Principal Data Scientist, Spend Analytics & Predictive ML

Analytic Recruiting Inc.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Analytic Recruiting Inc. is seeking a Principal Data Scientist to build end-to-end ML systems over large-scale transaction data for Fortune 500 clients. You will ship models from research to production and shape the statistical foundations of spend analytics and predictive modeling.

You’ll mentor senior scientists, craft rigorous methodologies, and collaborate with stakeholders to transform cleaned spend data into high-value insights across products.

Qualifications

• 10+ years in ML/statistics with leadership in financial services.
• Experience with predictive modeling on transaction data.
• Strong background in weighting, calibration, bias correction.
• Experience with large-scale ML pipelines.
• Excellent communication and methodological rigor.
• Privacy-preserving ML and cleanroom workflows.
• Causal inference experience.
• Embeddings/representation learning.

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

ML leadership

Statistical modeling

Predictive modeling

Causal inference

Embeddings

Privacy preserving ML

Production ML pipelines

Model evaluation

Communication skills

Job description

Analytic Recruiting Inc. is seeking a Principal Data Scientist to build end-to-end ML systems over large-scale transaction data for Fortune 500 clients. You will ship models from research to production and shape the statistical foundations of spend analytics and predictive modeling.

You’ll mentor senior scientists, craft rigorous methodologies, and collaborate with stakeholders to transform cleaned spend data into high-value insights across products.