Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world’s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their daily goals by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.
The Northrop Grumman Mission Systems (NGMS) Microelectronics Design and Applications business pushes the boundaries of innovation, redefining the leading edge of exotic new technologies in computation, system security, and AI. Artificial Intelligence (AI) and Transformational Computing (TC) are among our most challenging and exciting fields. In AI we are developing capabilities to apply next-generation AI and machine learning to NGMS solutions. In TC we are leveraging NG proprietary superconducting technologies to transform computing beyond Moore’s Law and advance development of large-scale high-performance computing systems. You will work in a fast-paced team environment alongside many scientists and engineers to make these solutions a reality.
The Microelectronics Design and Applications (MDA) team is seeking a data scientist who will make significant and ongoing contributions to the maturation of our data-driven processes. You will collect, process and present information, including actionable insights, from multiple disparate data sets. The ideal candidate possesses both the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. In addition to being a highly proficient data analyst, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale. As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data.
This position requires work on-site located at Linthicum, MD and/or Annapolis Junction, MD as needed.
Responsibilities for a Tableau Data Engineer:
· Utilize Tableau to build core capabilities used to better decipher and visualize data supporting the needs of a new superconducting electronics wafer fabrication line.
· Collaborate with engineering teams to understand data analysis needs and build custom solutions in Tableau to meet those needs.
· Diagnose and troubleshoot issues related to data fidelity, dashboards or reports.
· Work under minimal direction to proactively determine and develop data visualization solutions to meet ever the changing needs of a fast-paced R&D environment.
· Communicate effectively at all levels of the organization, with internal and external customers, in written and verbal format.
Basic Qualifications:
· Bachelor's degree or higher in a STEM discipline (Science, Technology, Engineering, Math) with 2+ years of relevant experience, STEM Master's with 0 year's experience.
· Proficient in Tableau dashboard creation.
· Experience in modern programing languages (Python, SQL etc.).
· Knowledge of databases concepts and data structure.
· Experienced in data visualization best practices.
· Understand calculated fields, how to implement parameters, level of detail calculations and hierarchies.
· Strong organizational and project management skills, able to execute independently and with a small team.
· Must be willing to work on site 100% of time.
· Limited travel to local Northrop Grumman facilities may be required.
· This position requires the applicant to be a U.S. citizen with the ability to obtain and maintain a TS/SCI with poly clearance per business requirements.
Preferred Qualifications:
· A bachelor’s or master’s degree or higher in data science, computer science, software engineering degree.
· Highly skilled in modern programing languages (Python, SQL etc.)
· Skilled in statistical data analysis and modeling.
· Experience in high volume automated manufacturing microelectronics or semiconductor fabs.
· Experience with manufacturing datasets and data structures specifically for semiconductor or microelectronics engineering.
· Understands the differences in data representation between products, plans, recipes, and varying levels of manufacturing containers (lots, wafers, die, etc.).
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Salary Range: $91,600.00 - $137,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.