Location: Remote role EST hours
Role Type: Individual Contributor (Business‑Facing)
Job Overview
We are seeking a seasoned Senior Data Scientist for an urgent contract to support critical GTM, Marketing, and Customer Success initiatives. This is not a product engineering role. It is a business‑facing, analytics‑driven position focused on developing, enhancing, and operationalizing lead scoring and propensity‑to‑buy models that directly influence revenue‑generating teams. The ideal candidate combines strong machine‑learning expertise with exceptional business communication skills and can operate independently in a fast‑paced, cross‑functional environment
Key Responsibilities:
Partner closely with GTM, Marketing, and Customer Success teams to understand business goals and translate them into actionable data science solutions
Build, refine, and operationalize lead scoring, propensity‑to‑buy, and other commercial ML models using Salesforce data, third‑party data providers, and enterprise data sources
Maintain and enhance existing ML models to ensure continuity, stability, and improved performance
Create clear business and technical artifacts, including
Ø Data flows
Ø Customer archetypes
Ø Model outputs
Ø Analytical insights and recommendations
Communicate model results and data‑driven insights in simple, non‑technical language tailored for business audiences
Collaborate with external data vendors to evaluate, integrate, and manage third‑party datasets
Work independently to quickly understand existing pipelines, ramp up fast, and contribute immediately
Required Skills & Experiencs
Strong business communication skills — able to engage independently with GTM, Marketing, Customer Success, data vendors, and cross‑functional teams.
Nice to have is experience building propensity‑to‑buy, lead scoring, conversion likelihood, or similar commercial ML models.
Hands‑on experience with Snowflake Cortex ML or similar ML platforms.
Advanced proficiency in SQL, Python, and Jupyter Notebooks.
Experience operationalizing models using Salesforce and enterprise data sources.
Ability to quickly understand existing models and enhance them without disrupting production workflows.
Demonstrated ability to produce clear business‑facing documentation and technical artifacts
Comfortable working in a large‑scale, cross‑functional environment with multiple stakeholders.
Ideal Candidate
A senior, business‑savvy data scientist who thrives at the intersection of analytics, machine learning, and GTM strategy. Someone who can communicate clearly, operate independently, and deliver immediate value by supporting revenue‑driving teams with actionable, data‑driven insights
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