Data Scientist Measurement Framework Developer (Statistical & Causal Inference)

Pride Global
Morton Township, United States of America
14 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 162K

Job location

Remote
Morton Township, United States of America

Tech stack

A/B testing
Amazon Web Services (AWS)
Azure
Continuous Integration
Generalized Linear Model
Statistical Hypothesis Testing
Python
SQL Databases
Enterprise Data Management
Scikit Learn
Github Enterprise
Data Pipelines
Databricks

Job description

We are seeking a Data Scientist with strong expertise in statistical inference and causal analysis to support the development of measurement frameworks for large-scale enterprise solutions. This role is ideal for someone who thrives in fast-paced environments, enjoys designing experiments, and can deliver end-to-end data science solutions with a strong focus on production-level implementation and cross-functional collaboration., * Design, build, and implement scalable measurement frameworks for production environments

  • Apply statistical inference and causal methodologies (e.g., A/B testing, propensity score matching, instrumental variables)
  • Develop and analyze both controlled experiments and observational studies
  • Partner with stakeholders to define KPIs and measurement strategies
  • Write clean, maintainable, and reproducible code for statistical analysis and reporting
  • Contribute to CI/CD processes and manage code using GitHub Enterprise
  • Deliver insights quickly while maintaining high analytical rigor and collaboration standards

Requirements

  • Strong foundation in hypothesis testing, OLS, GLM, and causal inference techniques
  • Hands-on experience with A/B testing and experimental design
  • Proficiency in Python and SQL, including libraries such as statsmodels, scikit-learn, DoWhy, or linearmodels
  • Experience working with production-level code and end-to-end data science workflows
  • Familiarity with Databricks or similar enterprise data platforms
  • Excellent communication skills and ability to collaborate across teams
  • Self-starter mindset with strong ownership and accountability, * Experience in retail, inventory management, or operations research
  • Exposure to cloud platforms such as AWS, Azure, or GCP, * A "measurement developer" mindset with a strong balance of statistical rigor and engineering execution
  • Ability to move quickly while maintaining quality and clarity
  • Strong collaborator who can translate complex analyses into actionable insights

Benefits & conditions

Pride Global offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

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