Data Scientist Sr - E3

Posted 15 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
98K-182K Annually
Senior level
Aerospace • Security • Cybersecurity • Industrial
The Role
Conduct exploratory data analysis, statistical modeling, machine learning, forecasting, and optimization to identify patterns and deliver actionable business recommendations. Develop predictive models and algorithms, reconcile complex datasets, create visualizations, and support decision-making. The role may address demand forecasting, inventory optimization, supply planning, and aircraft readiness metrics, using tools such as Python, R, SQL, Spark, and distributed computing technologies. DoD Secret clearance eligibility is required.
Summary Generated by Built In
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, reconciling disparate datasets, demand forecasting, inventory optimization and/or supply planning methods, readiness  metrics (mission capable, air vehicle availability, etc.)  

- 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

The selected candidate should have a foundational understanding of a broad set of tools to be able to apply the right tool to each data exploration activity. These tools could include, but are not limited to the following:

- Descriptive and Predictive modeling
- Articial Inteligence / Machine Learning (supervised and unsupervised)
- Advanced statistics and statistical modeling
- Time series analysis and forecasting
- Optimization and simulation
- Communication, story-telling and visualization
- Distributed computing (Hadoop)
- Importing, cleaning, and transforming datasets
- Data warehousing
- Critical thinking & problem-solving skills
- Data preparation and transformation 
- Languages: R, SAS, Python, Pig, Hive, Spark, MATLAB, SQL

Air System and Sustainment Operations experience is highly desired (F-35, F-22). 

Pay Information

Full-Time Salary Range: $98100.00 - $182100.00

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.

Skills Required

  • Bachelor of Science degree in Data Science, Data Analysis, Mathematics, Physics, Engineering, or a related technical discipline
  • Must be able to obtain a DoD Secret clearance
  • Relevant experience applying analytics to drive business outcomes
  • Experience analyzing datasets and developing analytics
  • Experience with demand forecasting, inventory optimization, supply planning, or readiness metrics
  • Statistical knowledge and experience with distributed databases, query languages, or scripting languages
  • Strong data visualization skills and proficiency with statistical analysis
  • Understanding of descriptive and predictive modeling
  • Experience with artificial intelligence and machine learning, including supervised and unsupervised methods
  • Experience with advanced statistics and statistical modeling
  • Experience with time-series analysis and forecasting
  • Experience with optimization and simulation
  • Experience with communication, storytelling, and visualization
  • Experience with distributed computing, including Hadoop
  • Experience importing, cleaning, transforming, preparing, and warehousing datasets
  • Proficiency with R, SAS, Python, Pig, Hive, Spark, MATLAB, or SQL
  • Air System and Sustainment Operations experience, particularly with F-35 or F-22 programs

Lockheed Martin Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.

  • Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
  • Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
  • Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.

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The Company
HQ: Bethesda, MD
108,588 Employees
Year Founded: 1912

What We Do

Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.

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