Data Scientist - E2

Requisition  Eligible?:
Yes

ERP amount: $50 LMRecognition

Relocation:
Possible Type:
Exempt

Shift: 1

Clearance Prior to Start:
None Final Clearance:
Secret Pay Transparency: $81,100.00 - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department : LM Aeronautics Co
- Marietta Business Unit: LM Aeronautics Co
- Marietta Short Description The selected candidate will join the Advanced Analytics element of the Digital Tools and Engineering (DT&E) team. Responsible for executing modeling, simulation & analysis and software development. They will perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about  relationships or latent predictive factors discovered through their work to provide business value.

Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise  should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, andother similar fields.  - Operate in a big data (high volume, high velocity, high complexity) environment and apply modeling & simulation technical principles, concepts and techniques to assess Performance Based Logistics (PBL) metrics using commercial, government, and LM developed tools
- Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support  decision-making
- Develop predictive models and new algorithms to solve data / business problems
- Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations
- Visualize and communicate findings and provide a quantitative framework for evaluating and analyzing alternatives
- Support and lead coordination and development of problem statements, root cause analysis and assessment of corrective actions, modeling approaches and ground rules and assumptions (GR&A) - Support internal and customer meetings as the subject matter expert with presentations and discussions
- Be familiar with and open to the use of AI development tools  Standard

Job Description Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results.

Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms;
Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making;
Develop predictive models and new algorithms to solve data / business problems;
Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations

Basic Qualifications Bachelors of Science degree in Data Science, Data Analysis, Mathematics, Physics, or Engineering (Industrial, Mechanical, Aerospace, Electrical, etc.) or related technical disciplines (use of stochastic and deterministic data models) with an emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods Must be able to obtain a DoD Secret Clearance to perform job duties Relevant experience in applying analytics to drive business outcomes

Experience in analyzing datasets and developing analytics

Statistical knowledge and experience with distributed databases, query languages, and/or programming with a scripting language  Strong data visualization skills and proficiency with statistical analysis

Desired Skills Air System and Sustainment Operations experience is…