Data Scientist: Measurement & Causal Inference

Avenue Code; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

A leading software consultancy is seeking a Data Scientist with expertise in statistical inference and causal analysis. This role involves designing measurement frameworks, applying statistical methods such as A/B testing, and collaborating with stakeholders to define KPIs. Candidates should have proficiency in Python and SQL, along with experience in experimental design. The position offers a salary range of USD 100k to USD 140k annually, depending on qualifications and experience.

Qualifications

• Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques.
• Ability to write clean, reproducible code for statistical analysis.
• Experience with experimental design and observational studies.

Responsibilities

• Design and implement measurement frameworks for production solutions.
• Collaborate with stakeholders to define KPIs and measurement strategies.
• Apply statistical methods including A/B testing and propensity score matching.

Skills

Statistical inference

Causal analysis

Python

SQL

A/B testing

Experiment design

Machine learning libraries

Tools

GitHub Enterprise

Databricks

Job description

A leading software consultancy is seeking a Data Scientist with expertise in statistical inference and causal analysis. This role involves designing measurement frameworks, applying statistical methods such as A/B testing, and collaborating with stakeholders to define KPIs. Candidates should have proficiency in Python and SQL, along with experience in experimental design. The position offers a salary range of USD 100k to USD 140k annually, depending on qualifications and experience.