Data Scientist Sr - Military veterans preferred

Lockheed Martin (


  full-time   employee   contract

Fort Worth, Moorestown, Orlando, Rochester, Stratf

United States

Data Scientist Sr

Job ID: 479610BR
Date posted: Apr. 16, 2019
City: Fort Worth, Moorestown, Orlando, Rochester, Stratford
State: Connecticut, Florida, New Jersey, New York, Texas
Program: ACE RMS
Description:This position is for a data scientist within Lockheed Martin (LM) Enterprise IT (formerly EBS) Analytics Center of Excellence (ACE) supporting the Rotary and Mission Systems (RMS) Information Technology (IT) Applications organization.

The work location can be any major Lockheed Martin facility; full-time telecommuters will also be considered.
Duties and responsibilities include, but are not limited to:
Exhibits a degree of ingenuity, creativity, and resourcefulness when exploring and researching data
Applies and/or develops advanced technologies, scientific principles, theories and concepts to identify novel and meaningful patterns in data
Responsible for modeling complex business problems, discovering insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques
Collaboration with business stakeholders to identify business opportunities and requirements to develop associated analytical models that deliver useful, actionable insights, or recommendations
Basic Qualifications:
US Citizenship
Demonstrated expertise in computer science and statistics to solve data and business problems
Understands the data lifecycle and can develop and apply models to interpret data
Strong working knowledge of basic and Bayesian statistical concepts such as correlation, linear regression, optimization, and how they can be applied to algorithm development
Must have strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills
Ability to partner with stakeholders and peers (e.g. data analysts, data engineers) to identify and solve a business problem
Demonstrated experience mentoring and coaching peers
Demonstrated expertise in activation/operationalization of models and algorithms
A Bachelor’s degree in Data Science, Scientific, Engineering, Math, or other relevant area
Desired Skills:
Applying data science against open source media to support Intelligence collection and data fusion
Domain knowledge in supply chain, operations, or finance
Strong understanding or demonstrated experience in technical and non-technical documentation
Understanding of data governance and data quality
Experience with Tableau R, SAS, Python, Hadoop / Big Data, SAP HANA, Hive, Pig, Spark
Understanding of make/buy decisions for models
Understanding of model interpretation/ explainability
Experience with story-telling and visualizations within the realm of data analytics
Demonstrated experience leading small scrum teams utilizing Agile best practices
Masters or PhD in Mathematics, Engineer, Data Science/Analytics, or other relevant area
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

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.
Experience Level: Experienced Professional
Relocation Available: Possible
Career Area: Information Technology
Clearance Level: None
Type: Full-Time
Virtual Location: yes
Work Schedule: FLEX9x80A-Friday off in 2nd week w/flex hrs/day
Shift: First