F35 Production Engineering - Data Scientist Analyst Stf
Basic Qualifications
- Bachelor's degree or higher in Computer Science, Information Systems, or a related field.
- 2+ years supporting/creating AI/ML systems
- Experience in building data models for end user consumption, optimizing queries and data structures for analytic purposes
- Experience with Python or R, especially relating to data orchestration tasks
- Experience writing data transformation jobs (e.g. metrics, aggregations, etc.) using SQL
Job Description
You will be the Data Scientist Analyst Stf (Level 4) for the F35 Production Engineering Team. Our team is responsible for transforming refined data into actionable insights that drive Manufacturing Engineering, Manufacturing Planning and Production Operations decisions and delivering business-ready data products. In this highly visible role you will report directly to the F35 Production Engineering Strategic Operations Sr Manager and have periodic reporting to the Production Engineering Director. This new role will help shape the future of Data Analytics within the PE organization. This role will lead the transition from current Data Analytics products such as Tableau Dashboards into AI adoption. This role will serve as the primary for development and integration of AI products into the organization as well as working with the leadership to develop a pathway to larger scale AI adoption.
What’s In It For You
- 3 day weekends every weekend!
- Comprehensive benefits investing in your future and security
Desired Skills
- Experience in entity-relationship modeling, data warehousing, and big data modeling
- Familiarity with Production Operations, specifically within a manufacturing environment
- Understanding of Manufacturing, Quality or Operations Engineering roles
- Excellent communication and collaboration skills, with the ability to work closely with data architects, developers, and business stakeholders
- Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify patterns, trends, and insights
- Strong knowledge of data management principles, best practices, and standards, including data governance, data quality, and data security
Other Important Information
- Ability to work remotely