Senior AI Data Scientist – Solutions Developer

Jobtailor; Arizona; On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior data scientist to design and implement predictive analytics and ML models. You will work with structured and unstructured data to build scalable solutions, deploy models within risk management frameworks, and document technical approaches for stakeholders.

You will mentor junior data scientists, collaborate with data engineering and IT, and stay current with AI methodologies and regulatory considerations.

Qualifications

• Requires bachelor’s in a quantitative field or 4 years of related education/experience with 6+ years in predictive analytics.
• Advanced degree plus 4+ years of predictive analytics experience is preferred.
• 4+ years training and validating statistical/ML models.
• 4+ years using Python for analysis and ML modeling.
• Experience writing clean, documented code.

Responsibilities

• Gather, interpret, and manipulate structured and unstructured data to enable analytical solutions.
• Develop scalable, automated ML/AI solutions.
• Select modeling techniques based on data limits and business needs.
• Develop and deploy models within risk management frameworks.
• Mentor junior data scientists and share knowledge.

Skills

Predictive Analytics

Machine Learning Model Development

Python for Statistical Analysis

SQL Querying and Preprocessing

MLOps Integration in AWS or GCP

Education

Bachelor's degree in a quantitative field

Advanced degree in mathematics/CS/stats/engineering or AI

Tools

LangChain

LangGraph

AgentCore

VertexAI

AWS

Job description

• • 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

Requirements

• 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, NoSQL, 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 LangChain/LangGraph, AgentCore, 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

Core Competencies

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.

Highest-signal resume keywords

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

ATS Optimization Keywords

Hard Skills

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

Soft Skills

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

Industry Keywords

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

Tools & Technologies

• Python
• SQL
• HQL
• NoSQL
• LangChain
• LangGraph
• AgentCore
• VertexAI
• AWS
• GCP