Job 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.](a href= lockheedmartin.com ) 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 needs • Working level experience in SQL • Proficiency in Python and related libraries (e.g. NumPy, Pandas) Desired Skills • Knowledge of MLOps pipeline and modern machine learning techniques • Experience 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 techniques • Experience with C++, Java, GO, and other compiled languages • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn • Experience with AWS or another cloud computing platform • Expertise navigating, developing, and working with EDW SAP HANA database • Extensive working knowledge developing in Tableau - data models, visualizations, maintenance • Experience with/in one or more of the Operations related business functions such as Prod Ops, Quality, PP&C, GSC, Engineering • Strong 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.

Requirements

Must-haves

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.
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 needs

Nice-to-haves

Knowledge of MLOps pipeline and modern machine learning techniques
Experience 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 techniques
Experience with C++, Java, GO, and other compiled languages
Experience with TensorFlow, PyTorch, Keras, or Scikit-learn
Experience with AWS or another cloud computing platform
Expertise navigating, developing, and working with EDW SAP HANA database
Extensive working knowledge developing in Tableau - data models, visualizations, maintenance
Experience with/in one or more of the Operations related business functions such as Prod Ops, Quality, PP&C, GSC, Engineering
Strong experience in MFC ERP systems (SAP, Apriso, etc)
Experience with or knowledge of data engineering and associated best practices, and software/data security considerations

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpythonmachine learningdockerjavagoaws

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave