Data Scientist - Data Platforms - I&D

St. Louis, MO, United States (On\-site)

Contract (3 months 17 days)

Published 10 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.

Key Responsibilities:

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.

Required Qualifications:

• 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

Business Impact:

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

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.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non\-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.