Data Scientist - Data Platforms - I&D

St. Louis, MO, United States (On-site) Contract (3 months 17 days) Published 16 hours ago ML Platforms ML Frameworks mlops data engineering cost optimization Python AI Governance AI automation monitoring

• We are seeking a highly skilled Data Scientist Lead to drive enterprise AI/ML strategy, predictive analytics, and intelligent automation initiatives across our large-scale database and cloud ecosystem. This role will lead the design and deployment of advanced machine learning models, AI-driven monitoring solutions, and data science frameworks that enhance performance, reduce risk, optimize costs, and enable data-driven decision-making.
• The ideal candidate combines strong hands-on data science expertise with leadership capability, strategic thinking, and cross-functional collaboration experience., AI/ML Strategy & Leadership:
• Define and execute the enterprise AI/ML roadmap aligned with business objectives.
• Lead development of predictive maintenance, anomaly detection, and capacity forecasting models.
• Establish best practices for ML lifecycle management (ML Ops).
• Partner with Engineering, Cloud, Security, and Operations teams to embed AI into core platforms.

Advanced Analytics & Modeling:

• Design, develop, and deploy machine learning models (regression, classification, clustering, time-series forecasting).
• Implement predictive performance analytics for database infrastructure.
• Develop cost optimization and workload forecasting models.
• Leverage Generative AI for automation of operational tasks.

Data Engineering & Architecture Alignment:

• Collaborate with database and cloud architects on scalable data pipelines.
• Design data ingestion, feature engineering, and model training workflows.
• Ensure data quality, governance, and compliance standards are met.

Team Leadership & Mentorship:

• Lead and mentor a team of data scientists and ML engineers.
• Drive cross-training and upskilling within Database Services.
• Establish coding standards, documentation, and model validation processes.
• Provide executive-level reporting and insights.

Operationalization & Governance:

• Deploy models into production environments with monitoring and retraining pipelines.
• Implement explainability and model validation frameworks.
• Ensure AI governance, audit readiness, and ethical AI standards., This role will:
• Improve infrastructure reliability through predictive insights
• Reduce operational costs via AI-driven optimization
• Accelerate modernization initiatives
• Enhance compliance and risk management
• Enable intelligent automation across database services

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.
• 12+ years of experience in data science, analytics, or machine learning.
• 3+ years in a leadership or senior technical role.
• Strong programming skills in Python (Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
• Experience with SQL and large-scale databases.
• Expertise in statistical modeling and machine learning algorithms.
• Experience deploying ML models in cloud environments (AWS, GCP, OCI).

Preferred Qualifications:

• Experience with LLMs, RAG frameworks, or Generative AI applications.
• Knowledge of ML Ops tools (MLflow, Kubeflow, SageMaker, Vertex AI).
• Experience in database performance analytics or infrastructure optimization.
• Familiarity with compliance frameworks (SOX, security governance).
• Experience in multi-cloud or hybrid cloud environments.

Core Competencies:

Technical:

• Predictive modeling
• Time-series forecasting
• Anomaly detection
• AI automation
• Data pipeline architecture
• ML Ops

Leadership:

• Strategic thinking
• Cross-functional collaboration
• Executive communication
• Mentorship and team development
• Ownership & accountability

Behavioral:

• Data-driven decision making
• Problem-solving mindset
• Continuous learning
• Innovation-driven

$36.98 - $57.79 an hour - Contract, Pulled from the full job description

• Health insurance
• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.