Note: The job is a remote job and is open to candidates in USA. DRISHTICON Inc is seeking a Data Scientist to develop measurement frameworks for enterprise solutions. The role focuses on designing experiments, applying statistical inference and causal analysis methods, analyzing controlled experiments and observational studies, and building scalable frameworks to measure impact.
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
Skills
- 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
- Experience in healthcare domain
- Exposure to cloud platforms (Azure, AWS, GCP)
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