Senior Data Scientist

We are seeking a seasoned Senior Data Scientist for a critical contractor role on our client’s team. The ideal candidate combines strong technical depth with excellent communication skills and has proven experience supporting GTM, marketing, and commercial analytics initiatives. This role requires expertise in engaging with business stakeholders, understanding complex business processes, and collaborating with external data providers. Duration: 6 months Key Responsibilities Maintain, enhance, and troubleshoot existing complex machine learning models in production. Partner closely with GTM, marketing, and commercial teams to translate business needs into analytical solutions. Build, refine, and operationalize propensity‑to‑buy, lead‑scoring, segmentation, and customer‑lifecycle models. Work with external data providers to evaluate, integrate, and manage third‑party datasets for marketing and sales use cases. Develop and automate data science workflows using Python and ML Ops best practices. Build and deploy models using Snowflake Cortex ML. Write advanced SQL for data extraction, transformation, and analysis. Use Jupyter Notebooks for exploratory analysis, prototyping, and documentation. Apply core data science and machine learning methodologies to solve GTM and business‑driven problems. Required Skills & Experience Strong communication and stakeholder‑management skills. Advanced SQL proficiency. Strong Python and ML Ops automation experience. Expertise with Jupyter Notebooks. Deep understanding of data science and machine learning fundamentals. Experience working with external data providers and integrating third‑party datasets. Ability to operate independently in a fast‑paced environment with an urgent backfill timeline. Additional requirements: Experience with GTM, marketing, and sales teams is a plus Experience with propensity modeling, customer segmentation, and marketing analytics. Experience with Snowflake Cortex ML. We are an Equal Opportunity Employer Pay: $105.00 - $115.00 per hour Experience: Data science: 10 years (Required) SQL: 8 years (Required) MLOps: 8 years (Required) Python: 8 years (Required) GTM: 2 years (Preferred) Propensity modeling: 2 years (Preferred) Work Location: Remote