Job Description
Role Overview:
As a Data Scientist at Chryselys, You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.
Responsibilities
Traditional Data science
- A/B test sample size evaluation, Test and control variant assignment, Quasi experimentation approach, Correlation models.
-Statistical Power Analysis: Experience in calculating sample sizes to ensure experiments have enough ""power"" to detect meaningful effects.
-Experimental Design: Mastery of Randomized Controls, specifically how to assign ""Test"" and ""Control"" variants without introducing bias.
-Quasi-Experimentation: Proficiency in methods like Difference-in-Differences (Diff-in-Diff) or Propensity Score Matching.
-Correlation vs. Causality: Expertise in building models that distinguish between variables that move together and those where one actually causes the other.
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