Senior Data Scientist — Analytics & Experimentation (Hybrid NYC)

Crane Venture Partners

New York (NY)

Hybrid

USD 100.000 - 140.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Crane Venture Partners is looking for a Senior Data Scientist focused on Analytics to shape our data science practice. This hybrid role in our NYC office will have you collaborating with cross-functional teams to enhance our data capabilities.

You will be responsible for owning experimentation processes, driving causal analysis, and ensuring the quality of our methodologies.

The ideal candidate has strong SQL and Python skills, a deep statistical background, and the ability to communicate complex findings effectively.

Qualifikationen

  • Strong SQL and Python skills — you write production‑quality queries and analytical scripts.
  • Deep statistics background — hypothesis testing, confidence intervals, power analysis, causal inference.
  • Extensive experience designing experimentation frameworks at scale.

Aufgaben

  • Own experimentation end-to-end — design and analyze A/B tests.
  • Drive causal inference work — lead analyses to understand product outcomes.
  • Produce internal research papers and contribute to external analyses.

Kenntnisse

SQL
Python
Deep statistics background
Data preprocessing and feature engineering
Business acumen
Excellent communication skills
Experience with BI/visualization tools

Tools

Looker
Tableau

Jobbeschreibung

Crane Venture Partners is looking for a Senior Data Scientist focused on Analytics to shape our data science practice. This hybrid role in our NYC office will have you collaborating with cross-functional teams to enhance our data capabilities.

You will be responsible for owning experimentation processes, driving causal analysis, and ensuring the quality of our methodologies.

The ideal candidate has strong SQL and Python skills, a deep statistical background, and the ability to communicate complex findings effectively.

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