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Junior Data Strategy Jobs in Kansas (NOW HIRING)

Proven experience leading data science projects and teams, mentoring junior data scientists, and driving strategic initiatives. * Strong analytical skills, research capabilities, and careful ...

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 ...

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 ...

New

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 ...

New

Maintain an organized database of historical project costs and pricing data. * Assist in the pre ... Stay updated with industry trends, market conditions, and pricing strategies. Minimum Requirements:

Maintain an organized database of historical project costs and pricing data. * Assist in the pre ... Stay updated with industry trends, market conditions, and pricing strategies. Minimum Requirements:

Maintain an organized database of historical project costs and pricing data. * Assist in the pre ... Stay updated with industry trends, market conditions, and pricing strategies. Minimum Requirements:

New

Someone who can review a data model in the morning, present to management in the afternoon, and coach a junior analyst at the end of the day. At this team size, the manager must be both a strategic ...

You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ... Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ...

Collaborate with cross-functional teams to translate data-driven insights into product and strategy ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

... and strategy recommendations * Design and deploy data pipelines for annotation, training and ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ... Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ...

You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ... strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls ...

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Junior Data Strategy information

What does a junior data strategy professional do?

A Junior Data Strategy professional assists in analyzing data, developing strategies to leverage data for business goals, and supporting data-driven decision-making. They often work with more senior strategists to collect, clean, and interpret data, and help implement best practices for data management. Their role may involve creating reports, identifying trends, and supporting cross-functional teams to ensure effective use of data across the organization.

What are the key skills and qualifications needed to thrive as a junior data strategy professional?

To thrive as a Junior Data Strategy professional, you need a solid foundation in data analysis, business acumen, and a relevant degree such as in statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable business recommendations. These competencies ensure you can effectively support data-driven decision-making and contribute to organizational strategy.

What are typical responsibilities and collaborative dynamics for a junior data strategy professional?

As a Junior Data Strategy professional, you'll often support senior team members by collecting, cleaning, and analyzing data to inform business decisions. You may help prepare reports, contribute to data-driven presentations, and assist in developing data governance policies. This role frequently involves collaborating with departments such as IT, marketing, and business analytics to ensure that data solutions align with organizational goals. It's common to participate in cross-functional meetings, where your input helps shape strategies for data usage across the company.

What is the difference between Junior Data Strategy vs Data Analyst?

AspectJunior Data StrategyData Analyst
Required CredentialsBachelor's in Business, Data Science, or related field; some certificationsBachelor's in Statistics, Mathematics, or related field; often similar certifications
Work EnvironmentCollaborative teams, strategic planning, cross-departmental projectsData collection, cleaning, analysis, reporting
Employer & Industry UsageBusiness strategy teams, consulting firms, tech companiesFinance, healthcare, marketing, tech industries

Junior Data Strategy roles focus on supporting strategic initiatives and planning using data insights, often working closely with business teams. Data Analysts primarily analyze data sets to generate reports and insights. While both roles require similar educational backgrounds and certifications, Junior Data Strategists are more involved in strategic planning, whereas Data Analysts focus on data processing and analysis.

What are the most commonly searched types of Data Strategy jobs in Kansas?

The most popular types of Data Strategy jobs in Kansas are:

Senior Data Scientist

Wichita, KS • On-site

Textron
Aerospace Product and Parts Manufacturing • 10K+ employees

Full-time

Posted 4 days ago


Textron rating

8.5

Company rating: 8.5 out of 10

Based on 30 frontline employees who took The Breakroom Quiz


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.

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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