Data Scientist (Mid-Career Level)

About the Position:

Do you have a passion for turning data into valuable insights? If so, consider this exciting opportunity to join General Dynamics as a Data Scientist. We are looking for an analytics practitioner with strong critical thinking skills who embraces data wrangling.

As a Data Scientist on the Engineering Operations & Continuous Improvement team, you will be engaged in the data supporting our business intelligence system. This means you will be asked to:

• Investigate the context and business practices behind data
• Manipulate the raw data into a useable form
• Analyze and interpret the data using statistical tools and methodologies
• Develop data models for new and existing dashboards
• Design new visualizations and dashboards to support organizational decision making
• Extract meaningful insights from multiple data sources
• Utilize data analysis to support continuous improvements and identify processing efficiencies
• Guide organization in future-focused data process and tool goals and decisions

Company Information

General Dynamics is a successful Fortune 100, global aerospace and defense company, with over 90,000 employees world-wide. General Dynamics Land Systems, a business unit of General Dynamics, has a strong foundation of delivering core engineering and manufacturing capabilities to our clients for military vehicles. Our team is focused on continuous process and productivity improvements that reduce product costs, while increasing troop safety and effectiveness. Land Systems continues to work with the US Armed Forces and its Allies to ensure these vehicles remain survivable, relevant, flexible, affordable and capable of addressing a dynamic threat environment.

What We Offer

Starting your career or you are an experience professional, we offer a Total Rewards package that is Impactful and built for you.

• Healthcare including medical, dental, vision, HSA and Flex Spending
• Competitive base pay and incentive pay that rewards individual and team performance, and comprehensive benefits.
• 401k Match (6%)
• Educational Assistance
• 9-80 Work Schedule (This position's standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off)
• On-going learning opportunities within a diverse, inclusive and rewarding work environment
• Onsite cafeteria, fitness center, and outdoor fitness track

Responsibilities to Anticipate/Expect:

• Understand the engineering development processes and associated data to enable smarter business processes through analytics
• Collaborate with project teams, process owners & stakeholders to identify business intelligence requirements for their organization and project needs.
• Propose and deploy analytic strategies that would be beneficial
• Provide and communicate data driven findings to stakeholders of various levels of expertise
• Proactively participate in developing business intelligence (BI) and predictive analytic solutions using a variety of techniques ranging from data aggregation to data mining
• Process raw data, analyze and identify patterns, trends, anomalies and relationships leading to valuable insights for the engineering organizations
• Develop data structures for the raw data to support efficient data retrieval and analysis
• Model front-end and back-end data sources to help draw a more comprehensive picture of process flows throughout the system to enable data analysis
• Develop data visualizations in a business intelligence tool
• Utilize structured thinking in ambiguous problem spaces and deliver solutions
• Develop models to support forecasting and predictive analysis to answer questions for stakeholders & identify process improvement
• Conduct root cause analysis utilizing the supporting data
• Actively participate and drive conversation on company data strategy and direction

Minimum Qualifications:

• Bachelor's degree in Data Science, Computer Science, Engineering or relevant field
• 5 - 7 years of experience
• Experience in large scale engineering and manufacturing industry
• Background in data structure, manipulation and reporting
• Inquisitive, curiosity, proactive and interested in learning new tools and techniques
• Well-organized, self-started, independent and ready to work with minimal supervision
• Comfortable working in an environment where problems are not always well-defined
• Positive can-do attitude with ability to be flexible and open to changes in requirements and direction
• Must be able to obtain/maintain DOD Secret security clearance (Non-US Citizens may not be eligible)

Preferred Skills and Experience:

• Build data pipelines that clean transform and aggregate data from disparate sources
• Ability to apply data mining, data cleaning and transformation techniques
• Working knowledge of relational databases, SQL query language, time series and unstructured datasets
• Statistical analysis tools and programming languages such as Python, R, SQL, etc.
• Quantitative modeling and statistical analysis skills
• Capable of using data visualization software (preferably Power BI)
• Knowledge of processes and tools that secure data
• Ability to communicate in simple terms complex mathematical and statistical concepts and how they relate to business challenges
• Understanding of process improvement methods, tools and techniques
• Working knowledge of machine learning programming principals and techniques
• Technical engineering (mechanical and/or electrical) background and experience in automotive or heavy vehicle applications a plus
• Familiarity with Teamcenter and/or TCRA (TeamCenter Reporting Analytics) a plus

Additional Information:

• Able to work overtime when required
• Limited travel may be required
• Ability to report on-site as the primary work location

You may not check every box, or your experience may look a little different than what is outlined, but if you can provide value, we encourage you to apply.