Data Scientist - E2

Lockheed Martin; Fort Worth (TX); On-site; USD 81,000 - 151,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Flexible work arrangements

401(k) match

Paid time off

Job summary

Lockheed Martin in Fort Worth, TX seeks a data scientist to model, simulate, and analyze data for the F-35 Sustainment program. You will collect, process, and translate insights into actionable business decisions using statistical methods and multi-criteria decision analysis.

Responsibilities include building data models, performing risk and life-cycle cost analyses, creating visualizations with Tableau, and collaborating with technical leads to improve Sustainment capabilities.

Qualifications

• Bachelor's degree in engineering or related technical discipline with emphasis in modeling, data manipulation, and statistical methods.
• Experience in descriptive and predictive modeling, prescriptive modeling, and/or optimization.
• AI/Machine learning experience and programming with Python or other high-level languages.
• Experience with distributed databases and large datasets.
• Strong data visualization skills and proficiency with statistical analysis.

Responsibilities

• Utilize modeling and simulation principles to conduct metrics assessments using industry tools.
• Work with technical leads to implement improved Sustainment modeling and analysis capabilities.
• Analyze F-35 performance to forecast issues, root causes, and corrective actions.
• Build and validate data models and discrete event simulators.
• Collect, clean, and manage quantitative and qualitative data; convert artifacts into visualizations using Tableau.

Skills

Descriptive modeling

Predictive modeling

AI/ML

Python programming

Data visualization

Big data handling

Education

Bachelor of Science in engineering or related

Tools

Tableau

SQL

Python

Alteryx

MATLAB

SAS

Job description

Standard Job Description

Perform modeling, simulation & analysis in support of the F-35 Sustainment program and will be responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the data scientist draws insights from data, and translates those insights into action that drive business results. The selected candidate should have the ability to perform analysis via multi-criteria decision modeling including statistical & risk analysis, life-cycle cost analysis, performance & cost trade-offs, and business case analysis. They should have a foundational understanding of a broad set of tools to be able to apply the right tool to each data exploration activity. The selected candidate will be responsible to:

• Utilize modeling & simulation technical principles, theories, concepts, and techniques to conduct supportability and performance based logistics metrics assessments using commercial, government, and LM developed tools.
• Work under the guidance of a technical lead to implement improved Sustainment modeling & analysis capabilities in several areas.
• Analyze F-35 fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions.
• Experience with the construction and execution of data models and discrete event simulators.
• Experience with quantitative and qualitative data collection, data cleaning and management.
• Experience with converting data artifacts into visualizations utilizing Tableau.
• Comfortable working in "big data" environments (downloading, uploading, aggregating, etc).

Standard Job Description

Perform modeling, simulation & analysis in support of the F-35 Sustainment program and will be responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the data scientist draws insights from data, and translates those insights into action that drive business results. The selected candidate should have the ability to perform analysis via multi-criteria decision modeling including statistical & risk analysis, life-cycle cost analysis, performance & cost trade-offs, and business case analysis. They should have a foundational understanding of a broad set of tools to be able to apply the right tool to each data exploration activity. The selected candidate will be responsible to:

• Utilize modeling & simulation technical principles, theories, concepts, and techniques to conduct supportability and performance based logistics metrics assessments using commercial, government, and LM developed tools.
• Work under the guidance of a technical lead to implement improved Sustainment modeling & analysis capabilities in several areas.
• Analyze F-35 fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions.
• Experience with the construction and execution of data models and discrete event simulators.
• Experience with quantitative and qualitative data collection, data cleaning and management.
• Experience with converting data artifacts into visualizations utilizing Tableau.
• Comfortable working in "big data" environments (downloading, uploading, aggregating, etc).

Basic Qualifications

• Bachelor of Science degree in Engineering or related technical discipline (Industrial, Mechanical, Aerospace, Electrical, etc), Physics, Data Science, Data Analysis, Physics, or Mathematics (use of stochastic and deterministic data models) or related technical disciplines with an emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods to business problems..
• Experience in descriptive and predictive modeling, prescriptive modeling, and/or optimization.
• AI/Machine learning
• Programming experience with Python or other high-level language.
• Experience with distributed databases and with large datasets
• Strong data visualization skills and proficiency with statistical analysis

Desired Skills

• Advanced statistics and statistical modeling
• Prescriptive analytics
• Time series analysis and forecasting
• Languages: R, SAS, Python, MATLAB, SQL, Alteryx, Tableau
• Experience with continuous improvement opportunities
• Ability to interact with the customer as the subject matter expert to present and work through data issues and discrepancies
• Knowledge of the SAFe agile framework environment and in a product owner support role
• Ability to define technical solutions against business opportunities
• Experience with application of scientific methods for testing and debugging, problem resolution, root-cause analysis.
• Experience deconstructing complex operations into component data problems for distributed work across teams.
• Experienced in data structures and hierarchies
• Experience collecting and compiling datasets from disparate data sources into the required data structure.
• Proficiency with MS Office tool suite.
• Experience managing data quality and configuration control.
• Experience analyzing supply chain networks.
• Analytical skills and understanding of system databases, data elements and application software solutions to optimize data gathering and analysis.

Pay Information

Full-Time Salary Range: $81100.00 - $150500.00

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered:

Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.

• Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
• For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.