Open role
[Remote] Principal Data Scientist - Causal Inference / ML
Note: The job is a remote job and is open to candidates in USA. Analytic Recruiting Inc. is recruiting for an unnamed transaction data intelligence firm seeking a Principal Data Scientist to build statistical and predictive intelligence from consumer transaction data. The role develops and ships end-to-end machine learning systems, statistical methodologies, predictive models, and causal measurement systems.
Responsibilities
- Ship end-to-end ML solutions: research to modeling to production
- Build statistical frameworks (balancing, normalization, paneling, cohorting)
- Develop predictive models for spend forecasting, propensity, churn, and behavioral embeddings
- Create causal measurement systems (synthetic controls, uplift, incrementality)
- Apply privacy preserving ML (DP, cleanrooms, aggregation thresholds)
- Drive production pipelines and governed model outputs
- Mentor senior/staff scientists and represent methodology to stakeholders
Skills
- 7+ years in ML/statistics with deep hands-on leadership
- Strong foundation in weighting, calibration, bias correction
- Expertise in supervised learning, forecasting, behavioral/tabular data
- Causal inference experience (synthetic control, uplift, incrementality)
- Production engineering skills (Python, SQL, cloud data warehouses)
- Experience with large scale ML pipelines and evaluation frameworks
- Excellent communication and methodological rigor
- Representation learning / embeddings
- Privacy preserving ML and cleanroom workflows
- Financial services preferred
- Credit card or financial transaction data experience
Benefits
- 20% bonus
- Remote
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