Stateside Spec Engineering jobs in the United States

Lockheed Martin

Data Scientist Senior

Grand Prairie, TX and 5 more · On-site · Senior

Sites: Grand Prairie, TX, Orlando, FL, Troy, AL, Ocala, FL, Chelmsford, MA, Archbald, PA

Discipline
Software
Industry
Defense
Constraints
Citizenship required by contract

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

MFC-Primary

Data Scientist Sr for Lockheed Martin in multiple US locations performing AI/data science to support FORCE operations. Develop prototypes and production-ready AI solutions for manufacturing-operations programs. Requires a US citizen with a bachelor’s in a technical field and strong Python/SQL, ML frameworks, and MLOps experience.

$98,100–$182,100 / year · Day shift · Bachelor's degree in Engineering, Computer Science, AI/Data Science/Analytics, or related field

Required

  • Python
  • SQL
  • experience with structured and unstructured data
  • MLOps / pipelines (desirable)
  • DevOps tools: Docker, Git, CI/CD
  • cloud experience (AWS or similar)
  • experience with machine learning frameworks (TensorFlow, PyTorch, Keras, Scik...
  • data visualization (Tableau)

Preferred

  • Knowledge of EDW SAP HANA
  • Experience with computer vision / DL techniques
  • C++, Java, Go
  • experience with SAP/Apriso or MFC ERP systems
  • data engineering and security practices

Benefits

  • medical
  • 401k
  • paid time off
  • flexible schedules
  • education assistance

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Employer description

Standard Job Description
You will be the Data Scientist Sr for the FORCE Operations Data/AI team. Our team is responsible for providing MFC-wide support.

What You Will Be Doing
As the Data Scientist Sr you will be responsible for turning stakeholder AI and data needs into actionable models, guiding projects from prototype through production, and maintaining existing data products.

Your responsibilities will include, but are not limited to:

Apply AI and data‑science techniques to support manufacturing‑operations programs.Identify and execute opportunities to integrate AI capabilities into existing FORCE products.Develop and lead the team’s AI strategy and partner with stakeholders to define business problems.Develop prototypes and advance them to production‑ready products.Maintain and enhance the legacy FORCE product suite.Why Join Us
We seek a collaborative, forward‑thinking professional who thrives on turning complex data challenges into impactful solutions. This role offers the chance to shape AI capabilities across Lockheed Martin, work with cutting‑edge technologies, and make a tangible impact on mission‑critical operations.

We are committed to supporting your work‑life balance and overall well‑being, offering flexible scheduling options. Learn more about Lockheed Martin’s comprehensive benefits package here

Further Information About This Opportunity
This position is located in multiple locations. Discover more about Lockheed Martin Missiles and Fire Control.

MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access.

     Basic Qualifications
Completed Bachelors degree from an accredited college in Engineering, Computer Science, AI/Data Science/Analytics, or other Engineering discipline.Experience with structured and unstructured data for descriptive/diagnostic, predictive, and prescriptive analytical needsWorking level experience in SQLProficiency in Python and related libraries (e.g. NumPy, Pandas)Desired Skills
Knowledge of MLOps pipeline and modern machine learning techniquesExperience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]Familiarity interfacing with databases (SQL, MongoDB, etc.)Experience with Computer Vision and other Deep Learning techniquesExperience with C++, Java, GO, and other compiled languagesExperience with TensorFlow, PyTorch, Keras, or Scikit-learnExperience with AWS or another cloud computing platformExpertise navigating, developing, and working with EDW SAP HANA databaseExtensive working knowledge developing in Tableau - data models, visualizations, maintenanceExperience with/in one or more of the Operations related business functions such as Prod Ops, Quality, PP&C, GSC, EngineeringStrong experience in MFC ERP systems (SAP, Apriso, etc)Experience with or knowledge of data engineering and associated best practices, and software/data security considerations 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.

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