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Research Scientist Sr Stf

Req ID :
412592BR_4
Job Code/Title :
E1485:Research Scientist Sr Stf
Job Description :
This Lockheed Martin (LM) Enterprise Business Services (EBS) position is a part of the Technical Operations Applications organization's Data Analytics team. The selected candidate will function as both a practicing Data Scientist and an evangelist for advanced analytics techniques in support of Lockheed Martin business areas, programs, and functions.

Data analytics, the ability to capture, manage and analyze large and complex data sets, allow for improved decision-making and business practices as well as tailored products and services in many different industries and fields. Lockheed Martin’s deep experience in processing streaming sensor data and the same engineering capabilities that deployed solutions for space situational awareness and missile defense have allowed for a seamless transition to employing data analytics in the areas of forecasting, cyber security, quantum computing and medical analytics.

The responsibilities of this position include collaboration with business stakeholders to identify business opportunities and requirements to develop associated analytical models that deliver useful, actionable insights, or recommendations.

A selected candidate can expect to participate in, or lead cross functional teams to address problems and identify new data driven business opportunities beyond the current business focus. The role will combine existing and new data in order to institutionalize a data-driven analysis. Effectively identifying relevant data sources and applying a variety of tools and techniques to prepare and manipulate the data for analysis, as well as using visualization and reporting techniques to present findings and recommendations will drive successful results.

In addition to applied problem solving, a successful candidate will drive data architectures needed for sourcing and wider consumption and analysis. Partnering with Solution Architects to provide insights into current and future trends in these areas and translate them into implications for Lockheed Martin including deployment of new technologies is a key responsibility. This responsibility also includes giving advice on adequate quality, analysis, processing, privacy and security of internal and external data to improve predictive and cognitive capabilities. Self-motivated individuals with a hands-on entrepreneurial spirit, exceptional drive and the ability to work in a fast-paced multi-disciplinary environment will be successful in this role.

Limited travel (less than 25%) will be required for this role. Work location is preferred to be at a major U.S. based Lockheed Martin facility with other EBS employees.

Basic Qualifications
Minimum of 3 years of demonstrated expertise in the following:
• Computer science and statistics; Strong working knowledge of basic and Bayesian statistical concepts such as correlation, linear regression, optimization, and how they can be applied.
• Building predictive models, such as generalized linear, decision tree, and neural network models
• Performing model selection and evaluation using criteria such as Root Mean Square Error, Receiver Operator Characteristics or Lift tests
• Business fundamentals and the ability to relate them to business processes
• Designing efficient algorithms with statistical programming environments (in particular R)

Minimum of 5 years of demonstrated expertise in the following:
• Using flexible analytical approaches that allow for results at varying levels of precision
• Proficiency with SQL
• Integration and cleansing of disparate or incomplete data sets to deliver insight
• Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources combined with empirical research and finding answers to hard questions with data and data models
• Effective use of front end reporting and visualization tools that allow for findings to be effectively communicated to and applied by the business

Desired skills
• Experience in applied machine learning
• Experience in natural language processing (NLP)
• Experience with SAP HANA, Hadoop (including Hive/Impala, Spark, or Mahout) and other tools that facilitate the consumption, storage, and analysis of “Big Data”
• Domain knowledge of Aerospace & Defense industry
• Knowledge of SAP ERP Systems, Applications and Processes and data constructs, as it applies to Supply Chain Management, Production Operations, Global Sustainment, and Finance
• Experience designing efficient algorithms with programming languages and tools, such as Python, R, MATLAB, SAS, or Scala for data manipulation and statistical analysis.
• Experience designing efficient Data mining and text mining frameworks with related tools (e.g. Mahout, Weka, UIMA, GATE)
• Project Management experience planning and monitoring analytics projects using Agile/Scrum principles
• An understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
• Demonstrated business and technical communication skills, including the communication of findings and their relevance in business terms
• Ability to build strong relationships with stakeholders, customers, colleagues and suppliers and to communicate complex quantitative analysis in a clear, precise and actionable manner

As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.

Join us at Lockheed Martin, where we’re engineering a better tomorrow.

Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status.

Job Location(s): Fort Worth Colorado, Fort Worth Florida, Fort Worth Georgia, Fort Worth Maryland, Fort Worth New York, Fort Worth Pennsylvania, Fort Worth Texas
Security Clearance :
None
Business Unit :
ESS2100 ENTERPRISE BUSINESS SERVICES
Program :
ACE
Job Class :
Information Technology
Job Category :
Experienced Professional
City :
Marietta
State :
GA
Virtual :
Yes
Relocation Available :
Possible
Work Schedule :
FLEX9x80A-Friday off in 2nd week w/flex hrs/day
Req Type :
Full-Time
Shift :
First
Additional Posting Locations :
Fort Worth, King of Prussia, Littleton, Marietta, Orlando, Owego, Rockville