[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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