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Cybersecurity Data Scientist Jobs in Michigan (NOW HIRING)

Corning

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Cybersecurity, or related field; or equivalent practical experience.3+ years of experience ...

KYYBA Inc

Cyber Security Architecture Manager

Detroit, MI · On-site

$109K - $148K/yr

... and data services. • Manage and guide cybersecurity architecture and engineering teams on ... Required : • Bachelor's degree in Computer Science, Information Technology, Cybersecurity ...

BeneSys, Inc.

Cybersecurity Engineer (Troy, MI)

Troy, MI · On-site

$90 - $100/hr

... data. The Cybersecurity Department is a growing team focused on continuously maturing the ... Bachelor\'s degree in Information Technology, Cybersecurity, Computer Science, or a related field ...

BeneSys

Cybersecurity Engineer (Troy, MI)

Troy, MI · On-site

... data. The Cybersecurity Department is a growing team focused on continuously maturing the ... Bachelor's degree in Information Technology, Cybersecurity, Computer Science, or a related field ...

BAMF Health Inc.

Chief Technology Officer

Grand Rapids, MI · On-site

$180 - $260/hr

... cybersecurity, and data architecture.The CTO plays a critical role in designing and leading the ... Build and lead high-performing technology teams across engineering, AI development, data science ...

BAMF Health

Chief Technology Officer

Grand Rapids, MI

... cybersecurity, and data architecture. The CTO plays a critical role in designing and leading the ... Build and lead high-performing technology teams across engineering, AI development, data science ...

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Cybersecurity Data Scientist information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do cybersecurity data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for cybersecurity data scientist in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a cybersecurity data scientist?

A Cybersecurity Data Scientist is a professional who applies data science techniques to identify, analyze, and mitigate cyber threats. They use large datasets, machine learning, and statistical analysis to detect patterns of malicious activity and develop models to predict and prevent cyber attacks. This role bridges the gap between cybersecurity and data analytics, helping organizations strengthen their security posture by turning data into actionable insights.

What are the key skills and qualifications needed to thrive as a cybersecurity data scientist?

To thrive as a Cybersecurity Data Scientist, you need a strong background in computer science, statistics, and cybersecurity principles, typically supported by a relevant degree and experience in data analysis. Familiarity with tools like Python, R, machine learning frameworks, and security information and event management (SIEM) systems is essential, as well as certifications such as CISSP or CompTIA Security+. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex threats and collaborate with cross-functional teams. These skills are critical for identifying security vulnerabilities and developing data-driven solutions to protect organizations from evolving cyber threats.

How do cybersecurity data scientists typically collaborate with IT and security teams to address emerging threats?

Cybersecurity Data Scientists work closely with IT and security teams to identify vulnerabilities, analyze security logs, and develop machine learning models that detect anomalies. They often participate in cross-functional meetings to translate complex data insights into actionable recommendations for incident response. Regular collaboration is key, as these professionals must ensure their algorithms align with real-world security protocols and integrate seamlessly with existing systems. This teamwork enhances both proactive threat detection and rapid response to security incidents.

What is the difference between Cybersecurity Data Scientist vs Cybersecurity Analyst?

AspectCybersecurity Data ScientistCybersecurity Analyst
Required CredentialsBachelor's/Master's in Data Science, Cybersecurity, or related fields; certifications like CISSP, CEHBachelor's in Cybersecurity, Information Technology, or related; certifications like CompTIA Security+, CISSP
Work EnvironmentData-driven roles, analyzing large datasets, developing modelsMonitoring security systems, incident response, threat analysis
Employer & Industry UsageTech companies, finance, healthcare, governmentAny organization with cybersecurity needs, including government and private sectors

While both roles focus on cybersecurity, a Cybersecurity Data Scientist specializes in analyzing data to identify patterns and develop predictive models, whereas a Cybersecurity Analyst primarily monitors security systems and responds to threats. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in focus and skill set.

What are popular job titles related to Cybersecurity Data Scientist jobs in Michigan?

For Cybersecurity Data Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Cybersecurity Data Scientist jobs in Michigan look for?

The top searched job categories for Cybersecurity Data Scientist jobs in Michigan are:

What cities in Michigan are hiring for Cybersecurity Data Scientist jobs?

Cities in Michigan with the most Cybersecurity Data Scientist job openings:

Cybersecurity Data Scientist jobs near you
Infographic showing various Cybersecurity Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Senior AI Engineer - Cybersecurity

Corning

Full-time

Re-posted 11 days ago

Corning rating

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

66th of 544 rated manufacturers

Job description

Role Purpose

Are you passionate about building AI agents and LLM-powered solutions that can transform cybersecurity operations?

Join Corning and help modernize how cybersecurity teams detect, prioritize, and respond to incidents through AI, automation, and intelligent workflows.

What is your role?

As a Senior AI Engineer – Cybersecurity, you will design, build, and deploy AI-powered solutions that support Corning’s Cybersecurity Incident Response Team. This role is focused on developing LLM-based applications, AI agents, RAG solutions, and automation pipelines that help analysts work faster, improve decision-making, and automate repetitive security workflows.

Major responsibilities and tasks of the position:Design, develop, and deploy AI agents and LLM-powered applications for cybersecurity and incident response use cases.Build and improve agentic workflows that automate repetitive, high-volume security tasks and support analyst decision-making.Integrate AI solutions with enterprise tools and data sources such as SIEM, EDR, identity, cloud, APIs, ticketing systems, and threat intelligence platforms.Apply secure AI practices, including human-in-the-loop controls, guardrails, prompt-injection mitigation, access controls, monitoring, and auditability.

Key Responsibilities

What do you need to have?

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Cybersecurity, or related field; or equivalent practical experience.3+ years of experience in AI engineering, software engineering, data engineering, machine learning, or applied analytics in real-world environments.Hands-on experience building solutions with LLMs, AI agents, RAG, tool integration, orchestration, or automation frameworks.Strong programming skills, preferably in Python.Experience with AI/agent frameworks or tools such as LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI, Azure OpenAI, Anthropic/Claude, Hugging Face, or similar technologies.Experience working with APIs, cloud platforms, data pipelines, automation, or enterprise applications.Familiarity with cybersecurity data or tools such as SIEM, EDR, identity, network, cloud, vulnerability management, incident response, or threat intelligence platforms.

What we offer:

Great benefits above law.Growing environment that supports learning and innovation.Opportunity to work with global teams on AI-enabled cybersecurity solutions.A role where your work can help improve cybersecurity operations through emerging technologies.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com.

More about usCorning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible

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