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 -12

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.

Recruitment Transparency Notice



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Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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