Data Scientist – Measurement Framework Developer (Statistical & Causal Inference)
Location: Remote (Candidates must be located in EST or CST time zones)
Duration: 6-month W2 Contract
Pay Rate: $50–$62/hour depending on experience
Employer: Russell Tobin (supporting a leading enterprise retail client)
About the Role
Russell Tobin is supporting a major enterprise retail organization in hiring a Data Scientist with strong expertise in statistical inference and causal analysis to develop scalable measurement frameworks for enterprise solutions.
This role is ideal for someone passionate about experimental design, causal inference, and data-driven decision making, who enjoys building robust frameworks to measure product and business impact.
Key Responsibilities
- Design and implement measurement frameworks for solutions deployed in production environments.
- Apply statistical inference and causal methods such as A/B testing, propensity score matching, and instrumental variables.
- Develop and analyze controlled experiments and observational studies to evaluate impact.
- Collaborate with cross-functional 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 understanding of hypothesis testing, OLS, GLM, and causal inference techniques.
- Proficiency in Python and SQL.
- Experience with Python libraries such as statsmodels, scikit-learn, DoWhy, and linearmodels.
- Hands-on experience with A/B testing and experimental design.
- Familiarity with Databricks or similar enterprise cloud environments.
- Ability to work independently with a strong ownership mindset.
Preferred Qualifications
- Experience in retail, inventory management, or operations research.
- Exposure to cloud platforms such as Azure, AWS, or Google Cloud Platform.
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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