Data Scientist - Lead AI and Data Science Engineer II

Deloitte•Huntsville, AL

44d•Onsite

About The Position

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Requirements

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to mentor and provide clear guidance to others
Bachelor’s degree
Active Secret security clearance required
5+ years of experience with data modeling, Jira, machine learning, Python, and SQL
Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Nice To Haves

Experience supporting operational technology cybersecurity analytics use cases
Experience developing and maintaining machine learning models in production environments
Experience designing data pipelines across on-premises and cloud-connected environments
Experience analyzing cyber data to identify anomalies, patterns, and indicators
Experience working with cross-functional stakeholders across delivery, security operations, cloud, and program management teams

Responsibilities

Develop and sustain operational technology cyber data ontologies that support analytics, detection, and reporting use cases
Build, train, test, and maintain machine learning models for operational technology cyber threat and attack detection
Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud and data teams, and program management to implement scalable analytics solutions