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

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

Type: Contract

Category: Data

Industry: Technology

Workplace Type: Remote

Reference : JN -

Date Posted: 07/14/2026

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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 -

• 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.

• 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 Big Query.

• 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.

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI‑assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be…