Data Scientist

Woodward is committed to creating a great workplace for all team members. Our company and its members are committed to acting with integrity, being respectful and accountable to one another, and staying humble and driven, while maintaining the highest professional and ethical standards. We are steadfastly committed to attracting the best talent across our communities, creating a rewarding workplace. Together we are fulfilling our purpose to design and deliver energy control solutions our partners count on to power a clean future. Woodward supports our members’ wellbeing and regularly benchmarks with other companies in our industry to offer an extensive Total Reward package for this position. Salary will be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.  Data Scientist I or II Level 1 Estimated annual base pay: $65,000- $85,000 Level 2   Estimated annual base pay: $77,000-$110,000 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   Level 1:

Data Collection and Cleaning: Gathers, preprocesses, and cleans data from various sources to ensure accuracy and completeness for analysis. Statistical Analysis: Applies statistical techniques to interpret data patterns and support data driven decision making. Report Generation: Creates and maintains reports and visualizations to present findings to team members and stakeholders. Model Implementation: Assists in implementing and maintaining machine learning models based on predefined methods and guidelines. Documentation Maintenance: Documents procedures, methodologies, and results to ensure reproducibility and ease of understanding for future reference. Key Skills: Data Analysis: Proficient in analyzing large datasets to uncover trends and patterns. Python Programming: Skilled in writing and debugging Python code for data manipulation and analysis. Statistical Modeling: Knowledgeable in applying statistical models to interpret data and make predictions. Data Visualization: Ability to create effective visualizations using tools like Tableau or Power BI. SQL Querying: Expertise in writing and optimizing SQL queries for data retrieval and management. Machine Learning: Familiarity with implementing basic machine learning algorithms for predictive analysis. Data Cleaning: Competent in preprocessing and cleaning data to ensure data quality and integrity. Reporting: Skilled in generating clear and concise reports summarizing data findings. Analytical Thinking: Strong ability to systematically analyze information to inform decision making.

Collaboration: Effective in working within a team environment to achieve data driven objectives Level 2:

Develop Predictive Models: Designs and implements 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