Senior Data Scientist/Senior Data Analyst / Orlando, FL

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Basic Qualifications

- B.S. in Computer Science, Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related discipline.
- Manufacturing industry experience with exposure to process and factory modeling and simulation from formulation of requirements and data collection to model validation and deployment.
- Solid understanding of data quality and data issues as they relate to model validation.
- Experienced in data extraction, data wrangling, and script development and automation. Proficient in SQL, and in R and/or Python.
- Experienced and interested in pattern recognition in data, classification, and prediction via machine learning in a manufacturing environment focused on reducing maintenance costs.
- Project experience with Lean methods, Six Sigma, and other process improvement approaches. Able to define and articulate the current and target states (A3 thinking) and perform root cause analyses (RCAs) from symptoms and FMEAs.
- Familiar with statistical tools/concepts and able to perform model sensitivity analysis under uncertainty.
- Ability to assess problems and situations from a broad conceptual perspective and back suggestions up with data and mathematical analysis.
- Experience with MS Office suite, including Excel and Visio.

Note: The selected candidate will be required to obtain an interim Secret security clearance prior to starting.

Executive Order

COVID-19 continues to significantly impact our employees, families and communities. With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID variants pose in the workplace and ensuring we meet our commitments to national security.

To uphold safety for all employees, we will continue to request vaccination status for all Lockheed Martin employees including new hires. All current and newly hired employees who are unvaccinated will be required to adhere to onsite safety protocols.

Job Code/Title

E1473:Research Engineer Sr

Job Description

With the organization undergoing a digital transformation (DX) and moving towards the realization of Digital Twins, and with Prod Ops and Manufacturing engaged in delivering an interconnected, optimized virtual manufacturing environment, we are looking for people with the drive and the skills to help us turn this goal into a reality in the shortest time possible.

In this role, you will:
- support data-intensive manufacturing simulation and process improvement initiatives by performing data extraction, preparation, and analysis.
- carry out audits of data sources. Perform data wrangling as needed to develop datasets of a quality suitable for use in models and for advanced analytics. Develop reusable scripts to automate data extraction from data sources (ex. SAP, Apriso) and populate models with validated information.
- help develop standards for data quality in modeling.
- drive progress on the data front with an overarching goal of achieving real-time connectivity between data producers and data consumers.
- have a strong interest in data science and machine learning (ML). Be willing to explore new opportunities for ML applications in a manufacturing and production operations environment focused on digital transformation and with a growing commitment to predictive asset maintenance.
- support your team as needed, and work collaboratively with technical specialists and subject matter experts (SMEs) as well as internal customers, engaging them independently whenever necessary.
- exhibit solid time management skills in an uncertain, fast-changing environment.
- be willing to travel as needed to support staff at sites and understand data issues at the source.
- provide management with evidence-based recommendations to support decision making for investment in new processes and in automation and data analysis tools, with the overarching goals of maximizing production efficiency, reducing costs, and becoming truly data driven.

Desired skills

- 5 or more years of related experience with a bachelor’s degree OR 3 or more years with a master’s degree.
- MSc preferred.
- Solid understanding of manufacturing environments and supply chain.
- Familiar with CATIA or CREO CAD. Knowledge of SAP and Dassault Apriso.
- Familiar with one or more of Visual Components, Process Simulator/ProModel, Simio, or similar (simulation.)
- Minitab and/or Excel/QI Macros a plus.
- Solid communication skills. Able to present findings and recommendations clearly and concisely to a diverse audience.
- Strong team working/interpersonal skills.

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.