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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 & technologiesCloudPythonTableau
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
predictive modelingstatistical modelsmachine learning algorithmsdata processingfeature engineeringdata pipelinesmodel packagingAPI integrationversion controldata analysis
Soft Skills
collaborationmentoringcommunicationproblem-solvingteamwork