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.