bp software engineer prep: algorithm drills where every complexity claim has to name the assumption under it.
Software engineer prep for Bank of England: design exercises weighted toward the constraints of payments and lending work.
API design practice for BCI software engineer candidates: compatibility, versioning, and changes you cannot take back.
Arc'teryx software engineer prep on databases: indexes, query plans, and the anomalies an isolation level still permits.