Data Scientist (Statistical & Causal Inference)

Remote • Posted 2 hours ago • Updated 2 hours ago

Contract W2

Remote

$60 - $65/hr

Fitment

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Job Details

Skills

A/B testing

Summary

Measurement Framework Developer Data Scientist (Statistical & Causal Inference)

Candidates should be in EST or CST time zones

About the Role
We are looking for a Data Scientist with strong expertise in statistical inference and causal analysis to develop measurement frameworks for enterprise solutions. This role is ideal for someone passionate about designing experiments, applying causal inference methods, and building scalable frameworks to measure impact.

Key Responsibilities:
Design and implement measurement frameworks for solutions in production.
Apply statistical inference and causal methods (e.g., A/B testing, propensity score matching, instrumental variables).
Develop and analyze controlled experiments and observational studies.
Collaborate with stakeholders to define KPIs and measurement strategies.
Write clean, reproducible code for statistical analysis and reporting.
Implement CI/CD principles and manage code repositories using GitHub Enterprise.

Required Qualifications:
Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques.
Proficiency in Python and SQL; experience with libraries like statsmodels, scikit-learn, DoWhy, linearmodels.
Experience with A/B testing and experimental design.
Familiarity with Databricks or similar enterprise cloud environments.
Self-starter with an ownership mindset and ability to work independently.

Preferred Qualifications
Experience in retail, inventory management, or operations research.
Exposure to cloud platforms (Azure, AWS, Google Cloud Platform).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10383289
Position Id: 8911599
Posted 2 hours ago

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