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: Key Responsibilities: 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. Team Collaboration: Effective in working within a team environment to achieve data driven objectives Level 2: Key Responsibilities: 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 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. Key Skills: Data Analysis: Proficient in analyzing large and complex datasets to identify trends and derive actionable insights. Statistical Modeling: Expertise in developing and applying statistical models to support business decision making processes. Machine Learning: Skilled in designing, implementing, and evaluating machine learning algorithms for predictive analytics. Programming: Advanced proficiency in programming languages such as Python and R for data manipulation and analysis. Data Visualization: Ability to create clear and informative visualizations using tools like Tableau, Power BI, or matplotlib. Problem Solving: Capable of identifying issues and developing effective solutions using technical expertise and analytical judgment. Communication: Effectively conveys complex data findings to nontechnical stakeholders in a clear and understandable manner. Business Acumen: Understands key business drivers and aligns data science projects with organizational goals and strategies. Collaboration: Works effectively within team environments, providing informal guidance and support to new team members. Data Management: Knowledgeable in data warehousing, data cleaning, and database management to ensure data integrity and accessibility. Successful Candidates Will Have: Documented experience using Power BI in a collegiate or professional setting Application window is anticipated to close 5 days from original posting date. This information is provided in compliance with the Colorado Equal Pay for Equal Work Act and is the company’s good faith and reasonable estimate of the compensation range and benefits offered for this position. The compensation offered to the successful applicant may vary based on factors including experience, skills, education, location, and other job-related reasons. This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). All applicants must be U.S. Persons within the meaning of the ITAR and EAR, or eligible to obtain all required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce. The ITAR defines a U.S. Person as a U.S. citizen or national, lawful permanent resident (i.e., 'Green Card holder'), or a protected person (e.g., asylee, or refugee). Woodward is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, sex (including sexual orientation and gender identity), national origin, age, disability, protected veteran status, or any other category protected under federal, state, or local laws.