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Lutron Electronics Data Scientist Interview Questions

The questions to prepare for a Lutron Electronics Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

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~4htotal time
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1
Machine LearningStart here. 6 questions · ~49 min
Handle Missing Sensor DataEasy

Build a tabular classifier for aircraft maintenance risk and explain how you would handle missing values without introducing leakage.

Cross-ValidationFeature EngineeringSupervised LearningLutron Electronics
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2
Metrics3 questions · ~24 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisLutron Electronics
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3
Product Sense3 questions · ~24 min
Defining Metrics for Energy-Saving FeaturesMedium

Tests metrics design for product outcomes and alignment with user value and business goals.

product metricsUser NeedsValue PropositionLutron Electronics
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4
Behavioral & Leadership5 questions · ~41 min
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5
More topics11 questions · ~90 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceLutron Electronics
A/B Test for Caséta Scheduling FeatureHard

Tests ability to design and measure product experiments for Lutron Electronics connected lighting features.

experiment designGuardrail MetricsEngagement MetricsLutron Electronics
Memory-Efficient Pipeline OptimizationHard

Tests ability to design efficient data processing pipelines for large-scale IoT logs.

performanceETLLutron Electronics
7-Day Rolling Average with SQL WindowsMedium

Tests SQL window function proficiency for time-based aggregations and customer-level metrics.

Window FunctionsDate FunctionsRunning TotalsLutron Electronics
Imbalanced Classification MetricsMedium

Tests understanding of evaluation metrics under asymmetric error costs and class imbalance.

PrecisionThreshold TuningRecallLutron Electronics
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
30-Day Moving Average of BookingsMedium
Practice
Practice drill

Build a daily series and compute a 30-day trailing moving average of task bookings using window functions.

Window FunctionsData WranglingAggregationsTaskRabbitRBC
7-Day Moving Average of Daily GMVEasy
Practice
Practice drill

Compute daily paid GMV and a 7-day trailing moving average using aggregation + window functions.

Window FunctionsData WranglingTime SeriesBalyasny Asset ManagementAmazon Development Center U.S.
Rolling Average Outage DurationMedium
Practice
Practice drill

Calculate a 30-day rolling outage-duration average for each PG&E service area using a CTE, join, and window function.

Window FunctionssqlTime SeriesPacific Gas and Electric
The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.