Senior AI Data Scientist – Solutions Developer

• • Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions
• • Develop scalable, automated solutions using machine learning, simulation, and optimization
• • Select modeling techniques and technologies based on data limitations, application, and business needs
• • Develop and deploy models within the Model Development Control and Model Risk Management frameworks
• • Compose technical documents for knowledge persistence, risk management, and technical review audiences
• • Assess business needs and recommend analytical and modeling projects
• • Prioritize analytics and modeling problems with business and analytics leaders
• • Build and maintain reusable, production-quality algorithms and supporting code
• • Translate business requests into analytical questions, execute analyses or modeling, and communicate actionable recommendations to non-technical colleagues
• • Manage project milestones, risks, and impediments; escalate issues that could limit success
• • Develop deployment best practices with Data Engineering and IT
• • Maintain awareness of cutting-edge techniques, technologies, and methodologies
• • Mentor junior data scientists
• • Participate in internal communities supporting data science technology and culture
• • Identify, measure, monitor, and control risks in accordance with policies and procedures

• Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or a quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in predictive analytics or data analysis
• Advanced degree in mathematics, computer science, statistics, science and engineering, AI, or a similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis
• 4+ years of experience training and validating statistical, physical, machine learning, and other advanced analytics models
• 4+ years of experience using Python for statistical analysis and/or building and scoring AI/ML models
• Experience writing transparent, well-documented, and commented code
• Strong experience querying and preprocessing structured and/or unstructured data using SQL, HQL, No
  
  SQL, or similar query languages
• Skill in ad-hoc descriptive, diagnostic, and inferential statistics
• Understanding of latency, cost, and reliability constraints in AI solution design
• Ability to assess and articulate regulatory implications across risk stripes
• Experience documenting and statistically validating models for risk management
• Advanced experience with supervised modeling, including regression, discriminant analysis, support vector machines, decision trees, and forest models
• Advanced experience with unsupervised modeling, including k-means, hierarchical/agglomerative clustering, neighbors algorithms, and DBSCAN
• Expertise developing LLMs and agentic systems using frameworks such as Lang Chain/Lang Graph, Agent Core, VertexAI, MCP, or others
• Proven experience with prompt engineering, tuning and post-training, multi-agent systems, agent optimization and tool use, RAG, context optimization, observability, and monitoring
• MLOps integration experience facilitating production-scaled AI solutions in AWS or GCP
• Experience communicating analytical and modeling results to non-technical business partners
• Experience guiding and mentoring junior technical staff
• Relocation assistance is not available
• Must not require visa sponsorship or immigration support now or in the future

Demonstrates expertise in predictive analytics and data analysis, with a strong focus on developing and deploying machine learning models and algorithms. Proficient in communicating complex analytical results to non-technical stakeholders and mentoring junior data scientists.

• Predictive Analytics
• Machine Learning Model Development
• Python for Statistical Analysis
• SQL Querying and Preprocessing
• MLOps Integration in AWS or GCP

• Predictive Analytics
• Machine Learning
• Statistical Analysis
• Model Validation
• Algorithm Development
• Data Manipulation
• Model Risk Management
• Supervised Modeling
• Unsupervised Modeling
• Prompt Engineering

• Communication
• Mentoring
• Project Management
• Problem Solving
• Collaboration

• Data Science
• Risk Management
• Model Development Control
• Data Engineering
• AI Solutions

• Python
• SQL
• HQL
• No
  
  SQL
• Lang Chain
• Lang Graph
• Agent Core
• VertexAI
• AWS
• GCP