CBTS · 11 hours ago
Technical Director IV - Data Analytics, Data Science, AI
Burbank, CA
Contract
Onsite
Director/Executive
12+ years expCBTS is seeking a Technical Director IV specializing in Data Analytics, Data Science, and AI. The role involves leading analytics and data science initiatives, providing strategic guidance, and building teams to drive measurable outcomes through data-driven insights.
Cloud ComputingConsultingInformation TechnologyCloud InfrastructureService Industry
Responsibilities
12+ years in analytics, data science, or AI, with significant leadership experience
A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems
Comfortable operating at multiple altitudes—from board-level strategy to hands-on technical guidance
Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis
Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value
Adept at building teams, culture, and operating models that scale across functions and geographies
Pragmatic, impact-driven, and allergic to vanity metrics
Strong foundation in statistics, machine learning, and experimentation
Experience in retail, e-commerce, consumer products, or digital platforms
Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks
Proven track record of driving measurable outcomes through data and AI initiatives
Exposure to generative AI at scale and AI-enabled product development
Prior ownership of company-wide analytics standards or AI governance. 4–6 years of experience in data science
Experience in media & entertainment industry is a strong advantage but not required
Curiosity and capability to work in an experimental stage of development to test hypotheses and adjust approaches to deliver the most value to business users
Experience building predictive models, especially with limited sample sizes
Understanding of clustering and dimensionality reduction techniques
Exposure to generative AI models (e.g., LLMs, diffusion models) and an interest in applying them to real-world data problems
Strong communication skills and the ability to translate data science work into business value as well as translate business user needs into data science
Strong skills in Python and common ML libraries (e.g., scikit-learn, XGBoost, pandas). SQL fluency is a plus
Familiarity with AWS tools, especially SageMaker, or equivalent cloud-based ML environments
Qualification
Required
12+ years in analytics, data science, or AI, with significant leadership experience
A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems
Comfortable operating at multiple altitudes—from board-level strategy to hands-on technical guidance
Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis
Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value
Adept at building teams, culture, and operating models that scale across functions and geographies
Pragmatic, impact-driven, and allergic to vanity metrics
Strong foundation in statistics, machine learning, and experimentation
Experience in retail, e-commerce, consumer products, or digital platforms
Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks
Proven track record of driving measurable outcomes through data and AI initiatives
Exposure to generative AI at scale and AI-enabled product development
Prior ownership of company-wide analytics standards or AI governance
4–6 years of experience in data science
Curiosity and capability to work in an experimental stage of development to test hypotheses and adjust approaches to deliver the most value to business users
Experience building predictive models, especially with limited sample sizes
Understanding of clustering and dimensionality reduction techniques
Exposure to generative AI models (e.g., LLMs, diffusion models) and an interest in applying them to real-world data problems
Strong communication skills and the ability to translate data science work into business value as well as translate business user needs into data science
Strong skills in Python and common ML libraries (e.g., scikit-learn, XGBoost, pandas). SQL fluency is a plus
Familiarity with AWS tools, especially SageMaker, or equivalent cloud-based ML environments
Preferred
Experience in media & entertainment industry is a strong advantage but not required
Company
CBTS
CBTS provides end-to-end IT and communications solutions that allow businesses to improve efficiency, enable innovation, and mitigate risk.
1001-5000 employees
H1B Sponsorship
CBTS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2024-02-06Acquired
Leadership Team
Kristin Russell
Chief Executive Officer
Phil Clark
SVP, National Territory Sales
Recent News
Business Wire
2026-01-16
2025-11-04
Company data provided by crunchbase