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Director Predictive Analytics Jobs in El Segundo, CA

CookUnity

Director, Data Science/ML

Los Angeles, CA · On-site

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of ... predictive analytics can unlock step-change improvements in customer experience and business ...

twentysix

Director, Data Strategy

El Segundo, CA · On-site

$180 - $240/hr

Experience with Media Mix Modeling, Incrementality Testing, Forecasting, or Predictive Analytics. Experience in analytical tools such as R, Python, and SQL, and familiarity with machine learning ...

Fuel Cycle

Senior Director, Marketing

Los Angeles, CA · On-site

$175 - $215/hr

... predictive analytics for lead scoring, and intelligent automation across campaign workflows ... Experience deploying or directing AI agents in a marketing context: Treats AI as a force-multiplier ...

Catasys Health

Director Of Accounting

Santa Monica, CA · On-site

We use predictive analytics to identify health plan members with unaddressed behavioral health ... As the Director of Accounting, this role will report to the Chief Accounting Officer in our high ...

Catasys Health

Director Of Accounting

Santa Monica, CA · On-site

We use predictive analytics to identify health plan members with unaddressed behavioral health ... As the Director of Accounting, this role will report to the Chief Accounting Officer in our high ...

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Showing results 21-40

All JobsPredictive Analytics JobsDirector Predictive Analytics JobsDirector Predictive Analytics Jobs in El Segundo, CA

Director Predictive Analytics information

See El Segundo, CA salary details

$107K

$141.5K

$170.4K

How much do director predictive analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for director predictive analytics in El Segundo, CA is $141,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $150,700.00 per year, depending on experience, location, and employer.

What does a director of predictive analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What are the typical collaboration points for a director of predictive analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What cities near El Segundo, CA are hiring for Director Predictive Analytics jobs?

Cities near El Segundo, CA with the most Director Predictive Analytics job openings:

Director Predictive Analytics jobs near you

Artificial Intelligence

BridgeNexus Technologies Inc

Los Angeles, CA • On-site

Other

Posted 16 days ago

Job description

Hi, WE have below 2 positions with our direct client and both are hybrid position and kindly reply asap at your interest so I reach you immediately to schedule one round interview with client .
 
JOB 1:  AI Analyst with Healthcare Background
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client
JOB 2: AI ML Developer with Data Science experience
Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)
Duration: Long term
Client: Direct client 
 
 
 
 
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Role
Job Description
1
AI Analyst with Healthcare Background
seeking an experienced Artificial Intelligence & Machine Learning (AI/ML) Systems Analyst to bridge the gap between business stakeholders, data scientists, AI/ML engineers, and technology teams. This role will be responsible for analyzing business problems, defining AI/ML solution requirements, evaluating data readiness, supporting model implementation, and ensuring AI solutions align with business objectives, regulatory requirements, and enterprise governance standards. The ideal candidate will possess strong analytical skills, healthcare domain knowledge, and experience working with AI, machine learning, and Generative AI technologies.
Key Responsibilities
Business & Systems Analysis
  • Collaborate with business stakeholders to identify opportunities for AI/ML-driven process improvements and automation.
  • Elicit, analyze, and document business, functional, and non-functional requirements.
  • Create user stories, process flows, use cases, data mappings, and acceptance criteria.
  • Translate business requirements into AI/ML solution specifications.
  • Support backlog grooming, sprint planning, and Agile delivery processes.
AI/ML Solution Analysis
  • Partner with AI/ML engineers and data scientists to define model objectives and success metrics.
  • Analyze data sources and determine data quality, completeness, and readiness for AI initiatives.
  • Support predictive analytics, recommendation systems, NLP, GenAI, and intelligent automation initiatives.
  • Evaluate AI model outputs and assist with validation, testing, explainability, and business adoption.
Data & Analytics

    Apply