Data Scientist II - Hybrid: Causal Inference & Modeling

Akraya; San Diego (CA); Hybrid; USD 103,000 - 117,000; Full time

Job summary

Akraya in San Diego is seeking a data analyst to leverage data to drive business improvements through analysis and modeling. You will translate complex data into clear, actionable insights and collaborate with stakeholders to define analytical needs.

This role contributes to data capture systems, creates ad hoc reports, and may mentor junior analysts. Proficiency in SQL and Python is essential, with experience in causal inference and data visualization preferred.

Qualifications

• Proficiency in advanced SQL for data extraction and manipulation.
• Strong analytical and modeling capabilities using Python.
• Experience with data visualization tools to communicate findings effectively.
• Experience in leveraging causal inference techniques is highly preferred to understand the impact of business initiatives.

Responsibilities

• Conduct deep dives into business data using statistical and predictive methods.
• Develop data-driven recommendations to optimize current business operations.
• Partner with stakeholders to understand and define analytical requirements.
• Generate ad hoc reports and support data system development.
• Occasionally provide guidance to junior data analysts.

Skills

SQL

Python

Causal Inference

Data Mining

Tools

QlikSense

Job description

Akraya in San Diego is seeking a data analyst to leverage data to drive business improvements through analysis and modeling. You will translate complex data into clear, actionable insights and collaborate with stakeholders to define analytical needs.

This role contributes to data capture systems, creates ad hoc reports, and may mentor junior analysts. Proficiency in SQL and Python is essential, with experience in causal inference and data visualization preferred.