Data Scientist-AI – GTM/Propensity to Buy Modeling.

Description Remote Our client seeks a Data Scientist to operationalize lead scoring and propensity-to-buy models that inform go-to-market strategy. You will partner with GTM, Marketing, and Customer Success to translate product usage and behavioral signals into actionable insights that drive sales prioritization, churn risk detection, and expansion opportunities. This is a hands-on role owning the end-to-end workflow from problem framing and data validation to model development and productionization, with clear communication to business stakeholders and rapid iteration in a complex data environment. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80.00 to $90.00/hr. w2 JN -072026-107912 Responsibilities • Partner with sales, marketing, SDR, and customer success stakeholders to translate business questions into analytical objectives. • Proactively engage stakeholders to identify use cases, validate assumptions, and gather feedback on model outputs. • Build and analyze ML models for lead scoring and customer propensity using Snowflake Cortex or similar platforms. • Develop in Jupyter Notebooks and write advanced SQL to explore, profile, and validate data. • Enhance and operationalize existing models, including an in-progress propensity-to-buy prototype. • Assess data quality, identify coverage gaps, and independently profile unfamiliar datasets. • Create clear business and technical artifacts including data flows, archetypes, and validation findings. • Present findings in simple language and translate predictions into recommended business actions. • Document key use cases, data objects, and validation results for business consumption. • Operate with autonomy, navigate a matrixed organization, and maintain momentum without extensive direction. • Bias toward action and iteration to deliver production-quality contributions quickly. Experience Requirements • Proven experience building and analyzing ML models such as classification, regression, and clustering using cloud platforms and Python. • Experience with Propensity to buy (P2B) models. • LLM, ML Model experience. • Strong SQL skills with complex queries across cloud data warehouses like Snowflake, Redshift, or BigQuery. • Experience with Jupyter Notebooks and ML libraries such as scikit-learn and pandas. • Background with SaaS GTM metrics including pipeline generation, SDR workflows, customer success, or product usage analysis. • Exceptional communication skills with both technical and business audiences. • Collaborative and proactive work style with comfort operating autonomously in a matrixed environment. • Comfort with ambiguity and shifting requirements while maintaining progress. Education Requirements