Senior Data Scientist / ML Architect

Job Title: Senior Data Scientist / ML Architect Location: Remote (U.S.) Duration: 5 months to start, potential for extension Experience Required: 11–14 Years Overview We are building an internal marketing insights platform that transforms historical marketing content into actionable business intelligence. The platform is evolving from a static, single-source prototype into a continuously updated, multi-channel marketing intelligence solution. We are seeking a Senior Data Scientist / ML Architect with strong expertise in NLP, machine learning, LLMs, and experimentation to help scale and enhance the platform. Key Responsibilities • Enhance existing content-processing workflows and develop new pipelines to support additional marketing data sources. • Improve clustering and content similarity models that enable searchability and comparison of marketing assets. • Optimize and evaluate the SQL agent that provides natural language access to marketing data. • Design and execute evaluation frameworks for platform insights, including A/B testing and performance measurement. • Partner closely with Marketing stakeholders and Data Engineers to ensure solutions drive measurable campaign impact. • Build and deploy ML-powered services and APIs using Python and FastAPI. • Support continuous improvement of data science and AI capabilities across the platform. Required Qualifications • 11–14 years of experience in Data Science, Machine Learning, or AI-focused roles. • Strong applied ML and Data Science background with hands-on experience in: • Natural Language Processing (NLP) • Unsupervised learning and clustering techniques • LLM APIs and agentic frameworks (e.g., LangGraph) • Experience designing, executing, and analyzing A/B tests. • Strong Python development skills, including API development with FastAPI. • Advanced SQL skills. • Working knowledge of cloud infrastructure and modern data platforms. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience working with marketing or MarTech platforms such as: • Braze • Marketo • Facebook Ads • Google Ads • Experience with content and asset management systems (e.g., Adobe Experience Manager - AEM). • Familiarity with analytics and data warehouse platforms such as: • BigQuery • Cloud-based data warehouses Technical Environment • Python • FastAPI • SQL • NLP & Machine Learning • Large Language Models (LLMs) • LangGraph • Cloud Infrastructure • Marketing Analytics Platforms Applicant Notices & Disclaimers • For information on benefits, equal opportunity employment, and location-specific applicant notices, click here At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's starting pay is: $55.00/hr.