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Woodward, Inc.

Data Scientist, Level II, Senior – AI, Scalable Analytics Solutions

Woodward, Inc.

Data Scientist developing predictive models and collaborating with teams. Responsible for data processing, mentoring, and integrating data-driven solutions within the organization.

Posted 4/23/2026full-timeNiles • Illinois • 🇺🇸 United StatesSenior💰 $77,000 - $123,000 per yearWebsite

Tech Stack

Tools & technologies
CloudPythonTableau

About the role

Key responsibilities & impact
  • Develop Predictive Models: Designs and implement statistical models and machine learning algorithms to analyze complex datasets and generate actionable insights.
  • Data Processing and Management: Collects, cleanses, and organizes largescale data from various sources to ensure accuracy and reliability for analysis.
  • Collaborate Across Teams: Partners with cross functional teams to understand business requirements and integrate data driven solutions into organizational processes.
  • Mentor Junior Team Members: Provides informal guidance and support to new data scientists, fostering skill development and knowledge sharing within the team.
  • Communicate Analytical Findings: Presents complex data insights and technical information to stakeholders in a clear and understandable manner, facilitating informed decision making.
  • ML Infrastructure Support: Assists in configuring and maintaining the compute and storage infrastructure needed to train and serve models, including cloud-based environments and containerized workflows.
  • Feature Engineering & Data Pipelines: Builds and maintains repeatable, automated pipelines for feature extraction, transformation, and loading to support model training and inference.
  • Model Packaging & API Integration: Packages trained models for consumption via REST APIs or internal services, enabling downstream integration with business applications and dashboards.
  • Version Control & Reproducibility: Applies software engineering best practices including version control (Git), experiment tracking, and environment management to ensure models are reproducible and auditable.

Requirements

What you’ll need
  • 3+ years of experience in data science or related fields
  • Proficient in analyzing large and complex datasets to identify trends and derive actionable insights
  • Expertise in developing and applying statistical models to support business decision making processes
  • Skilled in designing, implementing, and evaluating machine learning algorithms for predictive analytics
  • Advanced proficiency in programming languages such as Python and R for data manipulation and analysis.
  • Ability to create clear and informative visualizations using tools like Tableau, Power BI, or matplotlib.
  • Strong knowledge of data warehousing, data cleaning, and database management to ensure data integrity and accessibility.
  • Familiarity with Git, CI/CD basics, and containerization fundamentals to support reproducible and maintainable model development workflows.

Benefits

Comp & perks
  • All members included in annual cash bonus opportunity
  • 401(k) match (4.5%)
  • Annual Woodward stock contribution (5%)
  • Tuition reimbursement and Training/Professional Development opportunities for all members
  • 12 paid holidays, including floating holidays
  • Industry leading medical, dental, and vision Insurance upon date of hire
  • Vacation / Sick Time / Vacation Buy-up / Short Term Disability / Bereavement leave
  • Paid parental leave
  • Adoption Assistance
  • Employee Assistance Program, including mental health benefits.
  • Member Life & AD&D / Long Term Disability / Member Optional Life
  • Member referral bonus
  • Spouse / Child Optional Life / Optional AD&D / Healthcare and Dependent Care Flexible Spending
  • Voluntary benefits, including: Home / Auto Insurance discounts Whole Life Insurance / Critical Illness Insurance / Legal Assistance / Military Leave

ATS Keywords

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Hard Skills & Tools
predictive modelingstatistical modelsmachine learning algorithmsdata processingfeature engineeringdata pipelinesmodel packagingAPI integrationversion controldata analysis
Soft Skills
collaborationmentoringcommunicationproblem-solvingteamwork