Data Scientist/DB Lead

Lockheed Martin•Sunnyvale, CA

16h•Hybrid

About The Position

The Predictive Analytics and Cost Engineering (PACE) team is a data science team that combines technical engineering attributes and financial information to create data-driven cost estimates for program capture and support. The PACE team collects, normalizes and maps data to a standard work breakdown structure (WBS) to perform data analytics for internal and external customer support and deliverables. As part of the Finance and Business Operations (F&BO) organization, this team also works closely with Engineering and Technology (E&T), Strategy and Business Development (S&BD), Program/Proposal Management and Leads, Executive leadership and external customers. In particular, this position would be in support of managing our Historical Satellite Database, a centralized repository for space program cost/technical data normalized to a standard WBS. This includes managing day to day activities with data imports/exports from a wide range of data sources, troubleshooting, as well as leading capability enhancements. In addition, this position would be in support of significant programs/capture efforts across the lines of business (LOB). This may also involve proposal and/or data analytics and cost estimating tool development or enhancements. The role may include working on affordability analysis, life cycle cost developments, cost data analytics, forecasting cost and schedule, data collection and normalization, and design to cost. The candidate selected will be asked to analyze multiple data sets to build engineering models, synthesize results, perform decision analysis, and communicate findings with engineering colleagues and internal decision makers.

Requirements

Bachelor's or higher level degree degree in Math, Operations Research, Engineering, Finance, or any other related field or equivalent years of experience in lieu of degree
Currently active TS Clearance
SQL experience
Experience with data transformation or data movement or data analytics
Strong communication and interpersonal skills
Exceptional critical thinking and problem-solving abilities
Detail-oriented with ability to multitask, prioritize and balance multiple tasks at once
High degree of accountability and responsibility with the ability to be a self-starter
Experience with and understanding of one or more of the following: cost model development or data collection and normalization or data science or data analytics or systems engineering/architecture or spacecraft engineering fields or finance fields

Nice To Haves

Currently active TS/ SCI clearance
Master's degree in Math, Operations Research, Engineering, Finance, or related field or equivalent years of experience
Experience with Power BI and/or Tableau
Experience working with cost models, predictive analytics, or decision analysis
Knowledge of financial systems, analysis, statistics, etc.
Experience working within the space systems industry
Knowledge of data management systems and/or data science
Ability to communicate technically oriented material to broader team
Familiarity with proposal development and/or the government acquisition process
Strong team collaboration and leadership skills
Experience with Python focused on data transformation and data movement
Comfortable navigating technical and cost data with the intent of understanding the relationship between them when working a task and/or presenting results
5+ years of related experience

Responsibilities

Manage our Historical Satellite Database that informs our forecasting tools, techniques and methods
Be POC for architecture and development of our Strategic Missile Defense (SMD) line of business (LOB) data repository and support development of standard forecasting tools and dashboards
Be POC for our Human Space data repository and support development of standard forecasting tools and dashboards
Lead areas of data repository enhancements to build more efficiency and effectiveness into the utilization of data across PACE and other major functional organizations.
Create ETL pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis.
Formulating functional and technical requirements from business problems
Coordinate with Engineering, Business Development, Program Finance, Estimating, Proposal Management, and ICE around cost estimates.
Present briefings to colleagues, senior staff, and executives.
Develop data-driven cost estimates for proposal efforts that are parametrically derived.
Normalize cost and technical data.
Become knowledgeable and responsible to answer questions around cost estimates and cost drivers.