Data Scientist 2/3
VAUKEE, United States
Full Time Mid-level / Intermediate Clearance required USD 87K - 160K
Northrop Grumman
Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.Northrop Grumman Mission Systems is seeking a data scientist to join the People Analytics team within the Enterprise Insights & Analytics (EI&A) organization. This position will report to the Manager, Mission Systems People Analytics, EI&A. This role will be full-time remote with a preference near Mission Systems sites in Falls Church, Linthicum, Rolling Meadows, Salt Lake City, Woodland Hills, Sunnyvale, San Diego or Redondo Beach.
At Northrop Grumman, People Analytics is a core domain within our Enterprise Insights & Analytics (EI&A) organization. EI&A is a team of strategic analysts, scientists, engineers, and technologists who use science, research and data to identify strategic insights and create innovative analytic solutions for our business. As a member of the People Analytics team supporting the Mission Systems Sector, you will be responsible for guiding the organization with strategic analysis and providing meaning behind data.
As a data scientist, you will be curious, detail-oriented, and ethically conscious. You seek to ask questions about people, the business, and how we can use data to find solutions. You are a creative problem-solver who can determine appropriate methodologies to apply to unique data applications. You are a strategic thinker that can translate data to create well-informed people decisions to enable better business outcomes. You will develop models to help us approximate our complex business and play out potential future scenarios - ultimately seeking to answer “what if…?” questions. You want to drive positive change for our people, are candid and collaborative in taking on our most difficult analytics projects as well as the process and culture changes that accompanies them. You will collaborate across the sector and business to uncover data-driven insights to solve business challenges across the talent life-cycle and enable transformational change.
Key Responsibilities Include:
- Create strategic analysis by forming a structured hypothesis, identifying patterns in data using quantitative methods, and deriving insights that drive decision making.
- Synthesize and communicate results for executive audiences by capturing meaningful insights and takeaways from data.
- Work directly with a wide range of stakeholders, including executive leaders and HR partners, to understand organizational needs and business questions.
- Partner with analytics organizations to drive digital transformation strategy throughout sector functions and objectives.
- Create data visualizations using common tools (Python or R libraries, Tableau, etc.) and building compelling data stories.
- Design, develop and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing python and SQL.
- Data preparation/cleaning, integration, and automation from heterogeneous sources.
- Translate business questions and identify and implement appropriate modeling or analysis techniques.
- Write well-structured and understandable code to enable smooth collaboration across the team and successful model deployment.
- Drive projects from initial concept through deployment, leveraging opportunities for automation.
This requisition may be filled at either a Data Scientist level 2 or a Principal Data Scientist level 3 based on the qualifications listed below.
Basic Qualifications for a Data Scientist (level 2):
- Bachelor’s degree and 2 years of data analytics experience
- Foundational knowledge of statistical modeling and machine learning concepts
- Experience with Python or R/R Studio
- Experience transforming data using SQL or similar data querying language
- Proficient in data visualization using Tableau or similar visualization tool
- Experience collaborating on projects and communicating findings to audiences
- The ability to obtain and maintain a DoD Secret clearance is required.
- U.S. Citizenship required.
Basic Qualifications for a Principal Data Scientist (level 3):
- Bachelor’s degree and 5 years of data analytics experience OR a Master’s degree and 3 years of data analytics experience
- Foundational knowledge of statistical modeling and machine learning concepts
- Experience with Python and R/R Studio
- Experience transforming data using SQL or similar data querying language
- Proficient in data visualization using Tableau or similar visualization tool
- Experience collaborating on projects and communicating findings to audiences
- The ability to obtain and maintain a DoD Secret clearance is required.
- U.S. Citizenship required.
Preferred Qualifications:
- Degree in a quantitative field (engineering, mathematics, statistics, computer science, etc.) is preferred
- Knowledge of techniques like Monte Carlo simulation, time series modeling, or probabilistic modeling
- Experience with lightweight markup languages like Quarto Markdown to craft insights and strategic analysis
- Experience using version software control (e.g. git)
- Experience with people- or talent-related data
- Experience with Workday systems
Tags: Computer Science Data Analytics Data visualization Engineering ETL Git Machine Learning Mathematics Model deployment Monte Carlo Pipelines Python R Research SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Health care Insurance Salary bonus Transparency
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.