Senior AI/ML Data Scientist (GCP/BigQuery)

Job Title: Senior AI/ML Data Scientist (GCP/BigQuery) Location: Saint Louis, MO 63101 (Remote) Work Arrangement: Remote Employment Type: Contract Duration: 3+ months Pay Range: $61.71/hr. On W2 | $73.72/hr. on C2C Domain: Life Sciences / Biotechnology Application Deadline: July 15, 2026 SKILLS REQUIRED Primary (Must-Have): • Expertise in Google Cloud Platform (GCP) (Vertex AI, BigQuery ML, Dataflow, Cloud Run) • Strong Python programming skills (scikit-learn, TensorFlow/PyTorch, pandas, NumPy) • Deep experience in propensity modeling, recommendation engines, and predictive ML systems • Statistical analysis proficiency (causal inference, A/B testing, experimental design) • Proven track record of deploying production-grade ML models (End-to-End lifecycle) Secondary (Good to Have): • Hands-on experience with Generative AI and Agentic AI (LLMs, RAG, prompt engineering) • Experience designing feature stores and robust MLOps/model monitoring frameworks • Strong communication skills to bridge technical research with non-technical business strategy • Mentorship experience for junior data scientists and engineering teams POSITION OVERVIEW We are seeking a highly experienced Senior AI/ML Data Scientist to join a critical project, driving machine learning systems that power personalization, customer intelligence, and strategic decision-making. Working at the intersection of classical ML, statistical modeling, and emerging Generative and Agentic AI, you will partner with cross-functional product and engineering teams to transform complex datasets into measurable business impact. The ideal candidate will have a strong foundation in quantitative research and extensive experience operationalizing models within the GCP ecosystem. ROLES & RESPONSIBILITIES • Design, develop, and deploy production-grade predictive ML systems, including propensity models and recommendation engines, from conception to production. • Lead applied research and rigorous statistical analysis to inform model design, experimentation, and enterprise business strategy. • Build, train, and operationalize scalable models on Google Cloud Platform using Vertex AI, BigQuery ML, Dataflow, and Cloud Run. • Prototype and integrate cutting-edge Generative AI and Agentic AI capabilities into existing workflows and customer-facing products. • Collaborate with data engineering teams to architect feature stores, robust training pipelines, and production model monitoring frameworks. • Translate ambiguous business requirements into well-scoped technical solutions and present findings to diverse stakeholders. • Mentor junior team members and champion best practices in modeling, MLOps, and experimentation. BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.