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Job Location: Fort Worth, TX
Job Detail:
JOB ID: 668696BR
Date posted: Jun. 20, 2024
Program: Derco – Wide
Description:
We are committed to work life balance by promoting this hybrid telework opportunity. These job requirements allow the employee to work at a Lockheed Martin-designated office or job site for part of their schedule and has a predefined regular, recurring telework schedule for the remaining part of their work schedule.
To be considered for this role, you should be local to to one of the following Lockheed Martin facility locations: Milwaukee, WI, Orlando, FL, or Fort Worth, TX.
WHAT WE’RE DOING
Dedicated. Committed. State of the Art.
For 45 years, Derco, A Lockheed Martin Company, has provided logistics and technical support for fixed-wing and rotary aircraft. We are an industry leader, offering a suite of fleet management solutions, including spares distribution, logistics solutions, repair and overhaul services and technical solutions.
THE WORK
As a Capture Data Scientist, your duties will include:
- Working alongside the Business Development and Capture teams to provide analytics support during large capture efforts
- Owning the development and maintenance of custom built analytical tools to include:
o Inheriting ownership of existing custom built tools
o Enhancing current tools and developing new tools
- Provide advanced analytics and modeling about the proposed effort to include:
o Performing Monte-Carlo analyses to understand projected metrics
o Validating and incorporating demand forecasts into modeling efforts
o Working with Supply Chain to establish purchasing forecasts and inventory budgets
- Working directly with customers to establish data requirements and provide analyses
- Participating in proposal writing with a focus on analytics requirements and metric definitions
- Working with execution analytics teams to ensure smooth transition of ownership
WHO WE ARE
Founded in 1979, Derco is a world leader in providing aircraft spares, services, and solutions to customers around the globe. Through solid relationships with premier original equipment manufacturers (OEMs), Derco maintains one of the largest and most diversified aircraft spares inventories in the world. Today, Derco is a full-service logistics and solutions provider, supporting military and commercial fleets in more than 65 countries. Derco is owned by Lockheed Martin Corporation (NYSE: LMT) of Bethesda, MD, a Fortune 100 company.
Learn More About Derco Here
Check out our state of the art facility!
The Business Intelligence and Analytics department is a dedicated team who support all parts of the business. We are driven to provide actionable intelligence allowing for data based decision making, by developing advanced analytics and automation tools.
WHO YOU ARE
You have strong analytical skills and excellent communication abilities, enabling you to effectively work with customers to procure and interpret data for insightful decision-making.
A level 2 employee is early-career and typically has to 2+ years of professional experience.
WHY JOIN US
Derco is a diverse, forward-thinking, employee-oriented company that promotes personal development and a work life balance. Derco offers a generous compensation package including: competitive pay, bonuses, health, dental, 401K with company match, and continuing education incentives.
Basic Qualifications:
- Bachelor’s degree from an accredited college in Engineering, Computer Science, or equivalent technical degree with 2 years of professional experience; or no experience required with a related Master’s degree
- Proficient in Python
- Proficient in performing statistical analyses, like Monte-Carlo analyses
- Experience with Tableau or other professional data visualizations tools
- Experience working with business data to create analytical models
- Experience working with customers to establish relationships and procure data
- Experience working with large proposals or the proposal creation process.
Desired Skills:
- Experience in machine learning and/or artificial intelligence
- Experience with the following programming languages: Python, R
- Experience with the following data analytics tools: Tableau, Tableau Prep, Alteryx, VBA/Excel Macros, Power BI
- Experience in Sales, Business Development, or Capture roles
- Experience in Business Analytics, Data Analytics, or Business Intelligence roles
- Previous Lockheed Martin experience
Clearance Level:
None
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:
4×10 hour day, 3 days off per week
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:
Possible
Career Area:
Data Science
Type:
Full-Time
Shift:
First
At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world’s most complex challenges.
Mission-Focused Innovation: From aerospace to outer space to cyber space, you can solve the world’s most complex challenges for our customers.
Foundational Values: Our culture of performance excellence, ethics, teamwork and inclusion is embedded in everything we do.
Diverse Career Opportunities with Meaningful Work: Grow your career and skills for life. Our technology-driven learning platforms and programs enable your development and agility.
Your Health, Your Wealth, Your Life: Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.
Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities and our planet.
Commitment to Sustainability: We foster innovation, integrity and security to preserve the environment, strengthen diverse communities and propel growth.
Here, the possibilities are endless because we offer:
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