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Job Information

Lockheed Martin Data Scientist - Clearance Required (HYBRID TELEWORK) in Annapolis Junction, Maryland

Description: This position may be eligible for a sign on bonus up to $25K for external hires!

This position is participating in our External Referral Program. If you know somebody who may be a fit, click here to submit a referral. If your referral is hired, you'll receive a payment! code-extrefer

Data Scientist - Clearance Required

WHAT WE'RE DOING

• Join Lockheed Martin Rotary and Mission Systems, Cyber & Intelligence, where we foster innovation and integrity.

• As an Data Scientist you'll be empowered to create "new realities" and pioneer solutions that break boundaries.

• Collaborate with dynamic teams on diverse projects, from cutting-edge Web apps to revolutionary advanced technologies.

• Benefit from the support of a global technology leader that values innovative thinking and provides the resources to turn ideas into reality.

• Build on our proud legacy of achievement and contribute to shaping the future of aerospace, defense, and security solutions.

THE WORK

TKO provides systems engineering, software development, data science and cloud development and engineering services to the Cyber Infrastructure Solutions customer. The services enable the Data Transformation, Malware Analysis, and Cyber Threat Intelligence processing and sharing capabilities for the customer, fulfilling mission objectives and offering actionable information to detect and mitigate cyber threats. The contract has several locations in Maryland and a small contingent in Texas.

WHO WE ARE

• Lockheed Martin is a global leader in aerospace, defense, and security solutions, committed to excellence and integrity.

• Our culture celebrates diversity, fosters innovation, and values collaboration.

• We believe in creating an inclusive environment where everyone's contributions are recognized and valued.

WHO YOU ARE

• You are a Data Scientist with analytic development skills who will support a highly visible cyber sensor and analytic modernization program.

• You will work with a team to analyze and characterize large data sets, create data visualizations, and identify anomalous/interesting behavior.

• You will have experience with analysis in the cyber domain and discovery operations, and have experience with algorithm design and development

WHY JOIN US

• Join a global technology leader where your ideas can make a difference and your contributions are valued.

• Work on exciting projects that challenge you to push boundaries and innovate.

• Be part of a diverse and inclusive team that values collaboration and fosters personal and professional growth.

• Grow your career in an environment that encourages learning, development, and creativity.

Basic Qualifications:

B.S. degree (from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) is required) + 7 years of experience. Experience must include analyzing datasets and developing analytics. Experience must also include programming with data analysis software such as R, Python, SAS, or MATLAB.

OR

M.S. degree (from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) is required) + 5 years of experience. Experience must include analyzing datasets and developing analytics. Experience must also include programming with data analysis software such as R, Python, SAS, or MATLAB.

OR

PhD + 2 years of experience. Experience must include analyzing datasets and developing analytics. Experience must also include programming with data analysis software such as R, Python, SAS, or MATLAB.

Required Skills:

• Data science and machine learning experience

• Experience with DataFrames (Pandas or Spark)

• Experience incorporating SME input into feature vectors

• Ability to produce analysis results and data visualizations that provide insight into dataset structure and meaning

Desired Skills:

• PySpark and/or distributed computing

• Experience working in cloud environments (Azure, AWS)

Clearance Level: TS/SCI w/Poly SP

Other Important Information You Should Know

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

Schedule for this Position: 9x80 every other Friday off

Pay Rate:

The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $114,100 - $218,600. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information 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 and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.

(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.

This position is incentive plan eligible.

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.

The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.

Experience Level: Experienced Professional

Business Unit: RMS

Relocation Available: No

Career Area: Data Science

Type: Task Order/IDIQ

Shift: First

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