Job description

Standard Job Description As a member of the New Business Estimating – Data Analytics team, you will use the data‑science hierarchy of needs to strengthen cost‑estimating models and their underlying mathematical relationships, applying advanced statistical and machine‑learning techniques to produce reliable parametric cost analyses. Collaborating across functions, you’ll ensure that models accurately reflect both internal and external customer requirements as well as current market realities, and you will convert those results into clear visualizations, concise reports, and actionable recommendations for leadership and customers. Additional duties include supporting conceptual‑design cost studies (DTC, CAIV, LCC assessments, etc.), maintaining and qualifying cost databases, and mentoring junior colleagues in data analytics and parametric modeling. Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems.Mine, process, and summarize data; Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule Basic Qualifications - Bachelor's degree from an accredited institution - Experience in Microsoft Excel and PowerPoint at an advanced level - Experience using robust mathematical foundation complemented by solid understanding of probability theory, regression modeling, statistical inference and machine learning algorithms - Strong problem-solving, analytical and communication experience - Experience using strong data literacy, interpreting, questioning, and clearly conveying findings to a variety of audiences Desired Skills - Experience supporting proposal development, driving new‑business capture initiatives, and conducting business‑case analyses - Experience designing and deploying custom data models and algorithms on datasets to build predictive models - Working knowledge of aircraft life‑cycle with hands‑on experience in parametric estimating—including development of cost‑estimating relationships, and conducting uncertainty and sensitivity analyses - Excellent communication abilities to clearly convey analytical and technical insights and solutions to both technical and non‑technical audiences - Working knowledge/hands on experience with Python, R, or comparable programming languages for data manipulation and analysis - Experience with business intelligence and data analytics tools/platforms (Tableau or comparable tools) - Commitment to continuous learning and staying current with emerging data‑science methods, industry‑standard estimating practices, and evolving cost‑modeling techniques - The ability to obtain and maintain any required security clearance Pay Information Full-Time Salary Range: $104900.00 - $194700.00 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
Bachelor's degree from an accredited institution
Experience in Microsoft Excel and PowerPoint at an advanced level
Experience using robust mathematical foundation complemented by solid understanding of probability theory, regression modeling, statistical inference and machine learning algorithms
Strong problem-solving, analytical and communication experience
Experience using strong data literacy, interpreting, questioning, and clearly conveying findings to a variety of audiences
The ability to obtain and maintain any required security clearance

Nice-to-haves

Experience supporting proposal development, driving new‑business capture initiatives, and conducting business‑case analyses
Experience designing and deploying custom data models and algorithms on datasets to build predictive models
Working knowledge of aircraft life‑cycle with hands‑on experience in parametric estimating—including development of cost‑estimating relationships, and conducting uncertainty and sensitivity analyses
Excellent communication abilities to clearly convey analytical and technical insights and solutions to both technical and non‑technical audiences
Working knowledge/hands on experience with Python, R, or comparable programming languages for data manipulation and analysis
Experience with business intelligence and data analytics tools/platforms (Tableau or comparable tools)
Commitment to continuous learning and staying current with emerging data‑science methods, industry‑standard estimating practices, and evolving cost‑modeling techniques
Pay Information

Application prep

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Keywords to mirror

machine learningpython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave