Data Scientist - AI and Data Science Engineer III

PowerToFly; Alabama; On-site; USD 120,000 - 180,000; Full time

Job summary

Deloitte GPS is seeking an AI and Data Science Engineer III to join the AI & Data team as part of our Government & Public Services practice. You will develop and sustain operational tech cyber data ontologies, train models, and design data pipelines across on-prem and cloud platforms to support analytics, detection, and reporting.

Collaborate with technical leads, security ops, cloud and program teams to deliver scalable analytics solutions while mentoring teammates in a fast-paced environment;

Qualifications

• Bachelor's degree.
• Active Secret security clearance required.
• 3+ years of experience with data modeling, Jira, machine learning, Python, and SQL.
• Travel 25%, on average, based on work and clients served.
• Authorized to work in the United States without employer sponsorship.

Responsibilities

• Develop and sustain operational technology cyber data ontologies for analytics, detection, and reporting.
• Build, train, test, and maintain ML models for cyber threat detection.
• Design and maintain data pipelines from on-prem to cloud platforms.
• Analyze cyber data to identify patterns and indicators for security operations.
• Collaborate with leads, delivery, security, cloud, and program teams to implement scalable analytics.

Skills

Data modeling

Machine learning

Python

SQL

Jira

Communication skills

Education

Bachelor's degree

Job description

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.

Work you'll do

As a L45 - AI and Data Science Engineer III on the AI & Data team, you will:

• 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

A successful candidate would possess these skills:

• 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

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

• Bachelor's degree
• Active Secret security clearance required
• 3+ 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

Preferred:

• 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