[Remote] Principal Data Scientist, Quantitative Intelligence (Consumer Transaction Data)

Note: The job is a remote job and is open to candidates in USA. Analytic Recruiting Inc. is recruiting for an unnamed client, a leader in consumer purchase data and analytics. The Principal Data Scientist will lead the development, production deployment, and monitoring of statistical methods and machine learning models built on consumer transaction data, while guiding other data scientists and setting technical direction.

Responsibilities

• Own models end to end: design the methodology, build it, deploy it to production and monitor it
• Build the statistical layer that makes analysis on the data trustworthy: panel weighting, balancing, normalization, cohorting and bias correction
• Build predictive models from past behavior, such as spend prediction, category and brand trend forecasting, propensity and churn, and behavioral embeddings
• Apply causal methods (incrementality, synthetic control, uplift) where the problem calls for them
• Set technical direction, review the team’s work, and explain and defend methodology to stakeholders and clients

Skills

• Hands-on experience with credit card or card transaction data
• A track record of shipping ML and statistical models to production yourself, not just analysis or prototypes
• Strong production engineering in Python and SQL on a cloud data warehouse
• A deep statistics foundation: sampling, weighting and calibration, bias correction, and judging when a result can be trusted
• Predictive modeling and forecasting built on raw, transaction-level behavioral data
• [8+] years of experience, including leading the technical work of other data scientists
• Clear, concise communication of methodology
• Causal inference and experimentation, as a complement to ML
• Representation learning and embeddings
• Privacy-preserving ML and data clean rooms

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