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Director Data Analyst Machine Learning Jobs in Kansas

Data Analyst

Overland Park, KS · On-site

$70 - $95/hr

Data Analyst** for **Value-Based Insights** (VBI) is responsible for transforming Medicare (CMS ... Direct experience working with Medicare/CMS claims data (e.g., CCW, LDS, LDS/RIF files, or ...

New

Develop and deploy machine learning, predictive analytics, and prescriptive analytics, including ... Perform data visualization and statistical analysis to reduce waste, improve availability and ...

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

The Director advances data as a strategic institutional asset, enabling leaders to make faster ... Experience applying predictive analytics, machine learning, or AI capabilities to business or ...

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers ...

Showing results 21-40

Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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For Director Data Analyst Machine Learning jobs in Kansas, the most frequently searched job titles are:

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The top searched job categories for Director Data Analyst Machine Learning jobs in Kansas are:

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Cities in Kansas with the most Director Data Analyst Machine Learning job openings:

Data Scientist Specialist - Customer Service

Textron

Wichita, KS • On-site

Full-time

Posted 14 days ago


Textron rating

8.5

Company rating: 8.5 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

27th of 72 rated aerospace companies


Job description

JOB SUMMARY:
Data Scientists drive strategic initiatives by performing advanced analytics, predictive modeling, and machine learning on complex internal and external datasets. They leverage advanced mathematics, statistics, and code-first tools to deliver high-impact, actionable insights. Unlike Data Analysts, Data Scientists focus on building and validating models, conducting experiments, and generating recommendations that directly inform business strategy and operational transformation.
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.
EDUCATION/ EXPERIENCE:
• 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.
QUALIFICATIONS:
  • 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 (e.g. Polars, PySpark, Dask, etc.)
  • Experience with deep learning libraries (e.g. 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.
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

What Textron employees say

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Benefits

Hours and flexibility

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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923