Senior Data Scientist & AI Engineer

Lance Fielder

Senior Data Scientist & AI Engineer

Aledo, TX 76008

(682) 253 - 1368

*******.***@*****.***

https://www.linkedin.com/in/lance-fielder-aa2800104 Summary

Senior Data Scientist and AI Engineer with 14+ years delivering machine learning, artificial intelligence, advanced analytics, predictive modeling, and cloud-based data solutions across aerospace, manufacturing, aviation, and technology organizations. Built scalable AI and machine learning platforms that reduced forecasting error by 40%, improved operational efficiency by 35%, and accelerated analytics delivery by 60% while supporting enterprise decision-making. Combines mastery in data science, MLOps, generative AI, statistical modeling, and cloud architecture to transform complex business challenges into measurable outcomes. Recognized for adaptability, creativity, curiosity, problem solving, persistence, and relationship- building while leading cross-functional initiatives from concept through production deployment. Brings sophisticated knowledge of machine learning engineering, AI product development, and enterprise analytics that consistently delivers business value and competitive advantage. Skills

Programming & Databases

Python, R, SQL, Scala, PostgreSQL, SQL Server, MySQL, MongoDB, Snowflake, Redis

Machine Learning & AI

Machine Learning, Artificial Intelligence, Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, Predictive Modeling, Recommendation Systems, Time Series Forecasting, Feature Engineering, Model Optimization, TensorFlow, PyTorch, Scikit-learn, LangChain, Hugging Face, XGBoost, Reinforcement Learning

Data & Analytics

Apache Spark, PySpark, Databricks, Airflow, ETL Pipelines, Data Modeling, Data Warehousing, Statistical Analysis, A/B Testing, Cohort Analysis, Experimentation, Business Intelligence, Power BI, Tableau, Data Governance, Data Quality, Feature Stores

Cloud & MLOps

AWS, Microsoft Azure, Google Cloud Platform (GCP), Azure Machine Learning, Amazon SageMaker, MLflow, Docker, Kubernetes, CI/CD, Git, Model Deployment, Model Monitoring, MLOps

Professional Skills

Leadership, Stakeholder Management, Adaptability, Flexibility, Creativity, Problem Solving, Curiosity, Emotional Intelligence, Persistence, Relationship-building, Resourcefulness Experience

Senior Data Scientist / AI Engineer

Textron Specialized Vehicles McKinney, TX Sep 2023 – Present

● Architected enterprise AI and machine learning solutions supporting manufacturing, supply chain, quality, and operational analytics initiatives

● Orchestrated cloud-native MLOps pipelines that shortened model deployment cycles by 65% while strengthening governance and monitoring capabilities

● Engineered predictive maintenance models utilizing IoT telemetry data that reduced unplanned equipment downtime by 28%

● Spearheaded generative AI initiatives leveraging large language models to augment engineering workflows and decrease research effort by 45%

● Championed enterprise AI adoption strategies that transformed data-driven decision making across operational departments

● Established model validation frameworks, drift detection processes, and automated retraining workflows supporting production reliability

● Realized scalable analytics capabilities through resourcefulness, adaptability, and sophisticated knowledge of modern AI ecosystems

● Mentored data professionals on machine learning best practices, experimentation methodologies, and responsible AI implementation

Senior Data Scientist

Textron Aviation Dallas, TX Apr 2022 – Sep 2023

● Developed advanced machine learning solutions supporting aircraft operations, maintenance optimization, and reliability analytics programs

● Implemented feature engineering frameworks integrating structured and unstructured datasets exceeding 50 million records

● Launched anomaly detection systems that reduced maintenance investigation time by 38% and improved operational visibility

● Deployed production-grade machine learning services using Docker, Kubernetes, MLflow, and cloud technologies

● Modernized model development workflows through automated experimentation frameworks that accelerated delivery by 55%

● Leveraged natural language processing techniques to extract actionable intelligence from technical maintenance documentation

● Governed machine learning lifecycle activities including monitoring, explainability, compliance validation, and performance optimization

● Elevated forecasting accuracy through advanced statistical modeling and ensemble learning approaches Data Scientist

Bell Flight Dallas-Fort Worth, TX Sep 2020 – Apr 2022

● Designed machine learning models supporting aerospace manufacturing, operational efficiency, and production planning initiatives

● Constructed predictive analytics frameworks that reduced manufacturing bottlenecks by 24% across critical workflows

● Integrated cloud data platforms and distributed computing technologies to process high-volume operational datasets

● Generated computer vision solutions for automated inspection processes that improved defect detection accuracy by 31%

● Introduced optimization algorithms that enhanced resource utilization and production scheduling effectiveness

● Performed advanced statistical analysis uncovering operational patterns that guided strategic planning decisions

● Accelerated reporting capabilities through scalable data pipelines and self-service analytics environments

● Enabled measurable operational improvements by combining machine learning techniques with deep business understanding

Data Scientist

Boeing Dallas-Fort Worth, TX Oct 2017 – Sep 2020

● Directed enterprise analytics initiatives supporting aerospace operations, supply chain optimization, and performance management programs

● Built predictive models that improved forecast accuracy by 30% and enhanced operational planning effectiveness

● Devised scalable data engineering pipelines processing millions of records from manufacturing and logistics systems

● Applied machine learning algorithms to identify process inefficiencies and reduce operational waste across business functions

● Synthesized complex data sources into actionable insights that improved executive decision-making speed by 50%

Data Scientist

Rackspace Technology San Antonio, TX Apr 2013 – Sep 2017

● Pioneered data science initiatives supporting cloud computing, customer intelligence, and product analytics platforms

● Designed recommendation engines that improved customer engagement metrics by 27%

● Created cohort analysis frameworks identifying retention opportunities and customer lifecycle optimization strategies

BI Solution Architect

Aviall, A Boeing Company Dallas-Fort Worth, TX May 2010 – Apr 2013

● Pioneered data science initiatives supporting cloud computing, customer intelligence, and product analytics platforms

● Designed recommendation engines that improved customer engagement metrics by 27%

● Created cohort analysis frameworks identifying retention opportunities and customer lifecycle optimization strategies

Education

The University of Texas at Dallas

Master of Science - MS, Data Science, 2011

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