Job description

Standard Job Description A purposeful, high‑impact mission drives everything we do—delivering diverse products to our customers that warfighters rely on every day. Within the Mission Systems Production Operations’ (MSPO) “One Factory” team atmosphere, you’ll collaborate across multiple teams, organizations, product lines and factories, embodying full accountability to the program and continuously improving from concept to delivery. Join a community where learning, growth and leadership opportunities are abundant, giving you portable, enterprise‑wide skills. Here, you’ll build a career that makes a tangible difference for those who defend our nation. We are looking for a Data Science and Analytics Specialist to provide project management and hands-on implementation support for data science, analytics, governance, machine learning and artificial intelligence projects across the MSPO organization as a member of the Advanced Manufacturing Technology (AMT) organization. Develop and mature data technology projects at multiple MSPO sites to drive efficiencies and savings in manufacturing support costs. Help coordinate a virtual team of citizen data scientists at multiple sites in the identification, design, and deployment of data-related factory optimization opportunities. Champion team goals, drive collaboration across sites/programs/work centers, and facilitate knowledge sharing among team members. Stay informed of a wide variety of data science and related technical principles, theories, concepts, and applications to facilitate advanced technology insertion. Core responsibilities include: • Provide project management and hands-on implementation support for data science, analytics, governance, ML, and AI projects across the MSPO organization. • Develop and mature data technology initiatives at multiple MSPO sites to drive manufacturing efficiency, cost savings, and quality improvements. • Coordinate a virtual team of citizen data scientists to identify, design, and deploy factory optimization opportunities using manufacturing data. • Champion cross-site/program collaboration, knowledge sharing, and team goals across the Advanced Manufacturing Technology organization. • Represent MSPO on cross-Business Area roadmaps and technology projects, facilitating collaboration with RMS IFF, CDAO, IT, and Advanced Quality teams to identify and replicate innovative data-driven solutions. Basic Qualifications • Minimum 1 year of experience delivering technical solutions in data science, analytics, or modeling/simulation tool deployment. • Familiarity with data management, governance, or analytics principles relevant to manufacturing efficiency and cost‑savings initiatives. • Demonstrated ability to collaborate across multiple sites or programs and contribute to knowledge sharing in a virtual team environment. Desired Skills • Experience in software coding, especially in Python and SQL • Experience in configuration management with visual studio and git hub • Experience in Alteryx, Tableau, and HANA Studio • Experience applying data science-based technologies in a manufacturing environment, especially involving machine learning and/or artificial intelligence with interfaces to Manufacturing Execution Systems or Enterprise Resource Planning systems • Experience in Agile project management, leading a team to deliver solutions within budget and schedule constraints Pay Information GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role. • Full-time salary range (GEOZONE 1): $131100.00 - $243500.00 • Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc. • Full-time salary range (GEOZONE 2): $118000.00 - $219100.00 • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc. • Full-time salary range (GEOZONE 3): $104900.00 - $194700.00 • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc. • Full-time salary range (GEOZONE 4): $94400.00 - $175200.00 • Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc. 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
Provide project management and hands-on implementation support for data science, analytics, governance, ML, and AI projects across the MSPO organization.
Develop and mature data technology initiatives at multiple MSPO sites to drive manufacturing efficiency, cost savings, and quality improvements.
Coordinate a virtual team of citizen data scientists to identify, design, and deploy factory optimization opportunities using manufacturing data.
Champion cross-site/program collaboration, knowledge sharing, and team goals across the Advanced Manufacturing Technology organization.
Represent MSPO on cross-Business Area roadmaps and technology projects, facilitating collaboration with RMS IFF, CDAO, IT, and Advanced Quality teams to identify and replicate innovative data-driven solutions.
Minimum 1 year of experience delivering technical solutions in data science, analytics, or modeling/simulation tool deployment.
Familiarity with data management, governance, or analytics principles relevant to manufacturing efficiency and cost‑savings initiatives.
Demonstrated ability to collaborate across multiple sites or programs and contribute to knowledge sharing in a virtual team environment.

Nice-to-haves

Experience in software coding, especially in Python and SQL
Experience in configuration management with visual studio and git hub
Experience in Alteryx, Tableau, and HANA Studio
Experience in Agile project management, leading a team to deliver solutions within budget and schedule constraints
Pay Information

Application prep

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

Keywords to mirror

machine learningmlaipythonsqlagile

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave