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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Textron Inc. - **Location:** Wichita, KS, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Nvidia CUDA, Continuous Integration, Data Files, Data Visualization, Relational Databases, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Multiprocessing, Tensorflow, Azure Machine Learning, SQL Databases, Graphics Processing Unit (GPU), Cloud Platform System, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Parallel Computation, Generative AI, AI Coding Agents, Matplotlib, Pyspark, Scikit Learn, Information Technology, Data Analytics, Dask, Plotly, Machine Learning Operations, GPT, Software Version Control - **Published:** October 1, 2026 - **Apply:** https://www.nettemps.com/us/en/W42CFE893F69B3F27D4.ntap ## About the Role * Bachelor's degree required in Applied Mathematics, Statistics, Computer Science, Data Science, or related technical field/coursework. * Minimum 7 years of relevant experience required in data science, machine learning, artificial intelligence, predictive modeling, or advanced analytics. * Master's or PhD degree in Applied Mathematics, Statistics, Computer Science, Data Science, or related field preferred. * Aviation experience preferred., * Excellent written and verbal communication skills with the ability to explain complex technical concepts and analytical findings to both technical and non-technical audiences. * Practical application experience with Python (and associated libraries: pandas, scikit-learn, etc.), SQL, and statistical analysis. * Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar). * Advanced proficiency with tree-based algorithms and dimensionality reduction. * Experience working with relational databases and developing complex data sets. * Experience with generative AI concepts, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and comfortable with AI coding assistants. * Experience building, deploying, and managing machine learning solutions using cloud-native platforms (Azure ML, MLflow, AWS SageMaker, etc.), including MLOps practices such as version control, CI/CD, experiment tracking, model deployment, monitoring, and lifecycle management. * Commitment to continuous learning, adoption of emerging data science methodologies, and ethical, responsible AI practices. * Preferred experience in ML model training on multiple GPUs/CUDA. * Experience optimizing compute performance on large datasets using parallel processing and multi-core utilization techniques and packages (eg Polars, PySpark, Dask, etc.) * Experience with deep learning libraries (eg PyTorch, TensorFlow), transformer-based architectures, and advanced modeling techniques. * Strong linear algebra skills. * Proven experience leading data science projects and teams, mentoring junior data scientists, and driving strategic initiatives. * Strong analytical skills, research capabilities, and careful attention to detail. Textron Aviation Inc. must comply with U.S. export control laws and regulations. If a position requires access to sensitive information controlled under these laws and regulations, a successful applicant must be eligible to meet any requirements to access controlled information., Textron expects employees to use AI-enabled tools responsibly and effectively. Candidates should be comfortable learning and applying these tools, evaluating AI-generated output with sound judgment, and using AI in line with company policy and ethical standards. Prior experience with specific tools is not required - we value curiosity, adaptability, and good judgment. ## Description We are seeking an experienced Data Scientist to join our small, specialized, and highly motivated team that is implementing predictive maintenance and connected aircraft solutions for a large fleet of Textron Aviation aircraft. In this senior position, you will merge large scale time-series aircraft sensor data, parts, and maintenance records using a variety of machine learning, deep learning, AI, and visualization methods. You will keenly focus on maximizing the operational availability of customer jet, turboprop, and piston aircraft along with efficient aircraft maintenance practices. As a key part of your role, you will mentor and provide technical leadership to junior data scientists, foster creativity, and champion innovative, cutting-edge data science methodologies across the organization. At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy. JOB RESPONSIBILITIES: * Support data exploration, hypothesis testing, and foundational predictive analytics. * Independently develop machine learning models for classification, regression, clustering, and time-series analysis using Python and relevant libraries. * Collaborate with analysts and engineers to prepare and clean data for modeling. * Document methodologies and contribute to reproducible research practices. * Develop foundational understanding of the business domain, including aircraft OEM operations. * Apply advanced statistical techniques to evaluate model performance and business impact. * Work with large datasets using Python, SQL, and cloud-native platforms. * Communicate findings through technical documentation and stakeholder presentations. * Contribute to the development of analytics best practices and model governance. * Lead development of predictive models and advanced analytics workflows. * Mentor junior data scientists and contribute to team knowledge sharing. * Design experiments and causal inference studies to support strategic initiatives. * Collaborate with cross-functional teams to integrate models into business processes. * Champion adherence to governance frameworks and global data science standards. * Drive innovation in data science methodologies and tools. * Influence enterprise-wide strategy through advanced modeling and simulation. * Lead cross-domain projects involving deep learning, NLP, or advanced time-series forecasting. * Advocate for ethical AI practices and model interpretability. * Serve as a thought leader in data science governance, ensuring consistency and quality across teams.