Staff AI Data Science Engineer

Key Skills

Aartificial intelligence, AWS, CNNs, Data Modeling, Data science techniques, Elasticsearch, Machine learning techniques, Python Programming, R Programming, RNNs, SQL, Tableau

Job Description

As our Senior AI / Data Science Engineer, you will be curious, detail-oriented, and ethically conscious. You seek to ask the right questions about our strategies, the business, and how we can use AI and data science to find solutions. You are a strategic thinker who can help select the right algorithms and approaches to enable better business outcomes. You want to drive positive change for our organizations, are candid and collaborative in taking on our most difficult projects as well as the process and culture changes that accompanies them. You will build deep and trusted partnerships at the working and organizational levels.

Responsibilities will include, but are not limited to:

• Define and drive AI and data science practices for the organization and our customers
• Advise on best approaches and solution designs
• Participate in technology evaluations and help define and determine organizational standards on selection / use of technology to evolve AI best practices and data modeling needs
• Mentor and develop AI engineers, data scientists and analysts within the organization.
• Advise business and technical leaders in crafting their product strategies.

Basic Qualifications:

Must have one of the following:

• Bachelor’s degree with a minimum of 14 years of relevant experience
• Master’s degree with a minimum of 12 years of relevant experience
• PhD with a minimum of 9 years of relevant experience
• Demonstrated experience using AI and data science to solve difficult challenges
• Understanding of advanced data modeling techniques, including experience with AI/ML techniques and technologies
• Experience in executive data storytelling, building compelling, concise, and insightful presentations to communicate developed insights
• Ability to extract and manipulate data from databases (e.g., SQL, Oracle, SQL Server)
• Ability to use statistical programming languages and tools (e.g., R, Python, Tableau)
• Experience collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences
• Must be able to work in our Orlando, FL office or be willing to travel to this office as required if an alternate work location is granted
• Must have the ability to obtain and maintain a security clearance

Preferred Qualifications:

• Advanced Degree in Data Science, AI or quantitative field (e.g., Math, Physics, Engineering)
• Understanding of deep learning architectures (e.g. MLP, CNN, RNN), including Linear/Logistic Regression, Decision Trees, Random Forest boosting algorithms
• Experience with leading edge AI tools, including Python’s AI tools, NVIDIA’s AI tools, IBM Watson, AskSage
• Understanding of key AI/ML approaches, including Unsupervised Learning, Reinforcement Learning, and Generative AI
• Understanding of Networking and Infrastructure, including cloud architecture (e.g. AWS, Amazon Elastic Compute Cloud, SageMaker)
• Proficiency in data visualization

Salary Range: $172,400 - $258,600

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.