Woodward, Inc

Data Scientist

Woodward, Inc • $65K — $110K *
Fort Collins, CO 80525Hybrid
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data analysis and statistical modeling is preferred.
  • Proficient in Python and SQL programming languages for data manipulation.
  • Skilled in statistical analysis and machine learning techniques.
  • Strong understanding of data visualization tools like Tableau or Power BI.
  • Excellent communication skills for presenting analytical findings.
  • Experience mentoring junior team members is advantageous.
  • Proven ability to collaborate across teams and understand business requirements.

Responsibilities

  • Gather, preprocess, and clean data from various sources for accuracy.
  • Apply statistical techniques to analyze data and inform decisions.
  • Generate reports and visualizations to communicate findings.
  • Assist in the implementation and maintenance of machine learning models.
  • Maintain documentation to ensure reproducibility of methods and results.
  • Design and implement predictive models for complex datasets.
  • Collaborate with cross-functional teams to develop data-driven solutions.

Benefits

  • Annual cash bonus opportunity for all members.
  • 401(k) match of 4.5%.
  • Tuition reimbursement and professional development opportunities.
  • 12 paid holidays, including flexible holidays.
  • Comprehensive medical, dental, and vision insurance from day one.
  • Paid parental leave and adoption assistance.
  • Employee assistance program with mental health benefits.
Full Job Description
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.

About Woodward, Inc

Woodward, Inc. is an independent designer, manufacturer, and service provider of control solutions for the aerospace and industrial markets. The company's innovative fluid, combustion, electrical, and motion control systems help customers offer cleaner, more reliable, and more efficient equipment. Woodward is headquartered in Fort Collins, Colorado, USA, and serves customers worldwide.
Learn more about Woodward, Inc
Size
7,200 employees
Market Cap
$5.6 billion
Industry
Aerospace & Defense
Net Income
$228.5 million
Founded
1870
5 Year Trend
+2.6%
Revenue
$2.3 billion
NASDAQ
WWD
* Ladders Estimates

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