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Director Cyber Security Machine Learning Jobs in Houston, TX

Waste Connections

Data Scientist

The Woodlands, TX · On-site

Exposure to analytics, machine learning, data engineering, and AI initiatives * Direct interaction with business leaders and decision-makers * Ownership of projects from concept through production ...

McDermott

Manager Technology (IT)

Houston, TX · Hybrid

Machine Learning platforms * Vector databases and RAG architectures * GPU and accelerated compute ... Ensure AI solutions comply with cybersecurity, privacy, legal, and regulatory requirements.

Phillips 66

Advisor I, Cybersecurity

Houston, TX · On-site

$96K - $117K/yr

Help manage cloud-based infrastructure and services, including virtual machines, networks, storage ... learning. What You'll Bring - Required * Legally authorized to work in the job posting country

Phillips 66

Advisor I, Cybersecurity

Houston, TX · On-site

$96K - $117K/yr

Help manage cloud-based infrastructure and services, including virtual machines, networks, storage ... learning. What You'll Bring - Required * Legally authorized to work in the job posting country

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All JobsCyber Security Machine Learning JobsDirector Cyber Security Machine Learning JobsDirector Cyber Security Machine Learning Jobs in Houston, TX

Director Cyber Security Machine Learning information

See Houston, TX salary details

$38.7K

$117.4K

$171.9K

How much do director cyber security machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for director cyber security machine learning in Houston, TX is $117,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $135,600.00 per year, depending on experience, location, and employer.

What is the difference between Director Cyber Security Machine Learning vs Cyber Security Data Scientist?

AspectDirector Cyber Security Machine LearningCyber Security Data Scientist
Required CredentialsBachelor's/Master's in CS, Cybersecurity, or related; certifications like CISSP, CEH; experience in ML and securityBachelor's/Master's in CS, Data Science, or related; certifications like CISSP, GIAC; strong data analysis skills
Work EnvironmentLeads security teams, develops ML models for threat detection, strategic planningAnalyzes security data, develops models, supports security teams with insights
Employer & Industry UsageUsed in cybersecurity firms, large enterprises, government agenciesCommon in tech companies, cybersecurity firms, research institutions

The main difference is that the Director Cyber Security Machine Learning oversees security teams and strategic ML initiatives, while the Cyber Security Data Scientist focuses on analyzing data and developing models to support security operations.

Director Cyber Security Machine Learning jobs near you
Infographic showing various Director Cyber Security Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution, with an average salary of $117,356 per year, or $56.4 per hour.

Data Scientist

Waste Connections

The Woodlands, TX • On-site

Full-time

Posted 19 days ago

Waste Connections rating

7.4

Company rating: 7.4 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

29th of 92 rated recycling and waste

Job description

Waste Connections is seeking a Data Scientist to join our growing Analytics & AI team. This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions. This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.
Essential Duties and Responsibilities
  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions

  • Develop, deploy, and maintain machine learning models and advanced analytics solutions

  • Design and build scalable data pipelines and data products

  • Perform data analysis, feature engineering, forecasting, and statistical modeling

  • Create dashboards, reports, and self-service analytics tools to support decision-making

  • Monitor, improve, and support production analytics solutions

  • Present findings and recommendations to both technical and non-technical audiences

  • Drive measurable business impact through data-driven insights and operational improvements

  • Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field

  • 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline

  • Strong proficiency in Python and SQL

  • Experience building and deploying production machine learning or analytics solutions

  • Experience developing and maintaining data pipelines

  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques

  • Experience communicating analytical findings to business stakeholders

  • Excellent problem-solving, analytical, and communication skills

Preferred Qualifications
  • Experience with Databricks, Spark, or PySpark

  • Experience with cloud platforms such as AWS or Azure

  • Experience with Tableau, Power BI, or other data visualization tools

  • Experience with modern data architectures and lakehouse environments

  • Experience developing AI-enabled applications

  • Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics

What We Offer
  • Opportunity to work on high-impact business problems

  • Exposure to analytics, machine learning, data engineering, and AI initiatives

  • Direct interaction with business leaders and decision-makers

  • Ownership of projects from concept through production deployment

  • Collaborative team environment with strong opportunities for growth and development

Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

What Waste Connections employees say

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