- Burbank
- Hybrid
- Hourly salary: $120 - $159
Job Description
Job Description add details here
We are seeking a Data Analytics Data Science and AI Lead to serve as a unified strategic capability for the organization. This role sits at the intersection of business insight advanced analytics and applied AI shaping how data and intelligence drive decisions experiences and operational excellence across the organization.
This leader is both a strategist and a builder - setting a clear vision developing high-performing talent and delivering measurable impact - while remaining close enough to the work to guide technical direction architectural decisions and the practical application of analytics and AI at scale.
Experience in the media/entertainment industry is a strong advantage or other creative industries. The ideal candidate has experience building Data Science solutions to support not replace human judgment and therefore has experience optimizing for results beyond just accuracy improvements such as enriching insights and discussions.
ResponsibilitiesSet the vision and roadmap for Data Analytics Data Science and AI aligned to business priorities and growth and scale high-performing teams across data science applied AI/ML experimentation and data advanced analytics and AI use cases including personalization forecasting optimization experimentation generative AI and decision data analytics strategy - ensuring accurate trusted measurement across web mobile and emerging digital experiences and translating signals into insight to execution by partnering closely with business stakeholders product engineering operations and executive and govern platforms and tooling balancing build vs. buy decisions cost scalability and long-term responsible AI and data practices including model governance experimentation standards and measurement of business compelling data stories - turning complex analyses and models into clear narratives that drive confident decisions at the executive level.
Requirements12 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 operating at multiple altitudes - from board-level strategy to hands-on technical in product and digital analytics experimentation frameworks attribution and customer behavior in ML concepts and architectures (predictive models NLP recommendation systems generative AI) and how they create real business at building teams culture and operating models that scale across functions and impact-driven and allergic to vanity foundation in statistics machine learning and in retail e-commerce consumer products or digital with cloud data and AI platforms (AWS GCP Azure) and modern analytics track record of driving measurable outcomes through data and AI to generative AI at scale and AI-enabled product ownership of company-wide analytics standards or AI governance.46 years of experience in Data in media & entertainment industry is a strong advantage but not and capability to work in an experimental stage of development to test hypotheses and adjust approaches to deliver the most value to business building predictive models especially with limited sample of clustering and dimensionality reduction to generative AI models (e.g. LLMs diffusion models) and an interest in applying them to real-world data communication skills and the ability to translate data science work into business value as well as translate business user needs into data skills in Python and common ML libraries (e.g. scikit-learn XGBoost pandas)SQL fluency is a with AWS tools especially SageMaker or equivalent cloud-based ML environments.
Education
MS/BS in Computer Science
Required Experience:
Director
BurbankHybridHourly salary: $120 - $159Job DescriptionJob Description add details hereWe are seeking a Data Analytics Data Science and AI Lead to serve as a unified strategic capability for the organization. This role sits at the intersection of business insight advanced analytics and applied AI sh...
- Burbank
- Hybrid
- Hourly salary: $120 - $159
Job Description
Job Description add details here
We are seeking a Data Analytics Data Science and AI Lead to serve as a unified strategic capability for the organization. This role sits at the intersection of business insight advanced analytics and applied AI shaping how data and intelligence drive decisions experiences and operational excellence across the organization.
This leader is both a strategist and a builder - setting a clear vision developing high-performing talent and delivering measurable impact - while remaining close enough to the work to guide technical direction architectural decisions and the practical application of analytics and AI at scale.
Experience in the media/entertainment industry is a strong advantage or other creative industries. The ideal candidate has experience building Data Science solutions to support not replace human judgment and therefore has experience optimizing for results beyond just accuracy improvements such as enriching insights and discussions.
ResponsibilitiesSet the vision and roadmap for Data Analytics Data Science and AI aligned to business priorities and growth and scale high-performing teams across data science applied AI/ML experimentation and data advanced analytics and AI use cases including personalization forecasting optimization experimentation generative AI and decision data analytics strategy - ensuring accurate trusted measurement across web mobile and emerging digital experiences and translating signals into insight to execution by partnering closely with business stakeholders product engineering operations and executive and govern platforms and tooling balancing build vs. buy decisions cost scalability and long-term responsible AI and data practices including model governance experimentation standards and measurement of business compelling data stories - turning complex analyses and models into clear narratives that drive confident decisions at the executive level.
Requirements12 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 operating at multiple altitudes - from board-level strategy to hands-on technical in product and digital analytics experimentation frameworks attribution and customer behavior in ML concepts and architectures (predictive models NLP recommendation systems generative AI) and how they create real business at building teams culture and operating models that scale across functions and impact-driven and allergic to vanity foundation in statistics machine learning and in retail e-commerce consumer products or digital with cloud data and AI platforms (AWS GCP Azure) and modern analytics track record of driving measurable outcomes through data and AI to generative AI at scale and AI-enabled product ownership of company-wide analytics standards or AI governance.46 years of experience in Data in media & entertainment industry is a strong advantage but not and capability to work in an experimental stage of development to test hypotheses and adjust approaches to deliver the most value to business building predictive models especially with limited sample of clustering and dimensionality reduction to generative AI models (e.g. LLMs diffusion models) and an interest in applying them to real-world data communication skills and the ability to translate data science work into business value as well as translate business user needs into data skills in Python and common ML libraries (e.g. scikit-learn XGBoost pandas)SQL fluency is a with AWS tools especially SageMaker or equivalent cloud-based ML environments.
Education
MS/BS in Computer Science
Required Experience:
Director
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