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Data Scientist

Apply Now Job ID: 499400BR Date posted: Aug. 28, 2019 City: Herndon State: Virginia Program: LEGO
Description:Are you ready to take your career to a new level and work at an extraordinary company in Herndon, VA?

The coolest jobs on this planet… or any other… are with Lockheed Martin Space.

Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing men and women are on a mission to make a difference in the world and every single day we use our unique skills and experiences to create, design and build solutions to some of the worlds’ hardest engineering problems.

Do you want to be part of a culture that inspires employees to think big, perform with excellence and build incredible products? We provide the resources, inspiration and focus - if you have the passion and courage to dream big, then we want to build a better tomorrow with you.

Do you have a passion for working on emerging technologies? Cyber is an essential element of Space’s strategy for growth as these skill-sets have become essential to meeting customer and internal needs. In support of new programs, our Cyber Exploitation teams are building capabilities and specialized tools and techniques. We are increasing focus and emphasis on our customer’s hardest problems, including challenges unique to the of cyber security tools and integrated effects.

We are looking for a Data Scientist who will support our product with insights gained from analyzing customer data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.

They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Basic Qualifications:
Demonstrated experience working with data science platforms (e.g. Tableau, Jupyter Notebook, etc.)

Demonstrated database skills with SQL databases (e.g. MySQL, Oracle, etc.)

Demonstrated experience in data science, data analysis and software development.

Demonstrated understanding of data store APIs.

Demonstrated experience using Python.
Desired Skills:
Demonstrated experience designing, developing and maintaining data visualizations within AWS/Sponsor cloud computing services.

Demonstrated experience developing in R software.

Excellent communications skills. Interaction with customer and user's a must.

Design acumen, best practices.
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. 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 Business Unit: ESS4400 SPACE Relocation Available: Possible Career Area: Scientist Clearance Level: TS/SCI w/Poly Type: Full-Time Virtual Location: no Work Schedule: STANDARD-Mon-Fri/8 hours a day Shift: First Apply Now

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