Data Scientist - AI Propensity Modeling

Salary: $166,400 - 187,200 per year
Requirements:
We are looking for experience building and evaluating machine learning models such as classification, regression, and clustering in cloud environments using Python. We need prior experience with propensity-to-buy modeling. We value experience working with large language models and other ML approaches. Strong SQL expertise is required, including complex queries across cloud data warehouses such as Snowflake, Redshift, or BigQuery. Hands-on experience with Jupyter Notebooks and ML libraries such as scikit-learn and pandas is important. A background in SaaS go-to-market metrics, including pipeline generation, SDR workflows, customer success, or product usage analysis, is preferred. Excellent communication skills for both technical and business audiences are required. We are seeking a collaborative, proactive professional who is comfortable working independently in a matrixed environment. You should be able to work through ambiguity and changing priorities while continuing to make progress.
Responsibilities:
We partner with sales, marketing, SDR, and customer success teams to turn business questions into analytical goals. We proactively collaborate with stakeholders to uncover use cases, test assumptions, and refine model outputs. We build and analyze machine learning models for lead scoring and customer propensity using Snowflake Cortex or similar platforms. We develop in Jupyter Notebooks and use advanced SQL to explore, profile, and validate data. We improve and operationalize existing models, including an in-progress propensity-to-buy prototype. We assess data quality, identify gaps in coverage, and independently profile unfamiliar datasets. We create clear business and technical deliverables such as data flows, archetypes, and validation summaries. We present findings in straightforward language and translate predictions into recommended business actions. We document key use cases, data objects, and validation results for business stakeholders. We work with autonomy, navigate a matrixed organization, and keep momentum without heavy direction. We move quickly, iterate often, and deliver production-ready contributions with a bias for action.
Technologies:
Redshift BigQuery Cloud Support Jupyter Machine Learning Marketing Python SQL Snowflake pandas AI LLM
More:
We are hiring a remote Data Scientist to help operationalize lead scoring and propensity-to-buy models that support go-to-market strategy. In this hands-on role, we work closely with GTM, Marketing, Customer Success, and sales stakeholders to turn product usage and behavioral signals into actionable insights that improve sales prioritization, churn risk detection, and expansion opportunities. We offer W2 and corp-to-corp consulting options, and for W2 consultants we provide medical, dental, and vision coverage, a 401(k) with company match, life insurance, and additional benefits. We are Eliassen Group, a strategic consulting firm with nearly 40 years of experience delivering technology, business advisory, and life sciences solutions, and we are committed to building a diverse, inclusive team and supporting meaningful outcomes for our employees, clients, consultants, and communities.
last updated 30 week of 2026