Data Scientist II

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 II and Snr Data Scientist

Data Scientist II: Estimated annual base pay: $77,000 (min) $100,00 (mid) $123,00 (max)

Snr Data Scientist: Estimated annual base pay: $93,000 (min) $121,000 (mid) $149,000 (max)

• 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 

Data Scientist II:

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 datadriven 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.
• Visual Work instruction maintenance.

Other Requirements:

• Bachelor’s Degree in Technical/Engineering Field

Senior Data Scientist:

Key Responsibilities:

• Develop Advanced Data Models: Designs and implements sophisticated statistical and machine learning models to analyze complex datasets and generate actionable insights.
• Lead Data Projects: Manages end to end data science projects, ensuring timely delivery and alignment with business objectives.
• Mentor Team Members: Provides expertise and support to junior data scientists, fostering skill development and knowledge sharing.
• Collaborate with Cross Functional Teams: Partners with business units, IT, and other departments to integrate data solutions into organizational strategies.
• Solve Complex Data Challenges: Identifies and addresses intricate data problems, applying innovative methodologies and leveraging multiple information sources.

Key Skills:

• Data Analytics: Expertise in analyzing large datasets to extract actionable insights.
• Machine Learning: Proficiency in developing and deploying machine learning models.
• Statistical Modeling: Advanced knowledge of statistical techniques and their application.
• Project Management: Skilled in managing data science projects from initiation to completion.
• Programming: Proficiency in languages such as Python and R for data manipulation and analysis.
• Communication: Ability to explain complex data concepts to nontechnical stakeholders.
• Problem Solving: Aptitude for solving complex, data driven problems with innovative solutions.
• Data Visualization: Expertise in creating clear and impactful visual representations of data.
• Business Acumen: Understanding of industry trends and how data science integrates with business strategies.
• Mentorship: Ability to guide and support less experienced colleagues in data science practices.

Other Requirements:

• Bachelor’s Degree in Technical/Engineering Field and 4 plus years of relevant work experience.

Application window is anticipated to close 7 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.

• 2 years of related experience or a Master’s degree with relevant coursework or projects.
• Exposure to data science and engineering tools (e.g., SQL, Python, Airflow, dbt, cloud platforms) is a plus.