Senior Data Scientist (Analytics) at Grab

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Define metrics for problem space: primary metric at the exact step a feature changes, leading and
Design and analyze controlled experiments with product manager: hypothesis, randomization unit
Diagnose metric movements systematically: locate, decompose, cut by funnel
Size opportunities and run proactive deep dives into consumer, merchant, driver-partner behavior to
Oversee data specifications and instrumentation for new features with engineering.
Build dashboards and certified metrics for reliable self-serve visibility.

At least 4 years in analytics or quantitative roles, with at least 2 years owning metrics for
Fluent SQL on large datasets; proficient Python or R for analysis.
Hands-on experience designing and analyzing controlled experiments: A/B tests, holdouts, or
Sound statistics: hypothesis testing, confidence intervals, sample size/power, multiple
Precise metric framing: define numerator, denominator, population; distinguish feature-engagement
Structured solutioning on ambiguous questions: lay out space, write analysis plan before coding.

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