Data Scientist - Industrial/Manufacturing

Key Skills

Aartificial intelligence, Algorithms, C++, Cloud computing, Data science techniques, Docker, Java Programming, JavaScript, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Microsoft Office suites, Object-Oriented programming (OO languages), PowerBI, Python Programming, Statistical modeling

Job Description

BAE Systems in hiring a Data Scientist in San Diego, CA to support our Ship Repair business. The Planning Organization in San Diego Ship Repair is a trusted business partner delivering information and innovative solutions for decision-making in order to deliver quality products and capabilities to our customers and, ultimately, the warfighter. The Planning team plans, controls, and reports program performance relating to cost and schedule according to the Earned Value Management System (EVMS).

We are committed to employee growth and development allowing employees to build a long-term career at BAE Systems. In addition to challenging day to day assignments, employees are encouraged to pursue special projects, participate in formal and informal mentoring programs and networking events, and rotate into different roles with increasing levels of responsibility. BAE Systems also provides employees with opportunities to engage with and positively impact the internal and external community in which we work.

Responsibilities:

• Collaborate with planning team, project teams, operation leaders, and other leaders to support process improvements and business objectives
• Build advanced analytics including using industry 4.0 methods to improve ship repair processes
• Develop and improve processes and systems to enhance and expand data analytics and reporting capabilities
• Build and advance data models and data mining to deliver business insights to support leadership decision-making
• Apply advanced analytical tools and data science techniques to identify opportunities to reduce manufacturing costs and improve on-time delivery across projects
• Model Ship Repair processes using advanced statistical methods to minimize execution costs while maintaining schedule performance and quality standard
• Utilize relational databases (SQL), statistical analysis, visualization (Power BI and DAX language), general-purpose programing (Python, R), Microsoft Excel (Power Query- Power Pivots- VBA Macro), and Microsoft Access

Salary Range: $73,370 - $124,740

Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.

Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.

Required Education, Experience, & Skills

• Bachelor’s Degree in Computer Science, Statistics, Mechanical Engineering, or other STEM areas and 2 years of experience or equivalent experience
• Experience in Data Analytics in Manufacturing, Production, Industrial, Construction, or similar environment
• Proficient in the following tools or equivalent: databases (SQL), statistical analysis (SAS, SPSS, Minitab), data visualization (Power BI, Tableau, DAX language), and general-purpose programing (Python, R)
• Proficient in Microsoft Excel (Power Query, Power Pivots, VBA Macro)
• Proficient in Microsoft Access

Preferred Education, Experience, & Skills

• Master’s Degree in Data Science or Analytics a plus
• Experience in Defense Contracting or Ship Repair a plus
• Experience in ML/AI methods a plus
• Experience in time series analysis, multivariate models, hypothesis testing, A/B testing, inferential statistics, and/or causal analysis a plus