Note: The job is a remote job and is open to candidates in USA. Northrop Grumman is an aerospace and defense company seeking a Data Scientist to join its Finance AI & Analytics organization. The role supports Business Management by developing and scaling statistical and machine learning models, providing strategic analysis, guiding technology decisions, and enabling data-driven solutions across the enterprise.
Responsibilities
- Develop statistical and machine learning models with a modeling & simulation lens to help quantify and reduce future uncertainty across various scenarios
- Build well-structured and understandable code to enable smooth collaboration across the team and successful model deployment
- Serve as a trusted technical expert who can offer informed guidance on methodology or technology decisions and communicate core requirements to our technology teams
- Mentor junior team members by providing guidance on best practices in data science
- Stay abreast of industry trends and methodologies and contribute innovative ideas to drive business value
Skills
- PhD with 1 years of related professional experience OR Master's degree and 3 years of related professional experience OR bachelor's degree and 5 years of related professional experience
- PhD with 3 years of related professional experience OR Master's degree and 6 years of related professional experience OR bachelor's degree and 8 years of related professional experience
- Must have deep foundational knowledge of statistical modeling and machine learning concepts
- Must have expertise with Python (at least 4 years)
- Must have proficiency with data transformation using SQL or similar data querying language
- Must have experience using version software control (e.g. git) with a team of collaborators
- Must have experience using cloud-based data science tools – i.e. AWS, Azure, DataBricks, Spark/PySpark
- Fluency in translating business problems into questions that can be answered via analytic methods
- Experience collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences
- Degree in a quantitative field (engineering, mathematics, statistics, computer science, etc.) is preferred
- Experience with Monte Carlo simulation, time series modeling, or probabilistic modeling
- Proven experience putting models into production
- Experience interfacing and presenting to executive audiences
- Experience with finance- or business management-related data
Benefits
- Employees may be eligible for overtime, shift differential, and 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.
- Health insurance coverage
- Life and disability insurance
- Savings plan
- Company paid holidays
- Paid time off (PTO) for vacation and/or personal business
- 100% virtual/telework arrangement
Company Overview